Source: https://seerepo.com/compare/apache/superset/vs/arc53/DocsGPT
Markdown source: https://seerepo.com/compare/apache/superset/vs/arc53/DocsGPT.md
Description: superset and DocsGPT share 57 technologies: Flask, Celery, pyarrow, Redis, Postgres, kombu, Google, AIOHTTP, uvicorn, werkzeug, starlette, anyio, fastmcp, React, matplotlib, prompt-toolkit, Rich, SQLAlchemy, alembic, google-auth-oauthlib, itsdangerous, joserfc, oauthlib, pyjwt, cryptography, authlib, tiktoken, MCP, defusedxml, mako, markdown-it-py, mdurl, jinja2, markupsafe, openpyxl, pillow, xlsxwriter, annotated-types, beartype, email-validator, jsonschema-specifications, referencing, jsonschema, Pydantic, pydantic-core, Gunicorn, OpenTelemetry, boto3, botocore, psutil, react-syntax-highlighter, dompurify, react-markdown, remark-gfm, D3, soupsieve, and beautifulsoup4. Both are written in Python.

# superset vs DocsGPT

superset and DocsGPT share 57 technologies: Flask, Celery, pyarrow, Redis, Postgres, kombu, Google, AIOHTTP, uvicorn, werkzeug, starlette, anyio, fastmcp, React, matplotlib, prompt-toolkit, Rich, SQLAlchemy, alembic, google-auth-oauthlib, itsdangerous, joserfc, oauthlib, pyjwt, cryptography, authlib, tiktoken, MCP, defusedxml, mako, markdown-it-py, mdurl, jinja2, markupsafe, openpyxl, pillow, xlsxwriter, annotated-types, beartype, email-validator, jsonschema-specifications, referencing, jsonschema, Pydantic, pydantic-core, Gunicorn, OpenTelemetry, boto3, botocore, psutil, react-syntax-highlighter, dompurify, react-markdown, remark-gfm, D3, soupsieve, and beautifulsoup4. Both are written in Python.

- [apache/superset](https://seerepo.com/r/apache/superset): Apache Superset is a Data Visualization and Data Exploration Platform
- [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.

## What they share and what sets them apart

- In common: Flask, Celery, pyarrow, Redis, Postgres, kombu, Google, AIOHTTP, uvicorn, werkzeug, starlette, anyio, fastmcp, React, matplotlib, prompt-toolkit, Rich, SQLAlchemy, alembic, google-auth-oauthlib, itsdangerous, joserfc, oauthlib, pyjwt, cryptography, authlib, tiktoken, MCP, defusedxml, mako, markdown-it-py, mdurl, jinja2, markupsafe, openpyxl, pillow, xlsxwriter, annotated-types, beartype, email-validator, jsonschema-specifications, referencing, jsonschema, Pydantic, pydantic-core, Gunicorn, OpenTelemetry, boto3, botocore, psutil, react-syntax-highlighter, dompurify, react-markdown, remark-gfm, D3, soupsieve, beautifulsoup4
- Only in superset: google-cloud-core, oracledb, psycopg2-binary, pymssql, MySQL, clickhouse-connect, MongoDB, pandas-gbq, pymysql, flask-cors, pyzmq, Express, cycler, fonttools, contourpy, flask-migrate, bcrypt, flask-login, pyxlsb, xlrd, nh3, markdown, msgspec, rfc3339-validator, docker, jwt-decode, emotion, fontsource, antd, Ant Design, @emotion/react, classnames, react-resize-detector, ag-grid-community, react-ace, ace-builds, d3-scale, re-resizable, react-draggable, ag-grid-react, react-error-boundary, react-window, @braintree/sanitize-url, handlebars, markdown-to-jsx, rehype-raw, rehype-sanitize, xss, tinycss2, ipywidgets, matplotlib-inline, argon2-cffi, bleach, prometheus-client, python-json-logger, echarts, Zod, prop-types, MapLibre, supercluster, deck.gl, jsonwebtoken, hot-shots, winston, morgan
- Only in DocsGPT: flask-restx, amqp, Milvus, obstore, pgvector, psycopg, psycopg-binary, psycopg-pool, pymilvus, s3transfer, Hugging Face, OpenAI, Anthropic, ElevenLabs, Qdrant, asgiref, a2wsgi, Vite, react-router-dom, google-auth, google-auth-httplib2, requests-oauthlib, msal, accelerate, faiss-cpu, rapidocr, safetensors, torchvision, transformers, torch, fastembed, gtts, onnxruntime, tokenizers, docling-slim, et-xmlfile, filetype, firecrawl-anydoc, latex2mathml, lxml, olefile, pdfminer.six, pylatexenc, uharfbuzz, pypdfium2, markdownify, docling, pypdf, docx2txt, imageio, pdf2image, pdfplumber, pytesseract, python-docx, python-pptx, reportlab, cel-python, docling-core, jsonschema-path, marshmallow, colorlog, 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, daytona, styled-components, markdown-it, prismjs, Tailwind CSS, class-variance-authority, tailwind-merge, Radix UI, reactflow, react-dropzone, Chart.js, Mermaid, react-chartjs-2, @shadcn/react, cmdk, react-day-picker, react-force-graph-2d, Lucide, unified, micromark-util-character, micromark-util-types, micromark-util-symbol, unist-util-visit, rehype-katex, remark-math, remark-parse, remend

## Side by side

| | superset | DocsGPT |
|---|---|---|
| Size | 1,918,985 lines written, 3,663 code files | 812,848 lines written, 1,275 code files |
| Who writes it | 9.2% of its commits signed by AI. With Claude Code, GitHub Copilot, Cursor, Devin, and Codex | 0.3% of its commits signed by AI. With Claude Code, GitHub Copilot, Codex, and Cursor |
| Activity | Last push November 4, 2026, 24,012 commits, 75,409 stars | Last push November 6, 2026, 5,882 commits, 18,360 stars |
| Tests | 3,041 test files. 61.8% of its code files have a test that imports them | 1,391 test files. 77.3% 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, superset or DocsGPT?

superset, with 1,918,985 lines written; DocsGPT has 812,848.

The proof: [apache/superset's code at commit fcc13d4](https://github.com/apache/superset/tree/fcc13d4a301e81e5f5f2d82ba021e078b87187e7)

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

superset, with 75,409 stars; DocsGPT has 18,360.

The proof: [apache/superset on GitHub](https://github.com/apache/superset)

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

superset, with 3,041 test files; DocsGPT has 1,391.

The proof: [apache/superset's code at commit fcc13d4](https://github.com/apache/superset/tree/fcc13d4a301e81e5f5f2d82ba021e078b87187e7)

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

DocsGPT: its last push was on November 6, 2026, and superset's on November 4, 2026.

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

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

superset: an AI signed 9.2% of its commits, with Claude Code, GitHub Copilot, Cursor, Devin, and Codex; in DocsGPT, 0.3%.

The proof: [the commits each tool signed in apache/superset](https://seerepo.com/r/apache/superset/ai)

## Sources

- apache/superset: Read on November 4, 2026, at commit fcc13d4 (https://github.com/apache/superset/tree/fcc13d4a301e81e5f5f2d82ba021e078b87187e7)
- arc53/DocsGPT: Read on November 6, 2026, at commit dcf08f1 (https://github.com/arc53/DocsGPT/tree/dcf08f1b5a474b00d5981e00d1edb33529559571)

## 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.