redash vs ray
redash and ray share 13 technologies: React, Flask, Redis, werkzeug, SQLAlchemy, cryptography, itsdangerous, pyjwt, jinja2, markupsafe, jsonschema, Gunicorn, and Plotly. Both are written in Python.
What they share and what sets them apart
getredash
redash
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
Python28.9kRead on November 8, 2026, at commit 09740eaWhat is redash built with?Only in redash
- universal-router
psycopg2-binary
rq
- Postgres
- ibm-db
oracledb
- pyodbc
- rq-scheduler
- Sentry
flask-restful
- history
- classnames
antd
react-ace
- ace-builds
- D3
- react-grid-layout
- react-resizable
react-virtualized
- Ant Design
- sqlalchemy-utils
- flask-migrate
flask-sqlalchemy
- flask-login
authlib
- passlib
- mustache
- xlsxwriter
- disposable-email-domains
- dompurify
marked
- email-validator
wtforms
- prop-types
flask-wtf
- supervisor
- Leaflet
d3-cloud
dnd-kit
leaflet.markercluster
- react-plotly.js
In common
ray-project
ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Python44.2kRead on November 6, 2026, at commit 77567c5What is ray built with?Only in ray
- FastAPI
- amqp
- async-lru
- azure-common
- azure-datalake-store
- azure-storage-blob
confluent-kafka
- diskcache
expiringdict
- gitdb
google-cloud-core
h5py
kombu
pickleshare
- pylance
- pymongo
pyarrow
- aioboto3
- MongoDB
- adlfs
- smart-open
pyiceberg
- pymysql
clickhouse-connect
deltalake
- gcsfs
- Celery
- fastavro
- pyzmq
- s3fs
webdataset
Google- Hugging Face
- Google Cloud Storage
- Kafka
- asgiref
- flask-cors
- graphene
- graphql-core
- graphql-relay
- jupyter-core
jupyterlab-server
- Ray
starlette
- AIOHTTP
- Lightning
- anyio
tornado
uvicorn
react-router-dom
- alabaster
- cycler
fonttools
jupyterlab-pygments
- pydata-sphinx-theme
- soupsieve
sphinx-design
- tinycss2
contourpy
- glfw
- jupyter-server-terminals
- jupyterlab-widgets
- matplotlib-inline
prompt-toolkit
pyopengl
- Textual
- widgetsnbextension
- xyzservices
- Gradio
- ipywidgets
matplotlib
- Rich
- pydot
- alembic
peewee
sqlglot
- argon2-cffi
- argon2-cffi-bindings
- azure-identity
- flask-basicauth
google-auth-oauthlib
joserfc
- jwcrypto
- keyring
- msal
- msal-extensions
- oauth2client
oauthlib
requests-oauthlib
google-auth-httplib2
- albucore
- bitsandbytes
cmdstanpy
- crcmod
cupy-cuda12x
cupy-cuda13x
- einops
- fairscale
gradio-client
- gym
- LangChain
- llvmlite
lm-eval
- ml-dtypes
- MLflow
nltk
- ONNX
- onnxruntime
onnxscript
openai-whisper
- opt-einsum
- orbax-checkpoint
peft
prophet
rouge-score
- sacrebleu
safetensors
scikit-image
- sentencepiece
skops
tf-keras
- tiktoken
timm
tokenizers
torchtext
- triton
- gymnasium
- torch
- transformers
- TensorFlow
jax
torchvision
- xgboost
lightgbm
- scikit-learn
accelerate
- datasets
- pytorch-lightning
evaluate
flax
- Keras
- torchmetrics
albumentations
deepspeed
diffusers
- hyperopt
- Optuna
- pettingzoo
tensordict
tensorflow-datasets
tensorflow-probability
torchaudio
- bleach
- defusedxml
et-xmlfile
imageio
imageio-ffmpeg
- imagesize
- jsonlines
- linkify-it-py
lxml
- mako
- markdown
markdown-it-py
- mdurl
mistune
- moviepy
- nbconvert
- nh3
- openpyxl
- pandocfilters
ruamel-yaml
webencodings
- xlrd
- xmltodict
pillow
- docutils
- beautifulsoup4
av
- nbformat
- torchcodec
- annotated-types
- fastjsonschema
- fqdn
- jsonschema-specifications
- pathvalidate
- pydantic-core
- referencing
- rfc3339-validator
- rfc3986
- rfc3986-validator
- validators
- Pydantic
- openapi-schema-validator
- aiobotocore
- azure-mgmt-compute
- azure-mgmt-resource
- colorlog
- opentelemetry-api
opentelemetry-instrumentation
opentelemetry-semantic-conventions
- python-json-logger
psutil
- boto3
- botocore
prometheus-client
- OpenTelemetry
kubernetes
opentelemetry-exporter-prometheus
- docker
opentelemetry-exporter-otlp-proto-grpc
opentelemetry-instrumentation-fastapi
- typeface-roboto
- MUI
usehooks-ts
- lowlight
react-window
react-icons
- @mui/icons-material
- js-yaml
Side by side
redashray
SizeLines written by people and agents, without generated ones; code files, without tests.
redash120,621 lines written643 code files
ray1,531,664 lines written2,777 code files
Who writes itA commit counts as AI's when it carries its signature: a Co-Authored-By line, its author name or the merge of its branch.
redash0.9% of its commits signed by AIWith Claude Code and Cursor
ray3.6% of its commits signed by AIWith Claude Code, Gemini CLI, GitHub Copilot, Cursor, and Codex
ActivityFrom GitHub and its history, on the day SeeRepo read it.
redashLast push November 7, 20266,566 commits28,874 stars
rayLast push November 6, 202632,373 commits44,213 stars
TestsThe files that test the code, and the share of code files a test imports.
redash266 test files21.6% of its code files have a test that imports them
ray2,168 test files9.7% of its code files have a test that imports them
Frequently asked questions
Which is bigger, redash or ray?
ray, with 1,531,664 lines written; redash has 120,621.
The proof: ray-project/ray's code at commit 77567c5
Which has more GitHub stars, redash or ray?
ray, with 44,213 stars; redash has 28,874.
The proof: ray-project/ray on GitHub
Which has more tests, redash or ray?
ray, with 2,168 test files; redash has 266.
The proof: ray-project/ray's code at commit 77567c5
Which was updated more recently, redash or ray?
redash: its last push was on November 7, 2026, and ray's on November 6, 2026.
The proof: getredash/redash's commits on GitHub
Which has more commits signed by AI, redash or ray?
ray: an AI signed 3.6% of its commits, with Claude Code, Gemini CLI, GitHub Copilot, Cursor, and Codex; in redash, 0.9%.
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