Top Related Projects
A curated list of awesome C++ frameworks, libraries and software.
A collection of resources on modern C++
A curated list of awesome C frameworks, libraries, resources and other shiny things. Inspired by all the other awesome-... projects out there.
An opinionated list of awesome Python frameworks, libraries, software and resources.
A complete computer science study plan to become a software engineer.
Quick Overview
MattPD/cpplinks is a comprehensive GitHub repository that serves as a curated collection of C++ resources, links, and references. It covers a wide range of C++ topics, including language features, tools, libraries, and best practices, making it an invaluable resource for C++ developers of all skill levels.
Pros
- Extensive coverage of C++ topics, from basic concepts to advanced techniques
- Regularly updated with new resources and information
- Well-organized structure, making it easy to find specific topics
- Includes links to high-quality articles, tutorials, and documentation
Cons
- Can be overwhelming due to the sheer amount of information
- Some links may become outdated over time
- Lacks interactive elements or code examples
- May require additional research to fully understand some topics
Code Examples
This repository does not contain code examples as it is primarily a collection of links and resources rather than a code library.
Getting Started
As this is not a code library, there are no specific getting started instructions. However, users can begin by visiting the repository at https://github.com/MattPD/cpplinks and exploring the various sections based on their interests or needs. The README file provides an overview of the available topics and can be used as a starting point for navigation.
Competitor Comparisons
A curated list of awesome C++ frameworks, libraries and software.
Pros of awesome-cpp
- More organized structure with clear categories and subcategories
- Larger collection of resources, covering a wider range of C++ topics
- Regularly updated with new contributions from the community
Cons of awesome-cpp
- Less detailed descriptions for each resource
- Fewer links to in-depth articles and papers on specific C++ topics
- May include some outdated or less maintained projects due to its larger scope
Code comparison
While both repositories primarily consist of curated lists rather than code, awesome-cpp includes some code snippets in its descriptions. For example:
// awesome-cpp example
std::vector<int> v = {1, 2, 3, 4, 5};
auto result = std::accumulate(v.begin(), v.end(), 0);
cpplinks doesn't typically include code snippets, focusing more on linking to external resources.
Summary
awesome-cpp offers a more comprehensive and structured list of C++ resources, making it easier for users to find tools and libraries for specific purposes. cpplinks, while smaller in scope, provides more detailed information and links to in-depth articles, making it valuable for those seeking deeper understanding of C++ concepts and best practices. Both repositories serve as excellent resources for C++ developers, with their own strengths and focus areas.
A collection of resources on modern C++
Pros of awesome-modern-cpp
- More focused on modern C++ features and best practices
- Curated list with concise descriptions for each resource
- Easier to navigate due to its compact structure
Cons of awesome-modern-cpp
- Less comprehensive coverage of C++ topics compared to cpplinks
- Fewer categories and subcategories for organizing resources
- Limited inclusion of tools, libraries, and community resources
Code Comparison
While both repositories primarily contain links and don't include much code, here's a comparison of their README structures:
awesome-modern-cpp:
# Awesome Modern C++
A collection of resources on modern C++.
## Contents
- [C++ Concepts](#concepts)
- [C++ Guideline Support Library](#gsl)
cpplinks:
# C++ Links
A categorized list of C++ resources.
## Contents
- [Communities](#communities)
- [References](#references)
- [Language](#language)
- [Standards](#standards)
Both repositories serve as valuable resources for C++ developers, with cpplinks offering a more extensive collection of links across various C++ topics, while awesome-modern-cpp provides a more focused list of resources specifically for modern C++ practices and features.
A curated list of awesome C frameworks, libraries, resources and other shiny things. Inspired by all the other awesome-... projects out there.
Pros of awesome-c
- More focused on C programming specifically, making it easier to find C-related resources
- Includes a section on "Learning, Reference and Tutorials" which is helpful for beginners
- Has a dedicated "Benchmarks" section for performance-oriented developers
Cons of awesome-c
- Less comprehensive overall compared to cpplinks, which covers a broader range of C++ topics
- Lacks detailed categorization for some topics, making it potentially harder to find specific information
- Does not include as many academic or research-oriented resources
Code Comparison
While both repositories primarily contain lists of resources rather than code, here's a brief comparison of their README structures:
awesome-c:
# awesome-c
A curated list of C good stuff. This list contains *only* [free software](https://en.wikipedia.org/wiki/Free_software) for code, and sellers who aren't evil for physical resources.
cpplinks:
# C++ Links
A categorized list of C++ resources.
