megalinter
🦙 MegaLinter analyzes 50 languages, 22 formats, 21 tooling formats, excessive copy-pastes, spelling mistakes and security issues in your repository sources with a GitHub Action, other CI tools or locally.
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Fast linters runner for Go
⚙️ A curated list of static analysis (SAST) tools and linters for all programming languages, config files, build tools, and more. The focus is on tools which improve code quality.
coala provides a unified command-line interface for linting and fixing all your code, regardless of the programming languages you use.
Quick Overview
MegaLinter is a powerful, open-source tool for linting and formatting code across multiple languages and frameworks. It combines various linters and formatters into a single, easy-to-use package, helping developers maintain consistent code quality across their projects.
Pros
- Supports a wide range of programming languages and file types
- Highly customizable with numerous configuration options
- Integrates easily with CI/CD pipelines
- Provides detailed reports and suggestions for code improvements
Cons
- Can be resource-intensive when running on large codebases
- Initial setup and configuration may be complex for some users
- May produce false positives or conflicting suggestions in certain scenarios
- Requires regular updates to keep linters and formatters current
Getting Started
To use MegaLinter in your project, follow these steps:
- Create a
.mega-linter.yml
file in your repository root:
ENABLE:
- JAVASCRIPT
- PYTHON
- MARKDOWN
JAVASCRIPT_DEFAULT_STYLE: prettier
PYTHON_BLACK_ARGUMENTS: --line-length 100
- Add a GitHub Actions workflow file (e.g.,
.github/workflows/mega-linter.yml
):
name: MegaLinter
on:
pull_request:
branches: [main]
jobs:
build:
name: MegaLinter
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: MegaLinter
uses: oxsecurity/megalinter@v6
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
- Commit and push these files to your repository. MegaLinter will now run on every pull request to the main branch, checking your code for style and quality issues.
Competitor Comparisons
Fast linters runner for Go
Pros of golangci-lint
- Specialized for Go language, offering deeper and more tailored linting
- Faster execution due to its focus on a single language
- Extensive configuration options for fine-tuning linting rules
Cons of golangci-lint
- Limited to Go projects, lacking support for other languages
- May require more setup and configuration compared to MegaLinter's out-of-the-box approach
Code Comparison
MegaLinter configuration:
ENABLE_LINTERS:
- GOLANG_GOLANGCI_LINT
golangci-lint configuration:
linters:
enable:
- gofmt
- golint
- govet
Both tools can be integrated into CI/CD pipelines, but MegaLinter provides a more comprehensive solution for multi-language projects. golangci-lint excels in Go-specific linting, offering deeper analysis and performance optimizations.
MegaLinter supports a wide range of programming languages and file types, making it suitable for diverse projects. However, this versatility may come at the cost of depth in language-specific linting.
golangci-lint's focused approach allows for more advanced Go-specific features and optimizations, but limits its applicability to Go-only projects.
Ultimately, the choice between these tools depends on the project's scope and requirements. For Go-centric projects, golangci-lint may be the preferred option, while MegaLinter is better suited for multi-language environments.
⚙️ A curated list of static analysis (SAST) tools and linters for all programming languages, config files, build tools, and more. The focus is on tools which improve code quality.
Pros of static-analysis
- Comprehensive list of static analysis tools for various programming languages
- Community-driven project with regular updates and contributions
- Provides detailed information about each tool, including language, license, and description
Cons of static-analysis
- Not an integrated solution; requires manual setup of individual tools
- Lacks standardized output format across different tools
- No built-in CI/CD integration or automated workflow
Code comparison
MegaLinter:
MEGALINTER_CONFIG:
ENABLE:
- JAVASCRIPT
- PYTHON
JAVASCRIPT_DEFAULT_STYLE: prettier
PYTHON_BLACK_ARGUMENTS: --line-length 100
static-analysis:
- [ESLint](https://github.com/eslint/eslint) - Fully pluggable tool for identifying and reporting on patterns in JavaScript
- [Pylint](https://github.com/PyCQA/pylint) - Fully customizable source code analyzer for Python
MegaLinter provides an integrated configuration for multiple linters, while static-analysis offers a curated list of individual tools that users can choose from and set up separately.
coala provides a unified command-line interface for linting and fixing all your code, regardless of the programming languages you use.
Pros of coala
- Language-agnostic design allows for analyzing multiple languages in a single project
- Highly customizable with a wide range of built-in and external linters
- Extensible plugin system for creating custom rules and linters
Cons of coala
- Less active development and community support compared to MegaLinter
- Steeper learning curve for configuration and usage
- Limited out-of-the-box support for modern CI/CD integrations
Code Comparison
coala configuration example:
[all]
files = **/*.py
bears = PEP8Bear, PyUnusedCodeBear
use_spaces = True
MegaLinter configuration example:
PYTHON_BLACK_ARGUMENTS: "--line-length=100"
PYTHON_PYLINT_ARGUMENTS: "--max-line-length=100"
VALIDATE_ALL_CODEBASE: true
Both tools offer configuration options, but MegaLinter's approach is more straightforward and aligned with modern CI/CD practices. coala's configuration is more flexible but requires more in-depth knowledge of the tool.
While coala excels in language-agnostic analysis and customization, MegaLinter provides a more user-friendly experience with better integration capabilities for modern development workflows. The choice between the two depends on specific project requirements and team preferences.
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MegaLinter, by
MegaLinter is an Open-Source tool for CI/CD workflows that analyzes the consistency of your code, IAC, configuration, and scripts in your repository sources, to ensure all your projects sources are clean and formatted whatever IDE/toolbox is used by their developers, powered by OX Security.
Supporting 62 languages, 23 formats, 20 tooling formats and ready to use out of the box, as a GitHub action or any CI system, highly configurable and free for all uses.
MegaLinter has native integrations with many of the major CI/CD tools of the market.
Before going below, see Online Documentation Web Site which has a much easier user navigation than this README
Table of Contents
- Why MegaLinter
- Quick Start
- Supported Linters
- Installation
- Configuration
- Reporters
- Flavors
- Badge
- Plugins
- They talk about MegaLinter
- Frequently Asked Questions
- How to contribute
- Special thanks
- License
- MegaLinter vs Super-Linter
Why MegaLinter
Projects need to contain clean code, in order to avoid technical debt, that makes evolutive maintenance harder and time consuming.
By using code formatters and code linters, you ensure that your code base is easier to read and respects best practices, from the kick-off to each step of the project lifecycle
Not all developers have the good habit to use linters in their IDEs, making code reviews harder and longer to process
By using MegaLinter, you'll enjoy the following benefits for you and your team:
- At each pull request it will automatically analyze all updated code in all languages
- Reading error logs, developers learn best practices of the language they're using
- MegaLinter documentation provides the list of IDE plugins integrating each linter, so developers know which linter and plugins to install
- MegaLinter is ready out of the box after a quick setup
- Formatting and fixes can be automatically applied on the git branch or provided in reports
- This tool is 100% open-source and free for all uses (personal, professional, public and private repositories)
- MegaLinter can run on any CI tool and be run locally: no need to authorize an external application, and your code base never leaves your tooling ecosystem
Quick Start
- Run
npx mega-linter-runner --install
to generate configuration files (you need node.js to be installed) - Commit, push, and create a pull request
- Watch !
