krita-ai-diffusion vs ray
krita-ai-diffusion and ray share 41 technologies: gitdb, smart-open, anyio, AIOHTTP, cycler, fonttools, tinycss2, contourpy, Rich, alembic, cryptography, pyjwt, albucore, einops, onnxruntime, safetensors, scikit-image, scikit-learn, sentencepiece, tokenizers, torch, torchvision, transformers, triton, imageio, jinja2, lxml, mako, markdown, markdown-it-py, markupsafe, mdurl, webencodings, pillow, annotated-types, jsonschema, jsonschema-specifications, Pydantic, referencing, boto3, and colorlog. 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
pyqt6
- comfyui-frontend-package
- mapbox-earcut
matplotlib
- SQLAlchemy
albumentations
argostranslate
comfy-aimdo
comfy-kitchen
ctranslate2
- cuda-bindings
- cuda-toolkit
- gguf
kornia
kornia-rs
- MediaPipe
- NVIDIA
- nvidia-cuda-runtime
- nvidia-cudnn-cu12
- nvidia-cudnn-cu13
- nvidia-cufft
- nvidia-cusolver
- nvidia-cusparse
opencv-contrib-python
opencv-python
- rocm-sdk-core
- sacremoses
- spaCy
spacy-legacy
- spandrel
stanza
thinc
torchaudio
- torchsde
av
comfyui-embedded-docs
- comfyui-workflow-templates
- cssselect2
- pycollada
- reportlab
- svglib
- spacy-loggers
In common
- gitdb
- smart-open
- anyio
- AIOHTTP
- cycler
fonttools
- tinycss2
contourpy
- Rich
- alembic
- cryptography
- pyjwt
- albucore
- einops
- onnxruntime
safetensors
scikit-image
- scikit-learn
- sentencepiece
tokenizers
- torch
torchvision
- transformers
- triton
imageio
- jinja2
lxml
- mako
- markdown
markdown-it-py
markupsafe
- mdurl
webencodings
pillow
- annotated-types
- jsonschema
- jsonschema-specifications
- Pydantic
- referencing
- boto3
- colorlog
ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Python44.3kRead on November 13, 2026, at commit de4c576What is ray built with?Only in ray
- FastAPI
- aimrecords
- aimrocks
- amqp
- array-record
- arro3-core
- async-lru
- azure-common
- azure-datalake-store
- azure-storage-blob
confluent-kafka
- delta-kernel-rust-sharing-wrapper
- diskcache
expiringdict
- feather-format
google-cloud-core
h5py
- huey
jupyter-cache
kombu
- partd
petastorm
pickleshare
- py-partiql-parser
- pylance
- pymongo
- qpd
- s3torchconnectorclient
- s3transfer
- semidbm
- sqlitedict
taskiq
tensorboard-data-server
- zict
pyarrow
mcap
- aioboto3
- MongoDB
- Redis
- adlfs
pyiceberg
clickhouse-connect
daft
deltalake
- gcsfs
lance-namespace
- obstore
- Celery
delta-sharing
- fastavro
hudi
- pyzmq
- s3fs
- s3torchconnector
- taskiq-redis
zarr
- Hugging Face
- Google Cloud Storage
- Kafka
- Databricks
- adagio
- asgiref
- Flask
- flask-cors
- graphene
- graphql-core
- graphql-relay
- jupyter-core
jupyterlab-server
pygame
pymars
werkzeug
- Ray
starlette
pyspark
- Lightning
raydp
tornado
uvicorn
- React
react-router-dom
- accessible-pygments
- alabaster
jupyterlab-pygments
pydata-sphinx-theme
- soupsieve
sphinx-design
- aim-ui
- alive-progress
bokeh
- glfw
halo
- jupyter-server-terminals
- jupyterlab-widgets
- matplotlib-inline
- Plotly
prompt-toolkit
pyglet
pyopengl
- spinners
- Textual
- widgetsnbextension
- xyzservices
- Gradio
- ipywidgets
- pydot
peewee
sqlglot
- adal
- argon2-cffi
