python

A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files

The fastest and the most accurate file search SDK for AI agents, Neovim, Rust, C, Python, Bun and NodeJS

🍦 Never use print() to debug again.

A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription.

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

使用小爱音箱播放音乐，音乐使用 yt-dlp 下载。

OneForAll是一款功能强大的子域收集工具

Perform data science on data that remains in someone else's server

Cool open source projects. Choose your project and get involved in Open Source development now.

Best Practices, code samples, and documentation for Computer Vision.

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

A python library for user-friendly forecasting and anomaly detection on time series.

AutoML library for deep learning

BullMQ - Message Queue and Batch processing for NodeJS, Python, .NET, Elixir, Rust and PHP based on Redis or PostgreSQL

A polyglot document intelligence framework with a Rust core. Extract text, metadata, images, and structured data from 101 formats (115 file extensions) plus code intelligence for 371 code languages. 15 language bindings — Rust, Python, Ruby, Java, Go, PHP, Elixir, C#, TypeScript — plus CLI, REST API, and MCP server.

Apache DataFusion SQL Query Engine

Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device.

ModelScope: bring the notion of Model-as-a-Service to life.

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Deep universal probabilistic programming with Python and PyTorch