Open Source

Discover libraries, frameworks, and developer tools.

A subset of GitHub. What’s indexed

More filters Works with, stars, license & activity

Works with filters verified APIs and bindings. Coverage is partial; unlisted support is unverified.

24 results in this catalog5,996 indexed · Updated

Showing 1–24

Archived excluded · Forks excluded

  1. Library

    scikit-learn: machine learning in Python

    AI / AgentsData Processing / Analytics

    Written in PythonWorks with Python

  2. Framework

    Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

    Data Processing / Analytics

    Written in Python

  3. Library

    Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 250,000+ scientists worldwide. 177 ready-to-use validated skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.

    Data Processing / Analytics

    Written in Python

  4. Library

    Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

    Data Processing / Analytics

    Written in PythonWorks with Python

  5. Library

    Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

    AI / AgentsData Processing / Analytics

    Written in Python

  6. Library

    Extremely fast Query Engine for DataFrames, written in Rust

    Data Processing / Analytics

    Written in RustWorks with Rust, Python, JavaScript, R, SQL

  7. numpy / numpy

    33,089

    Library

    The fundamental package for scientific computing with Python.

    Data Processing / Analytics

    Written in PythonWorks with Python

  8. d2l-ai / d2l-en

    29,904

    Framework

    Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

    AI / AgentsData Processing / Analytics

    Written in Python

  9. Framework

    Prefect is a workflow orchestration framework for building resilient data pipelines in Python.

    Data Processing / Analytics

    Written in Python

  10. Library

    AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

    Data Processing / Analytics

    Written in Python

  11. Library

    Go language library for reading and writing Microsoft Excel™ (XLAM / XLSM / XLSX / XLTM / XLTX) spreadsheets

    AI / AgentsData Processing / Analytics

    Written in Go

  12. Library

    Open3D: A Modern Library for 3D Data Processing

    AI / AgentsData Processing / AnalyticsDesktop GUI

    Written in C++

  13. Framework

    Incremental engine for long horizon agents 🌟 Star if you like it!

    AI / AgentsData Processing / Analytics

    Written in RustWorks with Python

  14. Library

    Apache DataFusion SQL Query Engine

    Data Processing / AnalyticsDatabases / Storage

    Written in RustWorks with Rust, Python

  15. Library

    Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..

    AI / AgentsData Processing / AnalyticsDatabases / Storage

    Written in RustWorks with Rust, Python

  16. Library

    :books: :chart_with_upwards_trend: Plug-and-play class-library project of standard Data Structures and Algorithms in C#

    Data Processing / Analytics

    Written in C#

  17. Library

    Encoding and decoding images in Rust

    Data Processing / Analytics

    Written in Rust

  18. Library

    High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale

    AI / AgentsData Processing / Analytics

    Written in RustWorks with Python

  19. Library

    ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations

    Data Processing / Analytics

    Written in Rust

  20. Framework

    LakeSoul is an end-to-end, realtime cloud-native Lakehouse framework for fast data ingestion, concurrent updates, incremental analytics, multimodal data processing and vector search — powering next-generation BI and AI workloads.

    Data Processing / AnalyticsDatabases / Storage

    Written in Rust

  21. Library

    Fastest library to load data from DB to DataFrames in Rust and Python

    Data Processing / AnalyticsDatabases / Storage

    Written in Rust

  22. Library

    A visualization library for Rust

    Data Processing / Analytics

    Written in Rust

  23. Library

    This library provides implementations of many algorithms and data structures that are useful for bioinformatics. All provided implementations are rigorously tested via continuous integration.

    Data Processing / Analytics

    Written in Rust

  24. Library

    Fast and efficient unstructured data extraction. Written in Rust with bindings for many languages.

    AI / AgentsData Processing / Analytics

    Written in Rust

About this catalog

“All projects” means all projects in this index, including resources and education. We have not indexed every GitHub repository. Discovery uses public GitHub searches across Rust, Python, JavaScript, TypeScript, Go, Java, C, C++, C#, and other languages, plus category queries. Configured star floors favor established projects; smaller or newer projects may be missing.

Topics and specific description phrases determine categories and project kinds, supplemented by a small override file. Projects can have multiple categories; insufficient evidence stays unclassified or unknown. Libraries & frameworks is the default view; select Resources / education or Everything to find tutorials and curated lists. Clear all restores this default, with archived repositories and forks excluded. UI categories describe products for building interfaces, not every app with a GUI. Labels are discovery aids and may be imperfect.

A public repository is not proof of an open-source license. Licenses are shown as reported by GitHub; missing or unrecognized metadata is stated explicitly. Review the repository’s license before use. Stars measure popularity, not quality.

Results use a local snapshot. Updated is the actual GitHub metadata fetch time, independent of server startup or reclassification. Written in is GitHub’s primary implementation language. Works with covers a small verified set; an unlisted ecosystem is unverified, not unsupported. Works with links on project rows cite official documentation and verification dates; this is separate from the GitHub fetch time. Refreshes run in the background; failed or incomplete refreshes retain the last valid catalog. “Last pushed” uses GitHub’s pushed_at, not metadata update time.

Search matches whole terms across names, descriptions, topics, categories, project type, implementation language, and verified ecosystems. Name prefixes help as you type. Automatic sorting uses Most stars without text and Best match with text; choosing another sort preserves your choice. The legacy category=frontend link now selects Web frontend.