Notes:
- This repo is a hard-fork of GitHub Super-Linter, rewritten in python to add lots of additional features
- If you are a Super-Linter user, you can transparently switch to MegaLinter and keep the same configuration (just replace
super-linter/super-linter@v3
byoxsecurity/megalinter@v8
in your GitHub Action YML file, like on this PR) - If you want to use MegaLinter extra features (recommended), please take 5 minutes to use MegaLinter assisted installation
- For a hand-holdy example of getting started with mega-linter check out this blog post by Alec Johnson
Supported Linters
All linters are integrated in the MegaLinter docker image, which is frequently upgraded with their latest versions
Languages
Formats
Tooling formats
Other
Installation
Assisted installation
Just run npx mega-linter-runner --install
at the root of your repository and answer questions, it will generate ready to use configuration files for MegaLinter :)
Which version to use ?
The following instructions examples are using latest MegaLinter stable version (v8 , always corresponding to the latest release)
- Docker image:
oxsecurity/megalinter:v8
- GitHub Action:
oxsecurity/megalinter@v8
You can also use beta version (corresponding to the content of main branch)
- Docker image:
oxsecurity/megalinter:beta
- GitHub Action:
oxsecurity/megalinter@beta
GitHub Action
- Create a new file in your repository called
.github/workflows/mega-linter.yml
- Copy the example workflow from below into that new file, no extra configuration required
- Commit that file to a new branch
- Open up a pull request and observe the action working
- Enjoy your more stable, and cleaner code base
NOTES:
- If you pass the Environment variable
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
in your workflow, then the MegaLinter will mark the status of each individual linter run in the Checks section of a pull request. Without this you will only see the overall status of the full run. There is no need to set the GitHub Secret as it's automatically set by GitHub, it only needs to be passed to the action. - You can also use it outside of GitHub Actions (CircleCI, Azure Pipelines, Jenkins, GitLab, or even locally with a docker run) , and have status on Github Pull Request if
GITHUB_TARGET_URL
environment variable exists.
In your repository you should have a .github/workflows
folder with GitHub Action similar to below:
.github/workflows/mega-linter.yml
This file should have this code
---
# MegaLinter GitHub Action configuration file
# More info at https://megalinter.io
name: MegaLinter
on:
# Trigger mega-linter at every push. Action will also be visible from Pull Requests to main
push: # Comment this line to trigger action only on pull-requests (not recommended if you don't pay for GH Actions)
pull_request:
branches: [master, main]
env: # Comment env block if you don't want to apply fixes
# Apply linter fixes configuration
APPLY_FIXES: all # When active, APPLY_FIXES must also be defined as environment variable (in github/workflows/mega-linter.yml or other CI tool)
APPLY_FIXES_EVENT: pull_request # Decide which event triggers application of fixes in a commit or a PR (pull_request, push, all)
APPLY_FIXES_MODE: commit # If APPLY_FIXES is used, defines if the fixes are directly committed (commit) or posted in a PR (pull_request)
concurrency:
group: ${{ github.ref }}-${{ github.workflow }}
cancel-in-progress: true
jobs:
megalinter:
name: MegaLinter
runs-on: ubuntu-latest
permissions:
# Give the default GITHUB_TOKEN write permission to commit and push, comment issues & post new PR
# Remove the ones you do not need
contents: write
issues: write
pull-requests: write
steps:
# Git Checkout
- name: Checkout Code
uses: actions/checkout@v4
with:
token: ${{ secrets.PAT || secrets.GITHUB_TOKEN }}
fetch-depth: 0 # If you use VALIDATE_ALL_CODEBASE = true, you can remove this line to improve performances
# MegaLinter
- name: MegaLinter
id: ml
# You can override MegaLinter flavor used to have faster performances
# More info at https://megalinter.io/flavors/
uses: oxsecurity/megalinter@v8
env:
# All available variables are described in documentation
# https://megalinter.io/configuration/
VALIDATE_ALL_CODEBASE: ${{ github.event_name == 'push' && github.ref == 'refs/heads/main' }} # Validates all source when push on main, else just the git diff with main. Override with true if you always want to lint all sources
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
# ADD YOUR CUSTOM ENV VARIABLES HERE OR DEFINE THEM IN A FILE .mega-linter.yml AT THE ROOT OF YOUR REPOSITORY
# DISABLE: COPYPASTE,SPELL # Uncomment to disable copy-paste and spell checks
# Upload MegaLinter artifacts
- name: Archive production artifacts
if: success() || failure()
uses: actions/upload-artifact@v4
with:
name: MegaLinter reports
path: |
megalinter-reports
mega-linter.log
# Create pull request if applicable (for now works only on PR from same repository, not from forks)
- name: Create Pull Request with applied fixes
id: cpr
if: steps.ml.outputs.has_updated_sources == 1 && (env.APPLY_FIXES_EVENT == 'all' || env.APPLY_FIXES_EVENT == github.event_name) && env.APPLY_FIXES_MODE == 'pull_request' && (github.event_name == 'push' || github.event.pull_request.head.repo.full_name == github.repository) && !contains(github.event.head_commit.message, 'skip fix')
uses: peter-evans/create-pull-request@v6
with:
token: ${{ secrets.PAT || secrets.GITHUB_TOKEN }}
commit-message: "[MegaLinter] Apply linters automatic fixes"
title: "[MegaLinter] Apply linters automatic fixes"
labels: bot
- name: Create PR output
if: steps.ml.outputs.has_updated_sources == 1 && (env.APPLY_FIXES_EVENT == 'all' || env.APPLY_FIXES_EVENT == github.event_name) && env.APPLY_FIXES_MODE == 'pull_request' && (github.event_name == 'push' || github.event.pull_request.head.repo.full_name == github.repository) && !contains(github.event.head_commit.message, 'skip fix')
run: |
echo "Pull Request Number - ${{ steps.cpr.outputs.pull-request-number }}"
echo "Pull Request URL - ${{ steps.cpr.outputs.pull-request-url }}"
# Push new commit if applicable (for now works only on PR from same repository, not from forks)
- name: Prepare commit
if: steps.ml.outputs.has_updated_sources == 1 && (env.APPLY_FIXES_EVENT == 'all' || env.APPLY_FIXES_EVENT == github.event_name) && env.APPLY_FIXES_MODE == 'commit' && github.ref != 'refs/heads/main' && (github.event_name == 'push' || github.event.pull_request.head.repo.full_name == github.repository) && !contains(github.event.head_commit.message, 'skip fix')
run: sudo chown -Rc $UID .git/
- name: Commit and push applied linter fixes
if: steps.ml.outputs.has_updated_sources == 1 && (env.APPLY_FIXES_EVENT == 'all' || env.APPLY_FIXES_EVENT == github.event_name) && env.APPLY_FIXES_MODE == 'commit' && github.ref != 'refs/heads/main' && (github.event_name == 'push' || github.event.pull_request.head.repo.full_name == github.repository) && !contains(github.event.head_commit.message, 'skip fix')
uses: stefanzweifel/git-auto-commit-action@v4
with:
branch: ${{ github.event.pull_request.head.ref || github.head_ref || github.ref }}
commit_message: "[MegaLinter] Apply linters fixes"
commit_user_name: megalinter-bot
commit_user_email: nicolas.vuillamy@ox.security
GitLab CI
Manual setup
Create or update .gitlab-ci.yml
file at the root of your repository
# MegaLinter GitLab CI job configuration file
# More info at https://megalinter.io/
mega-linter:
stage: test
# You can override MegaLinter flavor used to have faster performances
# More info at https://megalinter.io/flavors/
image: oxsecurity/megalinter:v8
script: [ "true" ] # if script: ["true"] doesn't work, you may try -> script: [ "/bin/bash /entrypoint.sh" ]
variables:
# All available variables are described in documentation
# https://megalinter.io/configuration/
DEFAULT_WORKSPACE: $CI_PROJECT_DIR
# ADD YOUR CUSTOM ENV VARIABLES HERE TO OVERRIDE VALUES OF .mega-linter.yml AT THE ROOT OF YOUR REPOSITORY
artifacts:
when: always
paths:
- megalinter-reports
expire_in: 1 week
Create a Gitlab access token and define it in a variable GITLAB_ACCESS_TOKEN_MEGALINTER in the project CI/CD masked variables. Make sure your token (e.g. if a project token) as the appropriate role for commenting a merge request (at least developer).
