Open Source
Discover libraries, frameworks, and developer tools.
A subset of GitHub. What’s indexed
24 results in this catalog
Showing 1–24
Archived excluded · Forks excluded
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scikit-learn / scikit-learn
67,859Library
scikit-learn: machine learning in Python
AI / AgentsData Processing / AnalyticsWritten in PythonWorks with Python
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pathwaycom / pathway
62,088Framework
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Data Processing / AnalyticsWritten in Python
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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 / AnalyticsWritten in Python
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pandas-dev / pandas
50,233Library
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 / AnalyticsWritten in PythonWorks with Python
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ray-project / ray
44,103Library
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 / AnalyticsWritten in Python
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pola-rs / polars
40,153Library
Extremely fast Query Engine for DataFrames, written in Rust
Data Processing / AnalyticsWritten in RustWorks with Rust, Python, JavaScript, R, SQL
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numpy / numpy
33,089Library
The fundamental package for scientific computing with Python.
Data Processing / AnalyticsWritten in PythonWorks with Python
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d2l-ai / d2l-en
29,904Framework
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 / AnalyticsWritten in Python
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PrefectHQ / prefect
24,061Framework
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Data Processing / AnalyticsWritten in Python
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akfamily / akshare
23,037Library
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 / AnalyticsWritten in Python
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qax-os / excelize
21,013Library
Go language library for reading and writing Microsoft Excel™ (XLAM / XLSM / XLSX / XLTM / XLTX) spreadsheets
AI / AgentsData Processing / AnalyticsWritten in Go
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isl-org / Open3D
14,112Library
Open3D: A Modern Library for 3D Data Processing
AI / AgentsData Processing / AnalyticsDesktop GUIWritten in C++
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cocoindex-io / cocoindex
11,738Framework
Incremental engine for long horizon agents 🌟 Star if you like it!
AI / AgentsData Processing / AnalyticsWritten in RustWorks with Python
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apache / datafusion
9,509Library
Apache DataFusion SQL Query Engine
Data Processing / AnalyticsDatabases / StorageWritten in RustWorks with Rust, Python
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lance-format / lance
7,196Library
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 / StorageWritten in RustWorks with Rust, Python
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Library
:books: :chart_with_upwards_trend: Plug-and-play class-library project of standard Data Structures and Algorithms in C#
Data Processing / AnalyticsWritten in C#
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image-rs / image
5,893Library
Encoding and decoding images in Rust
Data Processing / AnalyticsWritten in Rust
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Eventual-Inc / Daft
5,808Library
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
AI / AgentsData Processing / AnalyticsWritten in RustWorks with Python
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rust-ndarray / ndarray
4,332Library
ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
Data Processing / AnalyticsWritten in Rust
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lakesoul-io / LakeSoul
3,258Framework
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 / StorageWritten in Rust
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sfu-db / connector-x
2,660Library
Fastest library to load data from DB to DataFrames in Rust and Python
Data Processing / AnalyticsDatabases / StorageWritten in Rust
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yuankunzhang / charming
2,603Library
A visualization library for Rust
Data Processing / AnalyticsWritten in Rust
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rust-bio / rust-bio
1,842Library
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 / AnalyticsWritten in Rust
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yobix-ai / extractous
1,784Library
Fast and efficient unstructured data extraction. Written in Rust with bindings for many languages.
AI / AgentsData Processing / AnalyticsWritten 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.