Convert Figma logo to code with AI

aosabook logo500lines

500 Lines or Less

29,431
5,869
29,431
59

Top Related Projects

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

Interactive roadmaps, guides and other educational content to help developers grow in their careers.

📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings

💯 Curated coding interview preparation materials for busy software engineers

A complete computer science study plan to become a software engineer.

:books: Freely available programming books

Quick Overview

The aosabook/500lines repository is a collection of small (500 lines or fewer) implementations of various software systems. It's part of the Architecture of Open Source Applications (AOSA) book series, aiming to provide concise, readable examples of different software architectures and designs.

Pros

  • Offers a diverse range of software implementations across various domains
  • Each project is limited to 500 lines, making them easy to understand and study
  • Provides real-world examples of software architecture and design principles
  • Includes explanations and commentary alongside the code

Cons

  • Some implementations may be oversimplified due to the 500-line constraint
  • Not all projects are maintained or updated regularly
  • The repository itself is not a code library, so it's not directly usable in other projects
  • Some examples may use older versions of languages or libraries

Code Examples

As this is not a code library but a collection of small projects, we'll skip the code examples section.

Getting Started

As this is not a code library, there are no specific getting started instructions. However, to explore the projects:

  1. Clone the repository:

    git clone https://github.com/aosabook/500lines.git
    
  2. Navigate to the project directory of interest:

    cd 500lines/project-name
    
  3. Read the README file (if available) for project-specific instructions.

  4. Explore the source code and accompanying explanations to learn about the implementation and architecture of the chosen project.

Competitor Comparisons

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

Pros of system-design-primer

  • Focuses on system design concepts and scalability, providing a comprehensive guide for software architects and engineers
  • Includes visual aids, diagrams, and real-world examples to illustrate complex concepts
  • Regularly updated with new content and community contributions

Cons of system-design-primer

  • Less hands-on coding experience compared to 500lines, which provides complete project implementations
  • May be overwhelming for beginners due to the breadth of topics covered
  • Lacks the diverse range of programming languages and paradigms showcased in 500lines

Code comparison

While a direct code comparison is not particularly relevant due to the different nature of these repositories, here's a brief example of how they differ in content:

500lines (Python example from the "Crawler" project):

def process_link(self, url):
    crawled = set([])
    tocrawl = set([url])
    while tocrawl:
        url = tocrawl.pop()
        # ... (crawling logic)

system-design-primer (Pseudocode example for designing a web crawler):

while True:
    page = priority_queue.dequeue()
    if page is None:
        break
    if page.crawled is True:
        continue
    # ... (high-level crawling steps)

Interactive roadmaps, guides and other educational content to help developers grow in their careers.

Pros of developer-roadmap

  • Provides a comprehensive visual guide for learning paths in various tech domains
  • Regularly updated to reflect current industry trends and technologies
  • Offers interactive roadmaps with clickable resources for each topic

Cons of developer-roadmap

  • Focuses on breadth rather than depth of knowledge
  • May overwhelm beginners with the sheer amount of information presented
  • Lacks practical, hands-on coding examples

Code comparison

While 500lines provides actual code examples for various projects, developer-roadmap doesn't include code snippets. Instead, it offers visual roadmaps and links to resources. Here's an example of how they differ:

500lines (Python):

def factorial(n):
    if n == 0:
        return 1
    else:
        return n * factorial(n - 1)

developer-roadmap (Markdown):

## Learn a Language

- [ ] JavaScript
- [ ] Python
- [ ] Java
- [ ] Go

The 500lines repository focuses on providing complete, working code examples for various projects, while developer-roadmap offers a structured learning path without actual code implementation.

📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings

Pros of javascript-algorithms

  • Focuses specifically on algorithms and data structures in JavaScript
  • Includes implementations of a wide range of algorithms, from basic to advanced
  • Provides clear explanations and examples for each algorithm

Cons of javascript-algorithms

  • Limited to JavaScript, while 500lines covers multiple programming languages
  • Doesn't explore complete applications or systems like 500lines does
  • May not provide as much insight into real-world software architecture

Code Comparison

500lines (Python):

def parse_args():
    parser = argparse.ArgumentParser()
    parser.add_argument('--port', help='port to listen on', default=8000, type=int)
    return parser.parse_args()

javascript-algorithms (JavaScript):

function binarySearch(array, item) {
  let low = 0;
  let high = array.length - 1;
  while (low <= high) {
    const mid = Math.floor((low + high) / 2);
    if (array[mid] === item) return mid;
    if (array[mid] < item) low = mid + 1;
    else high = mid - 1;
  }
  return -1;
}

The code comparison shows that 500lines tends to focus on application-level code, while javascript-algorithms emphasizes algorithm implementations. 500lines provides a broader context for software development, whereas javascript-algorithms offers deep dives into specific algorithmic concepts.

💯 Curated coding interview preparation materials for busy software engineers

Pros of tech-interview-handbook

  • Focused on practical interview preparation with algorithms, data structures, and system design
  • Regularly updated with new content and community contributions
  • Includes a comprehensive list of interview questions and best practices

Cons of tech-interview-handbook

  • Limited in scope to technical interviews, not covering broader software engineering concepts
  • May not provide in-depth explanations of complex topics
  • Lacks full project implementations or extensive code examples

Code comparison

tech-interview-handbook (JavaScript):

function binarySearch(arr, target) {
  let left = 0;
  let right = arr.length - 1;
  while (left <= right) {
    const mid = Math.floor((left + right) / 2);
    if (arr[mid] === target) return mid;
    if (arr[mid] < target) left = mid + 1;
    else right = mid - 1;
  }
  return -1;
}

500lines (Python):

def quicksort(arr):
    if len(arr) <= 1:
        return arr
    pivot = arr[len(arr) // 2]
    left = [x for x in arr if x < pivot]
    middle = [x for x in arr if x == pivot]
    right = [x for x in arr if x > pivot]
    return quicksort(left) + middle + quicksort(right)

The code examples demonstrate the difference in focus between the two repositories. tech-interview-handbook provides concise implementations of common algorithms, while 500lines offers more complex, project-oriented code samples.

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
  • Structured learning path with clear goals and milestones
  • Extensive collection of resources, including videos, articles, and practice problems

Cons of coding-interview-university

  • Primarily focused on interview preparation rather than practical project implementation
  • May be overwhelming for beginners due to the vast amount of information
  • Less emphasis on hands-on coding experience compared to 500lines

Code Comparison

While 500lines provides complete project implementations, coding-interview-university focuses more on theoretical concepts and algorithmic problems. Here's a brief comparison:

500lines (Python):

def fibonacci(n):
    if n <= 1:
        return n
    return fibonacci(n-1) + fibonacci(n-2)

coding-interview-university (pseudocode):

function fibonacci(n):
    if n <= 1:
        return n
    return fibonacci(n-1) + fibonacci(n-2)

Both repositories may cover similar concepts, but 500lines demonstrates them through full projects, while coding-interview-university focuses on understanding the underlying principles and problem-solving techniques.

:books: Freely available programming books

Pros of free-programming-books

  • Extensive collection of free programming resources across various languages and topics
  • Regularly updated with community contributions
  • Well-organized and categorized for easy navigation

Cons of free-programming-books

  • Lacks original content or explanations
  • Quality of linked resources may vary
  • No hands-on coding examples or projects

Code comparison

Not applicable, as neither repository contains significant code samples. 500lines focuses on complete projects, while free-programming-books is a curated list of external resources.

Additional notes

500lines:

  • Offers in-depth explanations of complete, non-trivial software projects
  • Provides practical examples of software architecture and design
  • Limited to 500 lines of code per project, demonstrating concise solutions

free-programming-books:

  • Serves as a comprehensive directory of free programming learning materials
  • Covers a wider range of topics and programming languages
  • Relies on external resources rather than providing original content

Both repositories serve different purposes: 500lines is ideal for intermediate to advanced programmers looking to study real-world projects, while free-programming-books is better suited for beginners and those seeking a variety of learning resources across different programming topics.

Convert Figma logo designs to code with AI

Visual Copilot

Introducing Visual Copilot: A new AI model to turn Figma designs to high quality code using your components.

Try Visual Copilot

README

500 Lines or Less

"What I cannot create, I do not understand."