Using R2Devops
Our friends at R2Devops have packaged a Gitlab-CI MegaLinter workflow on their open-source templates marketplace, and it can post MegaLinter results in Gitlab Code Quality Reports !
Azure Pipelines
Use the following Azure Pipelines YAML template
You can configure a build validation branch policy against a single repository or across all repositories. If you configure across all repositories then your pipeline is stored in a central repository.
Single Repository
Add the following to an azure-pipelines.yaml
file within your code repository:
# Run MegaLinter to detect linting and security issues
- job: MegaLinter
pool:
vmImage: ubuntu-latest
steps:
# Checkout repo
- checkout: self
# Pull MegaLinter docker image
- script: docker pull oxsecurity/megalinter:v8
displayName: Pull MegaLinter
# Run MegaLinter
- script: |
docker run -v $(System.DefaultWorkingDirectory):/tmp/lint \
--env-file <(env | grep -e SYSTEM_ -e BUILD_ -e TF_ -e AGENT_) \
-e SYSTEM_ACCESSTOKEN=$(System.AccessToken) \
-e GIT_AUTHORIZATION_BEARER=$(System.AccessToken) \
oxsecurity/megalinter:v8
displayName: Run MegaLinter
# Upload MegaLinter reports
- task: PublishPipelineArtifact@1
condition: succeededOrFailed()
displayName: Upload MegaLinter reports
inputs:
targetPath: "$(System.DefaultWorkingDirectory)/megalinter-reports/"
artifactName: MegaLinterReport
Central Repository
Add the following to an azure-pipelines.yaml
file within a separate repository e.g. 'MegaLinter' repository:
# Run MegaLinter to detect linting and security issues
trigger: none
pool:
vmImage: ubuntu-latest
variables:
repoName: $[ split(variables['System.PullRequest.SourceRepositoryURI'], '/')[6] ]
steps:
# Checkout triggering repo
- checkout: git://$(System.TeamProject)/$(repoName)@$(System.PullRequest.SourceBranch)
displayName: Checkout Triggering Repository
# Pull MegaLinter docker image
- script: docker pull oxsecurity/megalinter:v8
displayName: Pull MegaLinter
# Run MegaLinter
- script: |
docker run -v $(System.DefaultWorkingDirectory):/tmp/lint \
--env-file <(env | grep -e SYSTEM_ -e BUILD_ -e TF_ -e AGENT_) \
-e SYSTEM_ACCESSTOKEN=$(System.AccessToken) \
-e GIT_AUTHORIZATION_BEARER=$(System.AccessToken) \
oxsecurity/megalinter:v8
displayName: Run MegaLinter
# Upload MegaLinter reports
- task: PublishPipelineArtifact@1
condition: succeededOrFailed()
displayName: MegaLinter Report
inputs:
targetPath: $(System.DefaultWorkingDirectory)/megalinter-reports/
artifactName: MegaLinterReport
Pull Request Comments
To benefit from Pull Request comments, please follow configuration instructions
Detailed Tutorial
You can also follow this detailed tutorial by DonKoning
Bitbucket Pipelines
-
Create a
bitbucket-pipelines.yml
file on the root directory of your repository -
Copy and paste the following template or add the step to your existing pipeline.
image: atlassian/default-image:3
pipelines:
default:
- parallel:
- step:
name: Run MegaLinter
image: oxsecurity/megalinter:v8
script:
- export DEFAULT_WORKSPACE=$BITBUCKET_CLONE_DIR && bash /entrypoint.sh
artifacts:
- megalinter-reports/**
Jenkins
Add the following stage in your Jenkinsfile
You may activate File.io reporter or E-mail reporter to access detailed logs and fixed source
// Lint with MegaLinter: https://megalinter.io/
stage('MegaLinter') {
agent {
docker {
image 'oxsecurity/megalinter:v8'
args "-u root -e VALIDATE_ALL_CODEBASE=true -v ${WORKSPACE}:/tmp/lint --entrypoint=''"
reuseNode true
}
}
steps {
sh '/entrypoint.sh'
}
post {
always {
archiveArtifacts allowEmptyArchive: true, artifacts: 'mega-linter.log,megalinter-reports/**/*', defaultExcludes: false, followSymlinks: false
}
}
}
CloudBees themselves made a nice tutorial about how to use MegaLinter with Jenkins !
Concourse
Pipeline step
Use the following job.step
in your pipeline template
Note: make sure you have job.plan.get
step which gets repo
containing your repository as shown in example
---
- name: linting
plan:
- get: repo
- task: linting
config:
platform: linux
image_resource:
type: docker-image
source:
repository: oxsecurity/megalinter
tag: v8
inputs:
- name: repo
run:
path: bash
args:
- -cxe
- |
cd repo
export DEFAULT_WORKSPACE=$(pwd)
bash -ex /entrypoint.sh
## doing this because concourse doesn't work as other CI systems
# params:
# PARALLEL: true
# DISABLE: SPELL
# APPLY_FIXES: all
# DISABLE_ERRORS: true
# VALIDATE_ALL_CODEBASE: true
OR
Use it as reusable task
Create reusable concourse task which can be used with multiple pipelines
- Create task file
task-linting.yaml
---
platform: linux
image_resource:
type: docker-image
source:
repository: oxsecurity/megalinter
tag: v8
inputs:
- name: repo
## uncomment this if you want reports as task output
# output:
# - name: reports
# path: repo/megalinter-reports
run:
path: bash
args:
- -cxe
- |
cd repo
export DEFAULT_WORKSPACE=$(pwd)
bash -ex /entrypoint.sh
- Use that
task-linting.yaml
task in pipeline
Note:
-
make sure
task-linting.yaml
is available in thatrepo
input at root -
task
output
is not shown here
resources:
- name: linting
plan:
- get: repo
- task: linting
file: repo/task-linting.yaml
# params:
# PARALLEL: true
# DISABLE: SPELL
# APPLY_FIXES: all
# DISABLE_ERRORS: true
# VALIDATE_ALL_CODEBASE: true
Drone CI
Warning: Drone CI support is experimental and is undergoing heavy modifications (see issue #2047).
