What is RD-Agent built with?

RD-Agent is a Python repo built with Flask, werkzeug, flask-cors, Streamlit, Vite, and 2 more. It uses AI through accelerate, datasets, gym, peft, pydantic-ai-slim, and 13 more, makes its content with beautifulsoup4, myst-parser, pypdf, nbformat, pymupdf, and 6 more, validates its data with genson and Pydantic, is tested with Pytest, Selenium, and webdriver-manager, deploys with docker, loguru, and Prefect, and uses pyarrow, tables, Hugging Face, and Kaggle. It has 83,518 written lines, with 41 test files.

Read on November 8, 2026, at commit 484776c. Read it as markdown

Frontend

Styles 3

  • github-markdown-css1 file
  • furo
  • sphinx-rtd-theme

Interface 6

The base 3

Backend

The base 2

Data 2

AI 17

5 more

Services 3

Support

The base 2

Content 11

Validation 2

Testing 3

  • Pytest12 files
  • Selenium1 file
  • webdriver-manager1 file

Deploy 3

Tools 24

  • Typer7 files
  • tree-sitter1 file
  • tree-sitter-python1 file
  • Black
  • build
  • coverage
  • isort
  • Ruff
  • Setuptools
  • Sphinx
  • tensorboard
  • fire13 files
12 more
  • setuptools-scm1 file
  • autodoc-pydantic
  • mypy
  • sphinx-autobuild
  • sphinx-click
  • sphinx-togglebutton
  • twine
  • types-psutil
  • types-pytz
  • types-pyyaml
  • types-tqdm
  • wheel

Other 22

  • pandas223 files
  • NumPy56 files
  • pydantic-settings15 files
  • tqdm8 files
  • pyyaml7 files
  • filelock4 files
  • Axios1 file
  • fuzzywuzzy1 file
  • jQuery1 file
  • networkx1 file
  • snowballstemmer
  • requests8 files
10 more
  • python-dotenv2 files
  • randomname2 files
  • crypto-js1 file
  • humanize1 file
  • jszip1 file
  • nest-asyncio1 file
  • duckduckgo-search
  • gdown
  • python-levenshtein
  • thefuzz

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Frequently asked questions

What language is RD-Agent written in?
RD-Agent is written in Python, with 83,518 written lines.
What framework does RD-Agent use?
RD-Agent is built with Flask, werkzeug, flask-cors, Streamlit, Vite, Vue, and vue-router.
Does RD-Agent use AI?
Yes. RD-Agent uses AI through accelerate, datasets, gym, peft, pydantic-ai-slim, pyserini, rank-bm25, spaCy, trl, vLLM, scikit-learn, litellm, torch, MLflow, tiktoken, LangChain, transformers, and OpenAI.
What services does RD-Agent use?
RD-Agent uses pyarrow, tables, Hugging Face, and Kaggle.
Does RD-Agent have tests?
Yes. RD-Agent has 41 test files and is tested with Pytest, Selenium, and webdriver-manager.
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