What is best-of-algorithmic-trading?

placenl2026/best-of-algorithmic-trading — explained in plain English

Analysis updated 2026-05-18

★ 204TypeScriptAudience · developerComplexity · 1/5Setup · easy

Mindmap

mindmap
  root((repo))
    What it does
      Curates trading tool projects
      Ranks by activity score
      Groups into 7 categories
    Tech stack
      Awesome list format
      Automated scoring
    Use cases
      Discover trading bots
      Compare exchange libraries
      Find backtesting tools
    Audience
      Traders learning to code
      Developers building bots
    Categories
      Bots and frameworks
      Books and courses
      Communities

mindmap root((repo)) What it does Curates trading tool projects Ranks by activity score Groups into 7 categories Tech stack Awesome list format Automated scoring Use cases Discover trading bots Compare exchange libraries Find backtesting tools Audience Traders learning to code Developers building bots Categories Bots and frameworks Books and courses Communities

What do people build with it?

USE CASE 1

Browse ranked, actively maintained trading bots and frameworks before starting a project.

USE CASE 2

Find libraries and APIs for connecting to cryptocurrency or stock exchanges.

USE CASE 3

Locate technical analysis and backtesting tools for testing a trading strategy.

USE CASE 4

Discover books, courses, and communities for learning algorithmic trading.

What is it built with?

MarkdownTypeScript

How does it compare?

	placenl2026/best-of-algorithmic-trading	dexhorthy/shannon	erezshahaf/lore
Stars	204	204	208
Language	TypeScript	TypeScript	TypeScript
Setup difficulty	easy	moderate	moderate
Complexity	1/5	3/5	3/5
Audience	developer	developer	general

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min

So what is it?

This is a curated directory of open-source algorithmic trading tools, ranked by an automated quality score based on GitHub activity and other public signals. Algorithmic trading means using software to execute trades automatically according to predefined rules or strategies, rather than clicking buy and sell manually. The list covers 109 projects across 7 categories: trading bots and frameworks, libraries and APIs for connecting to exchanges, technical analysis and indicator tools, books, YouTube channels, courses, and communities. Each entry shows the project's star count, language, license, and activity status so you can quickly spot which projects are actively maintained versus abandoned. You would use this as a starting point when researching open-source trading tools. For example, if you want to build a crypto trading bot, you could browse the bots and frameworks category to compare well-known options side by side. If you want to backtest a strategy against historical data, the backtesting tools section is there. The list covers projects written in Python, JavaScript, TypeScript, Rust, Go, Java, C++, and other languages. It is updated on a regular schedule and accepts contributions via pull requests if you want to suggest a project that belongs on it.

Copy-paste prompts

Prompt 1

Recommend a few actively maintained trading bot frameworks from this list for a beginner.

Prompt 2

Explain the difference between the trading bots category and the libraries and APIs category on this list.

Prompt 3

Which backtesting tools on this list would work well for testing a crypto trading strategy?

Prompt 4

How is the quality score for each project on this list calculated?

Prompt 5

Suggest a learning path using this list's books, courses, and community resources for algorithmic trading.

Frequently asked questions