-
Create a
.drone.yml
file on the root directory of your repository -
Copy and paste the following template:
kind: pipeline
type: docker
name: MegaLinter
workspace:
path: /tmp/lint
steps:
- name: megalinter
image: oxsecurity/megalinter:v8
environment:
DEFAULT_WORKSPACE: /tmp/lint
This uses the Drone CI docker runner, so it's needed to install and configure it beforehand on your Drone CI server.
(Optional) Adjusting trigger rules
The Drone CI workflow should trigger automatically for every scenario (push, pull request, syncâ¦) however, you can optionally change this behavior by changing the trigger. For example:
kind: pipeline
type: docker
name: MegaLinter
workspace:
path: /tmp/lint
steps:
- name: megalinter
image: oxsecurity/megalinter:v8
environment:
DEFAULT_WORKSPACE: /tmp/lint
trigger:
event:
- push
The workflow above should only trigger on push, not on any other situation. For more information about how to configure Drone CI trigger rules, click here.
Docker container
You can also run megalinter with its Docker container, just execute this command:
docker run --rm -v /var/run/docker.sock:/var/run/docker.sock:rw -v $(pwd):/tmp/lint:rw oxsecurity/megalinter:v8
No extra arguments are needed, however, megalinter will lint all of the files inside the /tmp/lint
folder, so it may be needed to configure your tool of choice to use the /tmp/lint
folder as workspace.
This can also be changed:
Example:
docker run --rm -v /var/run/docker.sock:/var/run/docker.sock:rw -v $(pwd):/example/folder:rw oxsecurity/megalinter:v8
Run MegaLinter locally
You can use mega-linter-runner to locally run MegaLinter with the same configuration defined in .mega-linter.yml file
See mega-linter-runner installation instructions
Example
npx mega-linter-runner --flavor salesforce -e "'ENABLE=DOCKERFILE,MARKDOWN,YAML'" -e 'SHOW_ELAPSED_TIME=true'
Note: You can also use such command line in your custom CI/CD pipelines
Configuration
.mega-linter.yml file
MegaLinter configuration variables are defined in a .mega-linter.yml file at the root of the repository or with environment variables. You can see an example config file in this repo: .mega-linter.yml
Configuration is assisted with autocompletion and validation in most commonly used IDEs, thanks to JSON schema stored on schemastore.org
- VSCode: You need a VSCode extension like Red Hat YAML
- IDEA family: Auto-completion natively supported
You can also define variables as environment variables.
- In case a variable exists in both ENV and
.mega-linter.yml
file, priority is given to ENV variable.
Common variables
ENV VAR | Default Value | Notes |
---|---|---|
ADDITIONAL_EXCLUDED_DIRECTORIES | [] | List of additional excluded directory basenames. they're excluded at any nested level. |
APPLY_FIXES | none | Activates formatting and autofix (more info) |
CLEAR_REPORT_FOLDER | false | Flag to clear files from report folder (usually megalinter-reports) before starting the linting process |
CONFIG_PROPERTIES_TO_APPEND | [] | List of configuration properties to append their values (instead of replacing them) in case of using EXTENDS. |
DEFAULT_BRANCH | HEAD | Deprecated: The name of the repository's default branch. |
DEFAULT_WORKSPACE | /tmp/lint | The location containing files to lint if you are running locally. |
DISABLE_ERRORS | false | Flag to have the linter complete with exit code 0 even if errors were detected. |
DISABLE | List of disabled descriptors keys (more info) | |
DISABLE_LINTERS | List of disabled linters keys (more info) | |
DISABLE_ERRORS_LINTERS | List of enabled but not blocking linters keys (more info) | |
ENABLE | List of enabled descriptors keys (more info) | |
ENABLE_LINTERS | List of enabled linters keys (more info) | |
EXCLUDED_DIRECTORIES | [â¦many valuesâ¦] | List of excluded directory basenames. they're excluded at any nested level. |
EXTENDS | Base mega-linter.yml config file(s) to extend local configuration from. Can be a single URL or a list of .mega-linter.yml config files URLs. Later files take precedence. | |
FAIL_IF_MISSING_LINTER_IN_FLAVOR | false | If set to true , MegaLinter fails if a linter is missing in the selected flavor |
FAIL_IF_UPDATED_SOURCES | false | If set to true , MegaLinter fails if a linter or formatter has autofixed sources, even if there are no errors |
FILTER_REGEX_EXCLUDE | none | Regular expression defining which files will be excluded from linting (more info) .ex: .*src/test.* ) |
FILTER_REGEX_INCLUDE | all | Regular expression defining which files will be processed by linters (more info) .ex: .*src/.* ) |
FLAVOR_SUGGESTIONS | true | Provides suggestions about different MegaLinter flavors to use to improve runtime performances |
FORMATTERS_DISABLE_ERRORS | true | Formatter errors will be reported as errors (and not warnings) if this variable is set to false |
GIT_AUTHORIZATION_BEARER | If set, calls git with Authorization: Bearer +value | |
GITHUB_WORKSPACE | Base directory for REPORT_OUTPUT_FOLDER , for user-defined linter rules location, for location of linted files if DEFAULT_WORKSPACE isn't set | |
IGNORE_GENERATED_FILES | false | If set to true , MegaLinter will skip files containing @generated marker but without @not-generated marker (more info at https://generated.at) |
IGNORE_GITIGNORED_FILES | true | If set to true , MegaLinter will skip files ignored by git using .gitignore file |
JAVASCRIPT_DEFAULT_STYLE | standard | Javascript default style to check/apply. standard ,prettier |
LINTER_RULES_PATH | .github/linters | Directory for all linter configuration rules. Can be a local folder or a remote URL (ex: https://raw.githubusercontent.com/some_org/some_repo/mega-linter-rules ) |
LOG_FILE | mega-linter.log | The file name for outputting logs. All output is sent to the log file regardless of LOG_LEVEL . Use none to not generate this file. |
LOG_LEVEL | INFO | How much output the script will generate to the console. One of INFO , DEBUG , WARNING or ERROR . |
MARKDOWN_DEFAULT_STYLE | markdownlint | Markdown default style to check/apply. markdownlint ,remark-lint |
MEGALINTER_CONFIG | .mega-linter.yml | Name of MegaLinter configuration file. Can be defined remotely, in that case set this environment variable with the remote URL of .mega-linter.yml config file |
MEGALINTER_FILES_TO_LINT | [] | Comma-separated list of files to analyze. Using this variable will bypass other file listing methods |
PARALLEL | true | Process linters in parallel to improve overall MegaLinter performance. If true, linters of same language or formats are grouped in the same parallel process to avoid lock issues if fixing the same files |
PARALLEL_PROCESS_NUMBER | All available cores are used by default. If there are too many, you need to decrease the number of used cores in order to enhance performances (example: 4 ) | |
PLUGINS | [] | List of plugin urls to install and run during MegaLinter run |
POST_COMMANDS | [] | Custom bash commands to run after linters |
PRE_COMMANDS | [] | Custom bash commands to run before linters |
PRINT_ALPACA | true | Enable printing alpaca image to console |
PRINT_ALL_FILES | false | Display all files analyzed by the linter instead of only the number |
