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.
What they share and what sets them apart
krita-ai-diffusion
Streamlined interface for generating images with AI in Krita. Inpaint and outpaint with optional text prompt, no tweaking required.
Python10.9kRead on November 13, 2026, at commit 828b70cWhat is krita-ai-diffusion built with?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
In common
superset
Apache Superset is a Data Visualization and Data Exploration Platform
Python75.5kRead on November 12, 2026, at commit 8d5f06eWhat is superset built with?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
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
Frequently asked questions
Which is bigger, krita-ai-diffusion or superset?
The proof: apache/superset's code at commit 8d5f06e
Which has more GitHub stars, krita-ai-diffusion or superset?
The proof: apache/superset on GitHub
Which has more tests, krita-ai-diffusion or superset?
The proof: apache/superset's code at commit 8d5f06e
Which was updated more recently, krita-ai-diffusion or superset?
The proof: apache/superset's commits on GitHub
Which has more commits signed by AI, krita-ai-diffusion or superset?
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