- argon2-cffi-bindings
- azure-identity
- flask-basicauth
- gcs-oauth2-boto-plugin
google-auth-oauthlib
- google-oauth
- google-reauth
- id
itsdangerous
joserfc
- jwcrypto
- keyring
- msal
- msal-extensions
- oauth2client
oauthlib
- pyu2f
requests-oauthlib
google-auth-httplib2
- aws-requests-auth
- autograd
ax-platform
- bayesian-optimization
- bitsandbytes
botorch
- cma
cmdstanpy
- crcmod
cupy-cuda100
cupy-cuda12x
cupy-cuda13x
- fairscale
- fbgemm-gpu
- gpytorch
gradio-client
- gym
jaxlib
- labmaze
- LangChain
- lightning-utilities
- linear-operator
- llvmlite
lm-eval
- minigrid
- ml-dtypes
- moocore
mosaicml
nltk
- ONNX
onnx-ir
onnxscript
openai-whisper
- opt-einsum
optax
- orbax-checkpoint
peft
prophet
pymoo
pyro-ppl
- pytorch-ranger
rouge-score
- sacrebleu
skops
stanio
statsforecast
tf-keras
- tiktoken
timm
- torch-geometric
- torch-optimizer
- torch-scatter
- torch-sparse
torchtext
- yahp
- gymnasium
- TensorFlow
jax
- xgboost
lightgbm
- MLflow
- datasets
- pytorch-lightning
- comet-ml
- dm-env
flax
- Keras
- torchmetrics
- aim
ale-py
configspace
deepspeed
diffusers
- dm-control
- hpbandster
- hyperopt
- nevergrad
- open-spiel
- Optuna
tensorflow-probability
- zoopt
- bleach
- defusedxml
et-xmlfile
imageio-ffmpeg
- imagesize
- jsonlines
- linkify-it-py
- mdit-py-plugins
mistune
- moviepy
myst-parser
- nbconvert
- nh3
- openpyxl
- pandocfilters
- pytablewriter
- readme-renderer
ruamel-yaml
ruamel-yaml-clib
- strictyaml
- tinyscaler
- xlrd
- xmltodict
- docutils
- beautifulsoup4
- decord
- nbformat
- torchcodec
- fastjsonschema
- fqdn
- jsonschema-path
- openapi-spec-validator
- pathvalidate
- rfc3339-validator
- rfc3986
- rfc3986-validator
- typepy
- validators
- aiobotocore
- applicationinsights
- aws-sam-translator
aws-xray-sdk
- azure-cli-core
- azure-cli-telemetry
- azure-core
- azure-mgmt-compute
- azure-mgmt-core
- azure-mgmt-network
- azure-mgmt-resource
- azure-mgmt-resource-deployments
- boto
- cloud-tpu-diagnostics
- execnet
google-cloud-audit-log
- Gunicorn
- log-symbols
- ml-goodput-measurement
- msrestazure
- opencensus-context
opentelemetry-instrumentation
opentelemetry-instrumentation-asgi
opentelemetry-semantic-conventions
opentelemetry-util-http
- python-json-logger
- supervisor
psutil
- botocore
prometheus-client
- pybuildkite
- OpenTelemetry
kubernetes
opentelemetry-exporter-prometheus
- docker
opentelemetry-exporter-otlp-proto-grpc
opentelemetry-instrumentation-fastapi
- ray-haproxy
- typeface-roboto
- MUI
usehooks-ts
- lowlight
react-window
react-icons
- @mui/icons-material
- js-yaml
Side by side
Frequently asked questions
Which is bigger, krita-ai-diffusion or ray?
The proof: ray-project/ray's code at commit de4c576
Which has more GitHub stars, krita-ai-diffusion or ray?
The proof: ray-project/ray on GitHub
Which has more tests, krita-ai-diffusion or ray?
The proof: ray-project/ray's code at commit de4c576
Which was updated more recently, krita-ai-diffusion or ray?
The proof: ray-project/ray's commits on GitHub
Which has more commits signed by AI, krita-ai-diffusion or ray?
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