REPORT_OUTPUT_FOLDER | ${GITHUB_WORKSPACE}/megalinter-reports | Directory for generating report files. Set to none to not generate reports |
SECURED_ENV_VARIABLES | [] | Additional list of secured environment variables to hide when calling linters. |
SECURED_ENV_VARIABLES_DEFAULT | MegaLinter & CI platforms sensitive variables | List of secured environment variables to hide when calling linters. Default list. This is not recommended to override this variable, use SECURED_ENV_VARIABLES |
SHOW_ELAPSED_TIME | false | Displays elapsed time in reports |
SHOW_SKIPPED_LINTERS | true | Displays all disabled linters mega-linter could have run |
SKIP_CLI_LINT_MODES | [] | Comma-separated list of cli_lint_modes. To use if you want to skip linters with some CLI lint modes (ex: file,project ). Available values: file ,cli_lint_mode ,project . |
TYPESCRIPT_DEFAULT_STYLE | standard | Typescript default style to check/apply. standard ,prettier |
VALIDATE_ALL_CODEBASE | true | Will parse the entire repository and find all files to validate across all types. NOTE: When set to false , only new or edited files will be parsed for validation. |
Activation and deactivation
MegaLinter have all linters enabled by default, but allows to enable only some, or disable only some
- If
ENABLE
isn't set, all descriptors are activated by default. If set, all linters of listed descriptors will be activated by default - If
ENABLE_LINTERS
is set, only listed linters will be processed - If
DISABLE
is set, the linters in the listed descriptors will be skipped - If
DISABLE_LINTERS
is set, the listed linters will be skipped - If
DISABLE_ERRORS_LINTERS
is set, the listed linters will be run, but if errors are found, they will be considered as non blocking
Examples:
- Run all javascript and groovy linters except STANDARD javascript linter. DevSkim errors will be non-blocking
ENABLE: JAVASCRIPT,GROOVY
DISABLE_LINTERS: JAVASCRIPT_STANDARD
DISABLE_ERRORS_LINTERS: REPOSITORY_DEVSKIM
- Run all linters except PHP linters (PHP_BUILTIN, PHP_PHPCS, PHP_PHPSTAN, PHP_PSALM)
DISABLE: PHP
- Run all linters except PHP_PHPSTAN and PHP_PSALM linters
DISABLE_LINTERS:
- PHP_PHPSTAN
- PHP_PSALM
Filter linted files
If you need to lint only a folder or exclude some files from linting, you can use optional environment parameters FILTER_REGEX_INCLUDE
and FILTER_REGEX_EXCLUDE
You can apply filters to a single linter by defining variable <LINTER_KEY>_FILTER_REGEX_INCLUDE
and <LINTER_KEY>_FILTER_REGEX_EXCLUDE
Examples:
- Lint only src folder:
FILTER_REGEX_INCLUDE: (src/)
- Don't lint files inside test and example folders:
FILTER_REGEX_EXCLUDE: (test/|examples/)
- Don't lint javascript files inside test folder:
FILTER_REGEX_EXCLUDE: (test/.*\.js)
Warning: not applicable with linters using CLI lint mode project
(see details)
Apply fixes
Mega-linter is able to apply fixes provided by linters. To use this capability, you need 3 env variables defined at top level
- APPLY_FIXES:
all
to apply fixes of all linters, or a list of linter keys (ex:JAVASCRIPT_ES
,MARKDOWN_MARKDOWNLINT
)
Only for GitHub Action Workflow file if you use it:
- APPLY_FIXES_EVENT:
all
,push
,pull_request
,none
(use none in case of use of Updated sources reporter) - APPLY_FIXES_MODE:
commit
to create a new commit and push it on the same branch, orpull_request
to create a new PR targeting the branch.
Apply fixes issues
You may see github permission errors, or workflows not run on the new commit.
To solve these issues, you can apply one of the following solutions.
-
Method 1: The most secured
- Create Fine Grained Personal Access Token, scoped only on your repository and then copy the PAT value
- Define environment secret variable named PAT on your repository, and paste the PAT value
- Update your Github Actions Workflow to add the environment name
-
Method 2: Easier, but any contributor with write access can see your Personal Access Token
- Create Classic Personal Access Token, then copy the PAT value
- Define secret variable named PAT on your repository, and paste the PAT value
Notes
- You can use Updated sources reporter if you don't want fixes to be automatically applied on git branch, but download them in a zipped file and manually extract them in your project
- If used, APPLY_FIXES_EVENT and APPLY_FIXES_MODE can not be defined in
.mega-linter.yml
config file, they must be set as environment variables - If you use APPLY_FIXES, add the following line in your
.gitignore file
megalinter-reports/
Linter specific variables
See variables related to a single linter behavior in linters documentations
Pre-commands
MegaLinter can run custom commands before running linters (for example, installing an plugin required by one of the linters you use)
Example in .mega-linter.yml
config file
PRE_COMMANDS:
- command: npm install eslint-plugin-whatever
cwd: root # Will be run at the root of MegaLinter docker image
secured_env: true # True by default, but if defined to false, no global variable will be hidden (for example if you need GITHUB_TOKEN)
- command: echo "pre-test command has been called"
cwd: workspace # Will be run at the root of the workspace (usually your repository root)
continue_if_failed: False # Will stop the process if command is failed (return code > 0)
- command: pip install flake8-cognitive-complexity
venv: flake8 # Will be run within flake8 python virtualenv. There is one virtualenv per python-based linter, with the same name
- command: export MY_OUTPUT_VAR="my output var" && export MY_OUTPUT_VAR2="my output var2"
output_variables: ["MY_OUTPUT_VAR","MY_OUTPUT_VAR2"] # Will collect the values of output variables and update MegaLinter own ENV context
- command: echo "Some command called before loading MegaLinter plugins"
cwd: workspace # Will be run at the root of the workspace (usually your repository root)
continue_if_failed: False # Will stop the process if command is failed (return code > 0)
tag: before_plugins # Tag indicating that the command will be run before loading plugins
Property | Description | Default value |
---|---|---|
command | Command line to run | Mandatory |
cwd | Directory where to run the command (workspace or root ) | workspace |
secured_env | Apply filtering of secured env variables before calling the command (default true) Be careful if you disable it ! | true |
continue_if_failed | If set to false , stop MegaLinter process in case of command failure | true |
venv | If set, runs the command into the related python venv | |
output_variables | ENV variables to get from output after running the commands, and store in MegaLinter ENV context, so they can be reused in next commands | [] |
tag | Tag defining at which commands entry point the command will be run (available tags: before_plugins ) |
Post-commands
MegaLinter can run custom commands after running linters (for example, running additional tests)
Example in .mega-linter.yml
config file
POST_COMMANDS:
- command: npm run test
cwd: "workspace" # Will be run at the root of the workspace (usually your repository root)
continue_if_failed: False # Will stop the process if command is failed (return code > 0)
Environment variables security
Secured env variables
MegaLinter runs on a docker image and calls the linters via command line to gather their results.
