Open source repos that use myst-parser

11 public repos that SeeRepo read use myst-parser. It's used most with furo, docutils, and jinja2.

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Used most with

  • furo3 repos
  • jinja23 repos
  • Pydantic2 repos
  • lxml1 repo
myst-parser11 repos
  • docutils3 repos
  • markdown-it-py2 repos
  • Flask1 repo
  • msgspec1 repo

The repos, by stars

  1. 1
    ray-project/ray

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

    Python+33544.3kAI 3.7%
  2. 2
    searxng/searxng

    SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor profiled.

    Python+739.3k
  3. 3
    Lightning-AI/pytorch-lightning

    Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

    Python+431.4kAI 0.1%
  4. 4
    OpenBMB/MiniCPM-V

    See, hear, and interact on your local devices.

    Python+5227.1kAI 1.1%
  5. 5
    a2ui-project/a2ui

    Open-source generative UI framework: agents stream layout data, and apps render it with native components in React, Angular, Lit, Flutter, SwiftUI and Jetpack Compose.

    TypeScript+2717kAI 1.9%
  6. 6
    aio-libs/aiohttp

    Asynchronous HTTP client/server framework for asyncio and Python

    Python+1416.6k
  7. 7
    modelscope/ms-swift

    Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.8, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM5.3, Gemma4, Llava, Phi4, ...) (AAAI 2025).

    Python+2516.1kAI 0.3%
  8. 8
    microsoft/RD-Agent

    Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report

    Python+5015.3kAI 0.7%
  9. 9
    sympy/sympy

    A computer algebra system written in pure Python

    Python+215.1kAI 0.2%
  10. 10
    Arize-ai/phoenix

    AI Observability & Evaluation

    TypeScript+6312.2kAI 5.4%
  11. 11
    fivetran/great_expectations

    Always know what to expect from your data.

    Python+4111.9kAI 0.3%

Frequently asked questions

What is the most popular open source repo that uses myst-parser?
ray-project/ray, with 44,251 stars on GitHub.

The proof: ray-project/ray on GitHub

What other technologies is myst-parser used with?
With furo (3), docutils (3), jinja2 (3), markdown-it-py (2), and Pydantic (2), out of the 11 repos that use it.
What languages are the repos that use myst-parser written in?
Python (9) and TypeScript (2).
How many repos that use myst-parser have commits signed by AI?
9 of the 11; the most, Arize-ai/phoenix, with 5.4% of its commits.

The proof: the commits each tool signed in Arize-ai/phoenix

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