## Contents
* [Standard C++](#standard-c)
Both repositories serve as curated lists of resources, but cpplinks has a more structured table of contents and focuses on C++ rather than C.
An opinionated list of awesome Python frameworks, libraries, software and resources.
Pros of awesome-python
- More comprehensive coverage of Python ecosystem, including frameworks, libraries, and tools
- Better organized with clear categorization and subcategories
- Higher community engagement with more stars, forks, and contributors
Cons of awesome-python
- Less frequently updated compared to cpplinks
- Lacks detailed explanations or descriptions for each resource
- May include outdated or less relevant resources due to its large scope
Code Comparison
While both repositories primarily consist of curated lists rather than code, here's a comparison of their README structures:
awesome-python:
## Contents
- [Admin Panels](#admin-panels)
- [Algorithms and Design Patterns](#algorithms-and-design-patterns)
- [ASGI Servers](#asgi-servers)
cpplinks:
# C++ Links
## Contents
- [Standard C++](#standard-c)
- [C++ Compilers](#c-compilers)
- [C++ Software](#c-software)
Both use similar Markdown structures, but awesome-python tends to have more nested subcategories within each main section.
A complete computer science study plan to become a software engineer.
Pros of coding-interview-university
- Comprehensive curriculum covering a wide range of computer science topics
- Well-structured learning path with clear progression
- Includes study tips and advice for interview preparation
Cons of coding-interview-university
- Primarily focused on interview preparation rather than in-depth C++ knowledge
- May not cover the latest C++ standards and features in detail
- Less emphasis on advanced C++ topics and best practices
Code comparison
While cpplinks is a collection of resources rather than a code repository, coding-interview-university includes some code examples. Here's a sample from coding-interview-university:
class Node:
def __init__(self, data):
self.data = data
self.next = None
class LinkedList:
def __init__(self):
self.head = None
Additional notes
- cpplinks is specifically focused on C++ resources, while coding-interview-university covers a broader range of programming topics
- cpplinks provides links to external resources, whereas coding-interview-university offers a self-contained study plan
- coding-interview-university is more suitable for beginners and those preparing for interviews, while cpplinks caters to developers seeking in-depth C++ knowledge
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C++ links
A categorized list of C++ resources.
Categories
- Analysis - program analysis
- Dynamic analysis - instrumentation, translation, sanitizers
- Static analysis - static analysis (static checkers and compilers) and verification
- Assembly
- Atomics, lock free, memory model
- Building - building, build systems, and build performance optimization
- Communities
- Compilers
- Computer architecture
- Debugging - readings (articles, documentation - implementation & use), software (GDB, LLDB, RR, WinDbg; stack trace & unwinding), talks
- Debugging - tracing: readings; software; talks
- Error handling
- Executables - executable & object file formats (DLL, ELF, Mach-O, PE); debugging data formats (DWARF, PDB)
- Linking and Loading - linkers, loaders, libraries
- Interoperability
- FFI - foreign function interfaces (FFIs)
- portability - general (libraries), ABI, name mangling
- Learning and teaching
- Performance tools
- Standard & standardization
- Testing
About
Being a part of a few C++ communities, I happen to run across some interesting links -- this is an attempt to categorize them. Thanks to Saurabh Malpani from "C++ Enthusiasts" for the suggestion.
An ongoing, work-in-progress effort -- comments, feedback, and suggestions welcome!
Hopefully some will find this of some use and interest, too :-)
Top Related Projects
A curated list of awesome C++ frameworks, libraries and software.
A collection of resources on modern C++
A curated list of awesome C frameworks, libraries, resources and other shiny things. Inspired by all the other awesome-... projects out there.
An opinionated list of awesome Python frameworks, libraries, software and resources.
A complete computer science study plan to become a software engineer.
Convert designs to code with AI
Introducing Visual Copilot: A new AI model to turn Figma designs to high quality code using your components.
Try Visual Copilot