If you run it from your CI/CD pipelines, the docker image may have access to your environment variables, that can contain secrets defined in CI/CD variables.
As it can be complicated to trust the authors of all the open-source linters, MegaLinter removes variables from the environment used to call linters.
Thanks to this feature, you only need to trust MegaLinter and its internal python dependencies, but there is no need to trust all the linters that are used !
You can add secured variables to the default list using configuration property SECURED_ENV_VARIABLES in .mega-linter.yml or in an environment variable (priority is given to ENV variables above .mega-linter.yml
property).
Values can be:
- String (ex:
MY_SECRET_VAR
) - Regular Expression (ex:
(MY.*VAR)
)
Environment variables are secured for each command line called (linters, plugins, sarif formatter...) except for PRE_COMMANDS , ONLY if you define secured_env: false
in the command.
Secured configuration examples
- Example of adding extra secured variables
.mega-linter.yml
:
SECURED_ENV_VARIABLES:
- MY_SECRET_TOKEN
- ANOTHER_VAR_CONTAINING_SENSITIVE_DATA
- OX_API_KEY
- (MY.*VAR) # Regex format
- Example of adding extra secured variables in CI variables, so they can not be overridden in .mega-linter.yml:
SECURED_ENV_VARIABLES=MY_SECRET_TOKEN,ANOTHER_VAR_CONTAINING_SENSITIVE_DATA,OX_API_KEY
Default secured variables
If you override SECURED_ENV_VARIABLES_DEFAULT, it replaces the default list, so it's better to only define SECURED_ENV_VARIABLES to add them to the default list !
SECURED_ENV_VARIABLES_DEFAULT contains:
- GITHUB_TOKEN
- PAT
- SYSTEM_ACCESSTOKEN
- GIT_AUTHORIZATION_BEARER
- CI_JOB_TOKEN
- GITLAB_ACCESS_TOKEN_MEGALINTER
- GITLAB_CUSTOM_CERTIFICATE
- WEBHOOK_REPORTER_BEARER_TOKEN
- NODE_TOKEN
- NPM_TOKEN
- DOCKER_USERNAME
- DOCKER_PASSWORD
- CODECOV_TOKEN
- GCR_USERNAME
- GCR_PASSWORD
- SMTP_PASSWORD
- CI_SFDX_HARDIS_GITLAB_TOKEN
- (SFDX_CLIENT_ID_.*)
- (SFDX_CLIENT_KEY_.*)
Unhide variables for linters
You can configure exceptions for a specific linter by defining (linter-key)_UNSECURED_ENV_VARIABLES.
Variable names in this list won't be hidden to the linter commands.
TERRAFORM_TFLINT_UNSECURED_ENV_VARIABLES:
- GITHUB_TOKEN # Can contain string only, not regex
CLI lint mode
Each linter is pre-configured to use a default lint mode, which are visible in the MegaLinter documentation (example). The possible values are:
list_of_files
: The linter is called only once, and passed a list of all the files to be processedproject
: The linter is called only once, from the root folder of the repository, and it scans for the files to process, as no file names are provided itfile
: The linter is called once per file, which hurts performance
You can override the CLI_LINT_MODE by using a configuration variable for each linter (see linters documentation).
- Linters that default to the
file
lint mode cannot be overridden to use thelist_of_files
lint mode - Linters that default to the
project
lint mode cannot be overridden to use either thelist_of_files
orfile
lint modes.
Allowing file
or list_of_files
to be overridden to project
is mostly for workarounds. For example, some linters have a problem finding their config file when the current folder isn't the repository's root folder.
Special considerations:
- Linters that are configured to use the
project
lint mode ignore variables likeFILTER_REGEX_INCLUDE
andFILTER_REGEX_EXCLUDE
, as they are not passed a list of files to lint. For those linters, you must check their documentation to see if a linter can be configured to ignore specific files. For example, the Secretlint linter ignore files listed in~/.secretlintignore
by default, or it can be configured to instead ignore files listed in~/.gitignore
by settingREPOSITORY_SECRETLINT_ARGUMENTS
to--secretlintignore .gitignore.
.
Reporters
MegaLinter can generate various reports that you can activate / deactivate and customize
Reporter | Description | Default |
---|---|---|
Text files | Generates One log file by linter + suggestions for fixes that can not be automated | Active |
SARIF (beta) | Generates an aggregated SARIF output file | Inactive |
GitHub Pull Request comments | MegaLinter posts a comment on the PR with a summary of lint results, and links to detailed logs | Active if GitHub Action |
Gitlab Merge Request comments | Mega-Linter posts a comment on the MR with a summary of lint results, and links to detailed logs | Active if in Gitlab CI |
Azure Pipelines Pull Request comments | Mega-Linter posts a comment on the PR with a summary of lint results, and links to detailed logs | Active if in Azure Pipelines |
Bitbucket Pull Request comments | Mega-Linter posts a comment on the PR with a summary of lint results, and links to detailed logs | Active if in Bitbucket CI |
API (Grafana) | Sends logs and metrics to Grafana endpoint (Loki / Prometheus) | Inactive |
Updated sources | Zip containing all formatted and autofixed sources so you can extract them in your repository | Active |
IDE Configuration | Apply MegaLinter configuration in your local IDE with linter config files and IDE extensions | Active |
GitHub Status | One GitHub status by linter on the PR, with links to detailed logs | Active if GitHub Action |
File.io | Send reports on file.io so you can access them with a simple hyperlink provided at the end of console log | Inactive |
JSON | Generates a JSON output report file | Inactive |
Receive all reports on your e-mail, if you can not use artifacts | Active | |
TAP files | One file by linter following Test Anything Protocol format | Active |
Console | Execution logs visible in console with summary table and links to other reports at the end | Active |
Markdown Summary | Generates a Markdown summary report file | Inactive |
Flavors
To improve run performances, we generate Flavored MegaLinter images containing only the list of linters related to a project type
- When using default MegaLinter, if a MegaLinter Flavor would cover all your project requirements, a message is added in the logs
- If your project uses a MegaLinter Flavor not covering linter requirements, an error message will be thrown with instructions about how to solve the issue
The following table doesn't display docker pulls from MegaLinter v4 & v5 images.
