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AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
A natural language interface for computers
Streamlit — A faster way to build and share data apps.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Certbot is EFF's tool to obtain certs from Let's Encrypt and (optionally) auto-enable HTTPS on your server. It can also act as a client for any other CA that uses the ACME protocol.
💫 Industrial-strength Natural Language Processing (NLP) in Python
Investment Research for Everyone, Everywhere.
Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
Data Apps & Dashboards for Python. No JavaScript Required.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS
Zipline, a Pythonic Algorithmic Trading Library
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
The interactive graphing library for Python ✨ This project now includes Plotly Express!
Universal Command Line Interface for Amazon Web Services
Jupyter metapackage for installation, docs and chat
Powerline is a statusline plugin for vim, and provides statuslines and prompts for several other applications, including zsh, bash, tmux, IPython, Awesome and Qtile.
Python Backtesting library for trading strategies
Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.47% of bugs in the SWE-bench evaluation set and takes just 1 minute to run.
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals