Source: https://seerepo.com/compare/apache/superset/vs/fivetran/great_expectations
Markdown source: https://seerepo.com/compare/apache/superset/vs/fivetran/great_expectations.md
Description: superset and great_expectations share 21 technologies: Flask, oracledb, psycopg2-binary, pyarrow, pyhive, Postgres, pandas-gbq, pymysql, Trino, matplotlib, SQLAlchemy, cryptography, prophet, xlrd, jinja2, openpyxl, marshmallow, jsonschema, Pydantic, boto3, and mistune. Both are written in Python.

# superset vs great_expectations

superset and great_expectations share 21 technologies: Flask, oracledb, psycopg2-binary, pyarrow, pyhive, Postgres, pandas-gbq, pymysql, Trino, matplotlib, SQLAlchemy, cryptography, prophet, xlrd, jinja2, openpyxl, marshmallow, jsonschema, Pydantic, boto3, and mistune. Both are written in Python.

- [apache/superset](https://seerepo.com/r/apache/superset): Apache Superset is a Data Visualization and Data Exploration Platform
- [fivetran/great_expectations](https://seerepo.com/r/fivetran/great_expectations): Always know what to expect from your data.

## What they share and what sets them apart

- In common: Flask, oracledb, psycopg2-binary, pyarrow, pyhive, Postgres, pandas-gbq, pymysql, Trino, matplotlib, SQLAlchemy, cryptography, prophet, xlrd, jinja2, openpyxl, marshmallow, jsonschema, Pydantic, boto3, mistune
- Only in superset: amqp, asyncmy2, crate, databend-driver, databend-sqlalchemy, db-dtypes, duckdb-engine, elasticsearch-dbapi, google-cloud-core, mysqlclient, py-key-value-aio, pydruid, pymongo, pymssql, requests-cache, s3transfer, ydb, ydb-dbapi, Celery, flask-caching, Redis, cachelib, MySQL, shillelagh, apsw, clickhouse-connect, DuckDB, kombu, MongoDB, Google, AIOHTTP, apache-superset-core, fastmcp-slim, uvicorn, flask-appbuilder, werkzeug, starlette, anyio, fastmcp, flask-cors, React, async-lru, pyzmq, jupyter-core, jupyterlab-server, tornado, Express, cycler, fonttools, contourpy, prompt-toolkit, Rich, sqlalchemy-continuum, sqlglot, sqlalchemy-utils, alembic, flask-sqlalchemy, flask-migrate, marshmallow-sqlalchemy, bcrypt, google-auth-oauthlib, itsdangerous, joserfc, keyring, oauthlib, python-ldap, requests-oauthlib, flask-login, flask-jwt-extended, pyjwt, authlib, flask-session, cmdstanpy, tiktoken, MCP, defusedxml, docutils, et-xmlfile, mako, markdown-it-py, mdurl, odfpy, python-calamine, pyxlsb, rich-rst, markupsafe, pillow, nh3, markdown, xlsxwriter, annotated-types, beartype, cattrs, email-validator, jsonschema-path, jsonschema-specifications, msgspec, openapi-pydantic, openapi-schema-validator, referencing, rfc3339-validator, flask-wtf, pydantic-core, mcp-types, wtforms, marshmallow-union, openapi-spec-validator, wtforms-json, docker, execnet, Gunicorn, OpenTelemetry, botocore, psutil, statsd, jwt-decode, emotion, fontsource, antd, Ant Design, @emotion/react, classnames, React Table, react-resize-detector, ag-grid-community, brace, react-ace, visx, ace-builds, d3-scale, re-resizable, react-draggable, react-js-cron, ag-grid-react, d3-interpolate, 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-selection, geostyler-style, ol, D3, jupyterlab-pygments, soupsieve, tinycss2, ipywidgets, jupyter-server-terminals, jupyterlab-widgets, matplotlib-inline, widgetsnbextension, argon2-cffi, argon2-cffi-bindings, beautifulsoup4, bleach, nbconvert, nbformat, pandocfilters, webencodings, fastjsonschema, fqdn, rfc3986-validator, rfc3987-syntax, prometheus-client, python-json-logger, echarts, Zod, handlebars-group-by, d3v3, d3-hierarchy, prop-types, react-map-gl, @math.gl/web-mercator, MapLibre, supercluster, d3-cloud, datamaps, deck.gl, Mapbox, jsonwebtoken, hot-shots, winston, morgan
- Only in great_expectations: azure-storage-blob, feather-format, gcsfs, snowflake-sqlalchemy, clickhouse-sqlalchemy, teradatasqlalchemy, pyathena, pyodbc, pyspark, pydata-sphinx-theme, altair, azure-identity, azure-keyvault-secrets, datasets, TensorFlow, scikit-learn, langid, myst-parser, pdf2image, pytesseract, lxml, disposable-email-domains, great-expectations, barcodenumber

## Side by side

| | superset | great_expectations |
|---|---|---|
| Size | 1,939,050 lines written, 3,665 code files | 366,832 lines written, 855 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, and CodeRabbit |
| Activity | Last push November 9, 2026, 24,051 commits, 75,452 stars | Last push November 11, 2026, 12,249 commits, 11,925 stars |
| Tests | 3,053 test files. 62% of its code files have a test that imports them | 582 test files. 2.1% 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 great_expectations?

superset, with 1,939,050 lines written; great_expectations has 366,832.

The proof: [apache/superset's code at commit 8527530](https://github.com/apache/superset/tree/8527530ace48171b5a0425c73c20e95200cf0d50)

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

superset, with 75,452 stars; great_expectations has 11,925.

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

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

superset, with 3,053 test files; great_expectations has 582.

The proof: [apache/superset's code at commit 8527530](https://github.com/apache/superset/tree/8527530ace48171b5a0425c73c20e95200cf0d50)

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

great_expectations: its last push was on November 11, 2026, and superset's on November 9, 2026.

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

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

superset: an AI signed 9.2% of its commits, with Claude Code, GitHub Copilot, Cursor, Devin, and Codex; in great_expectations, 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 9, 2026, at commit 8527530 (https://github.com/apache/superset/tree/8527530ace48171b5a0425c73c20e95200cf0d50)
- fivetran/great_expectations: Read on November 11, 2026, at commit a3e335b (https://github.com/fivetran/great_expectations/tree/a3e335bf4254f77ebd92e526c0e81d6c5caa936b)

## 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.