Flavor | Description | Embedded linters | Info | |
---|---|---|---|---|
all | Default MegaLinter Flavor | 124 | ||
c_cpp | Optimized for pure C/C++ projects | 54 | ||
ci_light | Optimized for CI items (Dockerfile, Jenkinsfile, JSON/YAML schemas,XML | 21 | ||
cupcake | MegaLinter for the most commonly used languages | 83 | ||
documentation | MegaLinter for documentation projects | 49 | ||
dotnet | Optimized for C, C++, C# or VB based projects | 61 | ||
dotnetweb | Optimized for C, C++, C# or VB based projects with JS/TS | 70 | ||
formatters | Contains only formatters | 17 | ||
go | Optimized for GO based projects | 51 | ||
java | Optimized for JAVA based projects | 52 | ||
javascript | Optimized for JAVASCRIPT or TYPESCRIPT based projects | 59 | ||
php | Optimized for PHP based projects | 54 | ||
python | Optimized for PYTHON based projects | 62 | ||
ruby | Optimized for RUBY based projects | 50 | ||
rust | Optimized for RUST based projects | 50 | ||
salesforce | Optimized for Salesforce based projects | 54 | ||
security | Optimized for security | 24 | ||
swift | Optimized for SWIFT based projects | 50 | ||
terraform | Optimized for TERRAFORM based projects | 54 |
If you need a new flavor, post an issue :wink:
Badge
You can show MegaLinter status with a badge in your repository README
If your main branch is master , replace main by master in URLs
Markdown
- Format
[![MegaLinter](https://github.com/<OWNER>/<REPOSITORY>/workflows/MegaLinter/badge.svg?branch=main)](https://github.com/<OWNER>/<REPOSITORY>/actions?query=workflow%3AMegaLinter+branch%3Amain)
- Example
[![MegaLinter](https://github.com/nvuillam/npm-groovy-lint/workflows/MegaLinter/badge.svg?branch=main)](https://github.com/nvuillam/npm-groovy-lint/actions?query=workflow%3AMegaLinter+branch%3Amain)
reStructuredText
- Format
.. |MegaLinter yes| image:: https://github.com/<OWNER>/<REPOSITORY>/workflows/MegaLinter/badge.svg?branch=main
:target: https://github.com/<OWNER>/<REPOSITORY>/actions?query=workflow%3AMegaLinter+branch%3Amain
- Example
.. |MegaLinter yes| image:: https://github.com/nvuillam/npm-groovy-lint/workflows/MegaLinter/badge.svg?branch=main
:target: https://github.com/nvuillam/npm-groovy-lint/actions?query=workflow%3AMegaLinter+branch%3Amain
Note: IF you did not use MegaLinter
as GitHub Action name, please read GitHub Actions Badges documentation{target=_blank}
Plugins
For performances and security reasons, we can not embed all linters of the world within MegaLinter.
But our core architecture allows to build and publish MegaLinter Plugins !
External Plugins Catalog
Name | Description | Author | Raw URL |
---|---|---|---|
jupyfmt | The uncompromising Jupyter notebook formatter | Kim Philipp Jablonski | Descriptor |
linkcheck | Plugin to check and validate markdown links exist and working | Shiran Rubin | Descriptor |
nitpick | Command-line tool and flake8 plugin to enforce the same settings across multiple language-independent projects | W. Augusto Andreoli | Descriptor |
mustache | Plugin to validate Logstash pipeline definition files using mustache | Yann Jouanique | Descriptor |
salt-lint | Checks Salt State files (SLS) for best practices and behavior that could potentially be improved. | Joachim Grimm | Descriptor |
Note: Using an external plugin means you trust its author
Submit a Pull Request if you want your plugin to appear here :)
Use external plugins
Add plugin URLs in PLUGINS
property of .mega-linter.yml
. URLs must either begin with "https://" or take the form of "file://<path>", where <path> points to a valid plugin descriptor file.
Note: Both <path> and the default mount directory (/tmp/lint/<path>) will be checked for a valid descriptor.
Example
PLUGINS:
- https://raw.githubusercontent.com/kpj/jupyfmt/master/mega-linter-plugin-jupyfmt/jupyfmt.megalinter-descriptor.yml
- file://.automation/test/mega-linter-plugin-test/test.megalinter-descriptor.yml
Create your own plugin
You can implement your own descriptors and load them as plugins during MegaLinter runtime
- Descriptor format is exactly the same than MegaLinter embedded ones (see json schema documentation)
- Plugins descriptor files must be named **.megalinter-descriptor.yml and respect MegaLinter Json Schema
- Plugins must be hosted in a url containing **/mega-linter-plugin-**/
- File URLs must conform to the same directory and file naming criteria as defined above.
Limitations
- For now, the only
install
attributes managed aredockerfile
instructions starting byRUN
They talk about MegaLinter
English articles
French articles
Article | Author |
---|---|
MegaLinter{target=_blank} | Stéphane Robert, 3DS OutScale{target=_blank} |
MegaLinter: un linter pour les gouverner tous{target=_blank} | Guillaume Arnaud, WeScale{target=_blank} |
MegaLinter, votre meilleur ami pour un code de qualité{target=_blank} | Thomas Sanson{target=_blank} |
Japanese articles
Article | Author |
---|---|
Try using MegaLinter{target=_blank} | Takashi Minayaga{target=_blank} |
Videos
- (FR) MegaLinter presentation at DevCon 20 / Programmez Magazine, by Nicolas Vuillamy
- Code quality - Ep01 - MegaLinter, one linter to rule them all, by Bertrand Thomas
- DevSecOps Webinar using MegaLinter, by 5.15 Technologies{target=_blank}
- Ortelius Architecture Meeting, with a review of MegaLinter, by Steve Taylor{target=_blank} from Ortelius
- (FR) Coding Tech - L'importance de la CI/CD dans le développement de logiciels, by Arsene Fougerouse from R2DevOps
Web Sites
- analysis-tools.dev{target=_blank}
- awesome-linters{target=_blank}
- schemastore.org{target=_blank}
- r2devops.io{target=_blank}
- abhith.net{target=_blank}
- my-devops-lab.com{target=_blank}
Linters
- checkstyle{target=_blank}
- clj-kondo{target=_blank}
- cljstyle{target=_blank}
- cspell{target=_blank}
- detekt{target=_blank}
- djlint{target=_blank}
- dotenv-linter{target=_blank}
- editorconfig-checker{target=_blank}
- eslint{target=_blank}
- eslint-plugin-jsonc{target=_blank}
- hadolint{target=_blank}
- htmlhint{target=_blank}
- jscpd{target=_blank}
- kics{target=_blank}
- ktlint{target=_blank}
- lintr{target=_blank}
- markdown-link-check{target=_blank}
- npm-groovy-lint{target=_blank}
- npm-package-json-lint{target=_blank}
- pmd{target=_blank}
- rst-lint{target=_blank}
- rstcheck{target=_blank}
- rubocop{target=_blank}
- scalafix{target=_blank}
- secretlint{target=_blank}
Frequently Asked Questions
My repo CI already have linters and they're perfectly working, so why do I need MegaLinter ?
