Source: https://seerepo.com/compare/arc53/DocsGPT/vs/hydra-ecosystem/hydra
Markdown source: https://seerepo.com/compare/arc53/DocsGPT/vs/hydra-ecosystem/hydra.md
Description: DocsGPT and hydra share 4 technologies: AIOHTTP, torch, colorlog, and boto3. Both are written in Python.

# DocsGPT vs hydra

DocsGPT and hydra share 4 technologies: AIOHTTP, torch, colorlog, and boto3. Both are written in Python.

- [arc53/DocsGPT](https://seerepo.com/r/arc53/DocsGPT): Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
- [hydra-ecosystem/hydra](https://seerepo.com/r/hydra-ecosystem/hydra): Hydra is a framework for elegantly configuring complex applications

## What they share and what sets them apart

- In common: AIOHTTP, torch, colorlog, boto3
- Only in DocsGPT: Flask, flask-restx, amqp, Milvus, obstore, pgvector, psycopg, psycopg-binary, psycopg-pool, pyarrow, pymilvus, s3transfer, Redis, Celery, Postgres, kombu, Hugging Face, OpenAI, Google, Anthropic, ElevenLabs, Qdrant, asgiref, anyio, starlette, werkzeug, fastmcp, uvicorn, a2wsgi, React, Vite, react-router-dom, soupsieve, matplotlib, prompt-toolkit, Rich, SQLAlchemy, alembic, authlib, google-auth, google-auth-httplib2, itsdangerous, joserfc, oauthlib, requests-oauthlib, pyjwt, cryptography, google-auth-oauthlib, msal, accelerate, faiss-cpu, rapidocr, safetensors, torchvision, transformers, fastembed, gtts, MCP, onnxruntime, tiktoken, tokenizers, docling-slim, et-xmlfile, filetype, firecrawl-anydoc, latex2mathml, lxml, mako, markdown-it-py, markupsafe, mdurl, olefile, pdfminer.six, pylatexenc, uharfbuzz, xlsxwriter, pypdfium2, pillow, beautifulsoup4, markdownify, defusedxml, docling, pypdf, docx2txt, imageio, jinja2, openpyxl, pdf2image, pdfplumber, pytesseract, python-docx, python-pptx, reportlab, annotated-types, beartype, cel-python, docling-core, email-validator, jsonschema-path, jsonschema-specifications, marshmallow, pydantic-core, referencing, Pydantic, jsonschema, loguru, opentelemetry-api, opentelemetry-exporter-otlp-proto-grpc, opentelemetry-instrumentation, opentelemetry-instrumentation-aiohttp-client, opentelemetry-instrumentation-asgi, opentelemetry-instrumentation-celery, opentelemetry-instrumentation-flask, opentelemetry-instrumentation-logging, opentelemetry-instrumentation-psycopg, opentelemetry-instrumentation-redis, opentelemetry-instrumentation-requests, opentelemetry-instrumentation-sqlalchemy, opentelemetry-semantic-conventions, opentelemetry-util-http, psutil, botocore, Gunicorn, OpenTelemetry, daytona, styled-components, dompurify, markdown-it, prismjs, Tailwind CSS, class-variance-authority, tailwind-merge, Radix UI, reactflow, react-dropzone, Chart.js, Mermaid, react-chartjs-2, react-syntax-highlighter, @shadcn/react, cmdk, D3, react-day-picker, react-force-graph-2d, Lucide, react-markdown, unified, remark-gfm, micromark-util-character, micromark-util-types, micromark-util-symbol, unist-util-visit, rehype-katex, remark-math, remark-parse, remend
- Only in hydra: rq, Ray, ax-platform, nevergrad, Optuna, submitit

## Side by side

| | DocsGPT | hydra |
|---|---|---|
| Size | 812,848 lines written, 1,275 code files | 71,178 lines written, 121 code files |
| Who writes it | 0.3% of its commits signed by AI. With Claude Code, GitHub Copilot, Codex, and Cursor | 0.4% of its commits signed by AI. With GitHub Copilot, Claude Code, and Cursor |
| Activity | Last push November 6, 2026, 5,882 commits, 18,360 stars | Last push November 12, 2026, 2,248 commits, 10,744 stars |
| Tests | 1,391 test files. 77.3% of its code files have a test that imports them | 250 test files. 60.3% of its code files have a test that imports them |

- Size: Lines written by people and agents, without generated ones; code files, without tests.
- Who writes it: A commit counts as AI's when it carries its signature: a Co-Authored-By line, its author name or the merge of its branch.
- Activity: From GitHub and its history, on the day SeeRepo read it.
- Tests: The files that test the code, and the share of code files a test imports.

## Frequently asked questions

### Which is bigger, DocsGPT or hydra?

DocsGPT, with 812,848 lines written; hydra has 71,178.

The proof: [arc53/DocsGPT's code at commit dcf08f1](https://github.com/arc53/DocsGPT/tree/dcf08f1b5a474b00d5981e00d1edb33529559571)

### Which has more GitHub stars, DocsGPT or hydra?

DocsGPT, with 18,360 stars; hydra has 10,744.

The proof: [arc53/DocsGPT on GitHub](https://github.com/arc53/DocsGPT)

### Which has more tests, DocsGPT or hydra?

DocsGPT, with 1,391 test files; hydra has 250.

The proof: [arc53/DocsGPT's code at commit dcf08f1](https://github.com/arc53/DocsGPT/tree/dcf08f1b5a474b00d5981e00d1edb33529559571)

### Which was updated more recently, DocsGPT or hydra?

hydra: its last push was on November 12, 2026, and DocsGPT's on November 6, 2026.

The proof: [hydra-ecosystem/hydra's commits on GitHub](https://github.com/hydra-ecosystem/hydra/commits)

### Which has more commits signed by AI, DocsGPT or hydra?

hydra: an AI signed 0.4% of its commits, with GitHub Copilot, Claude Code, and Cursor; in DocsGPT, 0.3%.

## Sources

- arc53/DocsGPT: Read on November 6, 2026, at commit dcf08f1 (https://github.com/arc53/DocsGPT/tree/dcf08f1b5a474b00d5981e00d1edb33529559571)
- hydra-ecosystem/hydra: Read on November 13, 2026, at commit fdd1cbb (https://github.com/hydra-ecosystem/hydra/tree/fdd1cbb80369222e9e132f107456a9c8af1842cb)

## What is your repo built with?

Any public repo, with no account: https://seerepo.com/r/owner/repo/built, with the owner and name it has on GitHub.