Source: https://seerepo.com/compare/Acly/krita-ai-diffusion/vs/apache/superset
Markdown source: https://seerepo.com/compare/Acly/krita-ai-diffusion/vs/apache/superset.md
Description: krita-ai-diffusion and superset share 25 technologies: anyio, AIOHTTP, cycler, fonttools, tinycss2, contourpy, matplotlib, alembic, SQLAlchemy, cryptography, pyjwt, jinja2, mako, markdown, markdown-it-py, markupsafe, mdurl, webencodings, pillow, annotated-types, jsonschema, jsonschema-specifications, Pydantic, referencing, and boto3. Both are written in Python.

# krita-ai-diffusion vs superset

krita-ai-diffusion and superset share 25 technologies: anyio, AIOHTTP, cycler, fonttools, tinycss2, contourpy, matplotlib, alembic, SQLAlchemy, cryptography, pyjwt, jinja2, mako, markdown, markdown-it-py, markupsafe, mdurl, webencodings, pillow, annotated-types, jsonschema, jsonschema-specifications, Pydantic, referencing, and boto3. Both are written in Python.

- [Acly/krita-ai-diffusion](https://seerepo.com/r/Acly/krita-ai-diffusion): Streamlined interface for generating images with AI in Krita. Inpaint and outpaint with optional text prompt, no tweaking required.
- [apache/superset](https://seerepo.com/r/apache/superset): Apache Superset is a Data Visualization and Data Exploration Platform

## What they share and what sets them apart

- In common: anyio, AIOHTTP, cycler, fonttools, tinycss2, contourpy, matplotlib, alembic, SQLAlchemy, cryptography, pyjwt, jinja2, mako, markdown, markdown-it-py, markupsafe, mdurl, webencodings, pillow, annotated-types, jsonschema, jsonschema-specifications, Pydantic, referencing, boto3
- Only in krita-ai-diffusion: gitdb, smart-open, pyqt6, comfyui-frontend-package, mapbox-earcut, Rich, albucore, albumentations, argostranslate, comfy-aimdo, comfy-kitchen, ctranslate2, cuda-bindings, cuda-toolkit, einops, gguf, kornia, kornia-rs, MediaPipe, NVIDIA, nvidia-cuda-runtime, nvidia-cudnn-cu12, nvidia-cudnn-cu13, nvidia-cufft, nvidia-cusolver, nvidia-cusparse, onnxruntime, opencv-contrib-python, opencv-python, rocm-sdk-core, sacremoses, safetensors, scikit-image, scikit-learn, sentencepiece, spaCy, spacy-legacy, spandrel, stanza, thinc, tokenizers, torch, torchaudio, torchsde, torchvision, transformers, triton, av, comfyui-embedded-docs, comfyui-workflow-templates, cssselect2, imageio, lxml, pycollada, reportlab, svglib, colorlog, spacy-loggers
- Only in superset: Flask, amqp, asyncmy2, crate, databend-driver, databend-sqlalchemy, db-dtypes, duckdb-engine, elasticsearch-dbapi, google-cloud-core, mysqlclient, oracledb, psycopg2-binary, py-key-value-aio, pydruid, pymongo, pymssql, requests-cache, s3transfer, ydb, ydb-dbapi, Celery, flask-caching, pyarrow, Redis, pyhive, Postgres, MySQL, shillelagh, apsw, clickhouse-connect, kombu, MongoDB, pandas-gbq, pymysql, Trino, Google, apache-superset-core, fastmcp-slim, uvicorn, flask-appbuilder, werkzeug, starlette, fastmcp, flask-cors, React, async-lru, pyogrio, pyzmq, jupyter-core, jupyterlab-server, tornado, Express, prompt-toolkit, sqlalchemy-continuum, sqlglot, sqlalchemy-utils, flask-sqlalchemy, flask-migrate, sqlalchemy-bigquery, bcrypt, google-auth-oauthlib, itsdangerous, joserfc, oauthlib, python-ldap, requests-oauthlib, flask-login, flask-jwt-extended, flask-session, cmdstanpy, tiktoken, prophet, defusedxml, docutils, et-xmlfile, odfpy, python-calamine, pyxlsb, rich-rst, xlrd, nh3, xlsxwriter, beartype, cattrs, email-validator, jsonschema-path, msgspec, openapi-pydantic, openapi-schema-validator, rfc3339-validator, marshmallow, flask-wtf, mcp-types, wtforms, marshmallow-union, wtforms-json, docker, execnet, Gunicorn, OpenTelemetry, botocore, 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-interpolate, re-resizable, react-draggable, react-js-cron, 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-selection, geostyler-style, ol, D3, jupyterlab-pygments, soupsieve, ipywidgets, jupyter-server-terminals, jupyterlab-widgets, matplotlib-inline, widgetsnbextension, argon2-cffi, argon2-cffi-bindings, beautifulsoup4, bleach, mistune, nbconvert, nbformat, pandocfilters, fastjsonschema, fqdn, rfc3986-validator, rfc3987-syntax, prometheus-client, psutil, python-json-logger, echarts, Zod, handlebars-group-by, d3-scale, d3v3, prop-types, react-map-gl, @math.gl/web-mercator, MapLibre, supercluster, d3-cloud, datamaps, deck.gl, Mapbox, jsonwebtoken, hot-shots, winston, morgan, authlib, MCP, openpyxl

## Side by side

| | krita-ai-diffusion | superset |
|---|---|---|
| Size | 40,529 lines written, 55 code files | 1,951,491 lines written, 3,666 code files |
| Who writes it | 0.2% of its commits signed by AI. With Claude Code, Codex, and Aider | 9.2% of its commits signed by AI. With Claude Code, GitHub Copilot, Cursor, Devin, and Codex |
| Activity | Last push November 6, 2026, 1,770 commits, 10,887 stars | Last push November 12, 2026, 24,091 commits, 75,495 stars |
| Tests | 30 test files. 52.7% of its code files have a test that imports them | 3,067 test files. 62% 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, krita-ai-diffusion or superset?

superset, with 1,951,491 lines written; krita-ai-diffusion has 40,529.

The proof: [apache/superset's code at commit 8d5f06e](https://github.com/apache/superset/tree/8d5f06e5250230e55f7d953ab807af271d1ed01b)

### Which has more GitHub stars, krita-ai-diffusion or superset?

superset, with 75,495 stars; krita-ai-diffusion has 10,887.

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

### Which has more tests, krita-ai-diffusion or superset?

superset, with 3,067 test files; krita-ai-diffusion has 30.

The proof: [apache/superset's code at commit 8d5f06e](https://github.com/apache/superset/tree/8d5f06e5250230e55f7d953ab807af271d1ed01b)

### Which was updated more recently, krita-ai-diffusion or superset?

superset: its last push was on November 12, 2026, and krita-ai-diffusion's on November 6, 2026.

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

### Which has more commits signed by AI, krita-ai-diffusion or superset?

superset: an AI signed 9.2% of its commits, with Claude Code, GitHub Copilot, Cursor, Devin, and Codex; in krita-ai-diffusion, 0.2%.

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

## Sources

- Acly/krita-ai-diffusion: Read on November 13, 2026, at commit 828b70c (https://github.com/Acly/krita-ai-diffusion/tree/828b70c33c5c97f326e03170cd693beef798231e)
- apache/superset: Read on November 12, 2026, at commit 8d5f06e (https://github.com/apache/superset/tree/8d5f06e5250230e55f7d953ab807af271d1ed01b)

## 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.