You can perfectly continue using your installed linters and deactivate them in .mega-linter.yml
. For example, in a javascript project using eslint, you can configure MegaLinter with DISABLE: JAVASCRIPT
. That way, you will benefit from both your installed linters but also from other MegaLinter linters checking JSON, YAML, Markdown, Dockerfile, Bash, spelling mistakes, dead URLsâ¦
Ok but⦠how does it work ?
MegaLinter is based on Docker images containing either all linters, or just a selection of linters if you are using a MegaLinter flavor for a project using a specific language / format
The core architecture does the following:
- Initialization
- List all project files:
- except files in ignored folders (
node_modules
, etcâ¦) - except files not matching
FILTER_REGEX_INCLUDE
(if defined by user) - except files matching
FILTER_REGEX_EXCLUDE
(if defined by user)
- except files in ignored folders (
- Collect files for each activated linter, matching their own filtering criteria:
- file extensions
- file names
- file content
<descriptor_or_linter_key>_FILTER_REGEX_INCLUDE
(if defined by user)<descriptor_or_linter_key>_FILTER_REGEX_EXCLUDE
(if defined by user)
- List all project files:
- Linting
- Parallelly, for each linter with matching files:
- Call the linter on matching files (or the whole project for some linters like copy-paste detector)
- Call activated linter-level reporters (GitHub Status Reporterâ¦)
- Parallelly, for each linter with matching files:
- Finalization
- Call activated global level reporters (GitHub Pull Request Comment Reporter, File.io Reporter, Email Reporterâ¦)
- Manage return code:
- 0 if no error (or only non blocking errors if user defined
DISABLE_ERRORS
or<descriptor_or_linter_key>_DISABLE_ERRORS
) - 1 if errors
- 0 if no error (or only non blocking errors if user defined
How to contribute
Contributions to MegaLinter are very welcome, the more we're, the stronger MegaLinter is ! Please follow Contributing Guide
To help, you can also:
- :star: star the repository
- :beer: offer a beer !
- report problems and request new features
- share on twitter{target=_blank}
Special thanks
Maintainers
MegaLinter wouldn't be what it is without its great team of maintainers !
Contributors
Open-source teams
MegaLinter obviously would not exist without its linters and libraries, so many thanks to all the dedicated Open-Source teams maintaining all these awesome linters !
Super-Linter team
MegaLinter has been built on the ashes of a rejected Pull Request{target=_blank} on GitHub Super-Linter{target=_blank}.
Even if I disagree with their decision to remain in bash, the core team has always been nice and supporting during the time I was a Super-Linter contributor{target=_blank} :)
License
MegaLinter vs Super-Linter
The hard-fork of Super-Linter to be rewritten in Python isn't just a language switch: use of python flexibility and libraries allowed to define lots of additional functions described below
Security
MegaLinter hides many environment variables when calling the linters.
That way you need to trust only MegaLinter core code with your secrets, not the 100+ embedded linters !
Performances
- MegaLinter Flavors allow to use smaller docker images, so the pull time is reduced
- Thanks to python multiprocessing capabilities, linters are run in parallel, which is way faster than Super-Linter bash script who runs all linters in sequence
- When the linter allows it, call it 1 time with N files, instead of calling N times with one file
More languages and formats linted
- C, C++, Copy-Paste detection, Credentials, GraphQL, JSON & YAML with JSON schemas, Markdown tables formatting, Puppet, reStructuredText, Rust, Scala, Spell checker, Swift, Visual Basic .NET â¦
Automatically apply formatting and fixes
MegaLinter can automatically apply fixes performed by linters, and push them to the same branch, or create a Pull Request that you can validate
This is pretty handy, especially for linter errors related to formatting (in that case, you don't have any manual update to perform)
Run locally
MegaLinter can be run locally thanks to mega-linter-runner
Reports
Capabilities
- Accuracy: Count the total number of errors and not only the number of files in error
- Show linter version and applied filters for each linter processed
- Reports stored as artefacts on GitHub Action run or other remote files
- General log
- One report file by linter
Additional Reporters
Enhanced Configuration
- Assisted installation and configuration using a yeoman generator and JSON schemas for configuration file
- Configure include and exclude regexes for a single language or linter: ex:
JAVASCRIPT_FILTER_REGEX_INCLUDE (src)
- Configure additional CLI arguments for a linter: ex:
JAVASCRIPT_ES_ARGUMENTS "--debug --env-info"
- Configure non blocking errors for a single language or linter: ex:
JAVASCRIPT_DISABLE_ERRORS
- Simplify languages and linters variables
- ENABLE = list of languages and formats to apply lint on codebase (default: all)
- ENABLE_LINTERS = list of linters to apply lint on codebase (default: all)
- DISABLE = list of languages and formats to skip (default: none)
- DISABLE_LINTERS = list of linters to skip (default: none)
- Variables VALIDATE_XXX are still taken in account (but should not be used in association with ENABLE and DISABLE variables)
Enhanced Documentation
- One page per linter documentation :
- All variables that can be used with this linter
- List of file extensions, names and filters applied by the linter
- Link to MegaLinter default linter configuration
- Link to linter Web-Site
- Link to official page explaining how to customize the linter rules
- Link to official page explaining how to disable rules from source comments
- Examples of linter command line calls behind the hood
- Help command text
- Installation commands
- Installation links for related IDEs
- README
- Separate languages, formats and tooling formats in the linters table
- Add logos for each descriptor
Plugins management
For linters less commonly used, MegaLinters offers a plugins architecture so anyone can publish plugins
Simplify architecture and evolutive maintenance
- Refactoring runtime in Python, for easier handling than bash thanks to classes and python modules
- Everything related to each linter in a single descriptor YML file
- easier evolutive maintenance
- less conflicts to manage between PRs.
- Few special cases require a python linter class)
- Default behaviours for all linters, with possibility to override part of them for special cases
- Hierarchical architecture: Apply fixes and new behaviours to all linters with a single code update
- Documentation as code
- Generate linters tables (ordered by type: language, format & tooling format) and include it in README. (see result)
- Generate one markdown file per Linter, containing all configuration variables, infos and examples (See examples)
- Automatic generation of Dockerfile using YML descriptors, always using the linter latest version
- Dockerfile commands (FROM, ARG, ENV, COPY, RUN )
- APK packages (linux)
- NPM packages (node)
- PIP packages (python)
- GEM packages (ruby)
- Phive packages (PHP)
- Have a centralized exclude list (node_modules,.rbenv, etcâ¦)
Improve robustness & stability
- Test classes for each capability
- Test classes for each linter: Automatic generation of test classes using .automation/build.py
- Setup code coverage
- Development CD / CI
- Validate multi-status on PR inside each PR (posted from step "Run against all code base")
- Run test classes and code coverage with pytest during validation GitHub Action
- Validate descriptor YML files with json schema during build
- Automated job to upgrade linters to their latest stable version
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