JoltTools

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.

Works with Python Clear all

14 results in this catalog5,996 indexed · Updated

Showing 1–14

Archived excluded · Forks excluded

  1. langchain-ai / langchain

    148,266

    Framework

    The agent engineering platform.

    AI / Agents

    Written in PythonWorks with Python

    License: MITPushed
    GitHubWebsite

  2. pytorch / pytorch

    104,978

    Library

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

    AI / Agents

    Written in PythonWorks with Python

    License: Unrecognized: OtherPushed
    GitHubWebsite

  3. django / django

    91,512

    Framework

    The Web framework for perfectionists with deadlines.

    Backend / Web

    Written in PythonWorks with Python

    License: BSD-3-ClausePushed
    GitHubWebsite

  4. pallets / flask

    74,964

    Framework

    The Python micro framework for building web applications.

    Backend / Web

    Written in PythonWorks with Python

    License: BSD-3-ClausePushed
    GitHubWebsite

  5. scikit-learn / scikit-learn

    67,859

    Library

    scikit-learn: machine learning in Python

    AI / AgentsData Processing / Analytics

    Written in PythonWorks with Python

    License: BSD-3-ClausePushed
    GitHubWebsite

  6. psf / requests

    54,563

    Library

    A simple, yet elegant, HTTP library.

    Written in PythonWorks with Python

    License: Apache-2.0Pushed
    GitHubWebsite

  7. pandas-dev / pandas

    50,233

    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

    License: BSD-3-ClausePushed
    GitHubWebsite

  8. pola-rs / polars

    40,153

    Library

    Extremely fast Query Engine for DataFrames, written in Rust

    Data Processing / Analytics

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

    License: MITPushed
    GitHubWebsite

  9. numpy / numpy

    33,089

    Library

    The fundamental package for scientific computing with Python.

    Data Processing / Analytics

    Written in PythonWorks with Python

    License: Unrecognized: OtherPushed
    GitHubWebsite

  10. cocoindex-io / cocoindex

    11,738

    Framework

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

    AI / AgentsData Processing / Analytics

    Written in RustWorks with Python

    License: Apache-2.0Pushed
    GitHubWebsite

  11. apache / datafusion

    9,509

    Library

    Apache DataFusion SQL Query Engine

    Data Processing / AnalyticsDatabases / Storage

    Written in RustWorks with Rust, Python

    License: Apache-2.0Pushed
    GitHubWebsite

  12. EricLBuehler / mistral.rs

    7,762

    Library

    Fast, flexible LLM inference

    AI / Agents

    Written in RustWorks with Rust, Python

    License: MITPushed
    GitHub

  13. lance-format / lance

    7,196

    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

    License: Apache-2.0Pushed
    GitHubWebsite

  14. Eventual-Inc / Daft

    5,808

    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

    License: Apache-2.0Pushed
    GitHubWebsite
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.