Source: https://seerepo.com/compare/apache/superset/vs/MLEveryday/100-Days-Of-ML-Code
Markdown source: https://seerepo.com/compare/apache/superset/vs/MLEveryday/100-Days-Of-ML-Code.md
Description: superset and 100-Days-Of-ML-Code share 3 technologies: matplotlib, pillow, and beautifulsoup4. Both are written in Python.

# superset vs 100-Days-Of-ML-Code

superset and 100-Days-Of-ML-Code share 3 technologies: matplotlib, pillow, 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
- [MLEveryday/100-Days-Of-ML-Code](https://seerepo.com/r/MLEveryday/100-Days-Of-ML-Code): 100-Days-Of-ML-Code中文版

## What they share and what sets them apart

- In common: matplotlib, pillow, beautifulsoup4
- Only in superset: Flask, google-cloud-core, oracledb, psycopg2-binary, pymssql, Celery, pyarrow, Redis, Postgres, MySQL, clickhouse-connect, kombu, MongoDB, pandas-gbq, pymysql, Google, AIOHTTP, uvicorn, werkzeug, starlette, anyio, fastmcp, flask-cors, React, pyzmq, Express, cycler, fonttools, contourpy, prompt-toolkit, Rich, SQLAlchemy, alembic, flask-migrate, bcrypt, google-auth-oauthlib, itsdangerous, joserfc, oauthlib, flask-login, pyjwt, cryptography, authlib, tiktoken, MCP, defusedxml, mako, markdown-it-py, mdurl, pyxlsb, xlrd, jinja2, markupsafe, openpyxl, nh3, markdown, xlsxwriter, annotated-types, beartype, email-validator, jsonschema-specifications, msgspec, referencing, rfc3339-validator, jsonschema, Pydantic, pydantic-core, docker, Gunicorn, OpenTelemetry, boto3, botocore, psutil, 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-syntax-highlighter, react-window, @braintree/sanitize-url, dompurify, handlebars, markdown-to-jsx, react-markdown, rehype-raw, rehype-sanitize, remark-gfm, xss, D3, soupsieve, 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 100-Days-Of-ML-Code: Keras, scikit-learn, TensorFlow

## Side by side

| | superset | 100-Days-Of-ML-Code |
|---|---|---|
| Size | 1,918,985 lines written, 3,663 code files | 2,400 lines written, 25 code files |
| Who writes it | 9.2% of its commits signed by AI. With Claude Code, GitHub Copilot, Cursor, Devin, and Codex | 0% of its commits signed by AI |
| Activity | Last push November 4, 2026, 24,012 commits, 75,409 stars | Last push October 24, 2026, 290 commits, 22,231 stars |
| Tests | 3,041 test files. 61.8% of its code files have a test that imports them | 4 test files. 12% 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 100-Days-Of-ML-Code?

superset, with 1,918,985 lines written; 100-Days-Of-ML-Code has 2,400.

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

### Which has more GitHub stars, superset or 100-Days-Of-ML-Code?

superset, with 75,409 stars; 100-Days-Of-ML-Code has 22,231.

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

### Which has more tests, superset or 100-Days-Of-ML-Code?

superset, with 3,041 test files; 100-Days-Of-ML-Code has 4.

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

### Which was updated more recently, superset or 100-Days-Of-ML-Code?

superset: its last push was on November 4, 2026, and 100-Days-Of-ML-Code's on October 24, 2026.

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

### Which has more commits signed by AI, superset or 100-Days-Of-ML-Code?

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

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)
- MLEveryday/100-Days-Of-ML-Code: Read on November 5, 2026, at commit a6474a2 (https://github.com/MLEveryday/100-Days-Of-ML-Code/tree/a6474a20a1cd8bb3fa3c7fab12ffadf70858810c)

## 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.