Streamlit — A faster way to build and share data apps.
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The self-driving agent platform
- developer-tools
- python
- agents
- ai
The first real AI developer
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
- notebooks
- python
- data-science
- machine-learning
SWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]
Turns Data and AI algorithms into production-ready web applications in no time.
Replace 'hub' with 'ingest' in any GitHub URL to get a prompt-friendly extract of a codebase
- ai
- code
- ingestion
- developer-tool
🦉 Data Versioning and ML Experiments
- data-science
- machine-learning
- reproducibility
- data-version-control
Codebase intelligence for AI and humans: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.
- ai
- code-intelligence
- dead-code
- developer-tools
Experience-Driven Black-Box Cost Control for Coding Agents
- agentic-ai
- agentic-coding
- ai-coding
- ai-coding-assistant
let your agent control your phone
README file generator, powered by AI.
- readme-generator
- readme
- readme-md-generator
- ai
No-code in the front, Python in the back. An open-source framework for creating data apps.
- data-apps
- data-visualization
- python
- websockets
The foundation layer for agentic intelligence.
A git hook that won't let you push code you can't explain. Quizzes you on your own diff. Works with Claude Code, Codex, Cursor.
Transform Git history: rewrite, clean, and optimize your repositories with ease.
- automation
- cli
- git
- python
Turn any Java, Kotlin or Python project into an AI-ready context file in one command.