-- Richard Feynman

This is the source for the book 500 Lines or Less, the fourth in the Architecture of Open Source Applications series. As with other books in the series, all written material will be covered by the Creative Commons - Attribution license, and all code by the MIT License: please see the license description for details. In addition, all royalties from paid-for versions will all go to Amnesty International.

The production of this book has been made possible by the financial support of PagerDuty.

PagerDuty Logo

Mission

Every architect studies family homes, apartments, schools, and other common types of buildings during her training. Equally, every programmer ought to know how a compiler turns text into instructions, how a spreadsheet updates cells, and how a database efficiently persists data.

Previous books in the AOSA series have done this by describing the high-level architecture of several mature open-source projects. While the lessons learned from those stories are valuable, they are sometimes difficult to absorb for programmers who have not yet had to build anything at that scale.

"500 Lines or Less" focuses on the design decisions and tradeoffs that experienced programmers make when they are writing code:

  • Why divide the application into these particular modules with these particular interfaces?
  • Why use inheritance here and composition there?
  • How do we predict where our program might need to be extended, and how can we make that easy for other programmers?

Each chapter consists of a walkthrough of a program that solves a canonical problem in software engineering in at most 500 source lines of code. We hope that the material in this book will help readers understand the varied approaches that engineers take when solving problems in different domains, and will serve as a basis for projects that extend or modify the contributions here.

Contributors

Name Affiliation Project Online GitHub
Mike DiBernardo Wave editorial MichaelDiBernardo
Amy Brown indie editorial amyrbrown
Allison Kaptur Dropbox byterun akaptur
Audrey Tang g0v.tw, Socialtext, Apple spreadsheet audreyt
Brandon Rhodes Dropbox contingent brandon-rhodes
Carl Friedrich Bolz King's College London object model cfbolz
Cate Huston   Image Filter app catehstn
Christian Muise University of Melbourne flow-shop haz
Daniel Jackson   same-origin-policy    
Daniel Rocco BrightLink Technology contingent drocco007
Dann Toliver Bento Box dagoba dxnn
Dessy Daskalov Nudge Rewards Pedometer dessy
Dethe Elza   blockcode   dethe
Dustin Mitchell Mozilla cluster   djmitche
Erick Dransch   Modeller EkkiD
Eunsuk Kang   same-origin-policy    
Greg Wilson   web-server gvwilson
Guido van Rossum Dropbox crawler gvanrossum
A. Jesse Jiryu Davis MongoDB crawler ajdavis
Jessica Hamrick University of California, Berkeley sampler jhamrick
Leah Hanson Google static analysis astrieanna
Leo Zovic   event-web-framework    
Malini Das Twitch ci malini
Marina Samuel Mozilla ocr emtwo
Ned Batchelder edX templating engine nedbat
Santiago Perez De Rosso   same-origin-policy    
Taavi Burns Previously at Points, now at PagerDuty data-store taavi
Yoav Rubin Microsoft In-memory functional database yoavrubin

Technical Reviewers

Amber Yust Andrew Gwozdziewycz Andrew Kuchling
Andrew Svetlov Andy Shen Anton Beloglazov
Ben Trofatter Borys Pierov Carise Fernandez
Charles Stanhope Chris Atlee Chris Seaton
Cyryl Płotnicki-Chudyk Dan Langer Dan Shapiro
David Pokorny Eric Bouwers Frederic De Groef
Graham Lee Gregory Eric Sanderson James O'Beirne
Jan de Baat Jana Beck Jessica McKellar
Jo Van Eyck Joel Crocker Johan Thelin
Johannes Fürmann John Morrissey Joseph Kaptur
Josh Crompton Joshua T. Corbin Kevin Huang
Maggie Zhou Marc Towler Marcin Milewski
Marco Lancini Mark Reid Matthias Bussonnier
Max Mautner Meggin Kearney Mike Aquino
Natalie Black Nick Presta Nikhil Almeida
Nolan Prescott Paul Martin Piotr Banaszkiewicz
Preston Holmes Pulkit Sethi Rail Aliiev
Ronen Narkis Rose Ames Sina Jahan
Stefan Turalski William Lachance