ColossalAI vs ray
ColossalAI and ray share 37 technologies: FastAPI, uvicorn, Hugging Face, anyio, Ray, Gradio, matplotlib, Rich, SQLAlchemy, scikit-learn, tiktoken, torch, transformers, LangChain, triton, peft, diffusers, datasets, timm, safetensors, bitsandbytes, einops, accelerate, sentencepiece, tokenizers, torchaudio, torchvision, jinja2, markdown-it-py, markupsafe, mdurl, pillow, jsonlines, annotated-types, pydantic-core, Pydantic, and psutil. Both are written in Python.
What they share and what sets them apart
ColossalAI
Making large AI models cheaper, faster and more accessible
Python41.4kRead on November 6, 2026, at commit da8f5c2What is ColossalAI built with?Only in ColossalAI
chromadb
seaborn
- ModelScope
OpenAIsentence-transformers
- flash-attn
- vLLM
- galore-torch
- math-verify
pypdf
unstructured
In common
- FastAPI
uvicorn
- Hugging Face
- anyio
- Ray
- Gradio
matplotlib
- Rich
- SQLAlchemy
- scikit-learn
- tiktoken
- torch
- transformers
- LangChain
- triton
peft
diffusers
- datasets
timm
safetensors
- bitsandbytes
- einops
accelerate
- sentencepiece
tokenizers
torchaudio
torchvision
- jinja2
markdown-it-py
markupsafe
- mdurl
pillow
- jsonlines
- annotated-types
- pydantic-core
- Pydantic
psutil
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
- 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
- Redis
- adlfs
- smart-open
pyiceberg
- pymysql
clickhouse-connect
deltalake
- gcsfs
- Celery
- fastavro
- pyzmq
- s3fs
webdataset
- Google Cloud Storage
- Kafka
- asgiref
- Flask
- flask-cors
- graphene
- graphql-core
- graphql-relay
- jupyter-core
jupyterlab-server
werkzeug
starlette
- AIOHTTP
- Lightning
tornado
- React
react-router-dom
- alabaster
- cycler
fonttools
jupyterlab-pygments
- pydata-sphinx-theme
- soupsieve
- sphinx-design
- tinycss2
contourpy
- glfw
- jupyter-server-terminals
- jupyterlab-widgets
- matplotlib-inline
- Plotly
prompt-toolkit
pyopengl
- Textual
- widgetsnbextension
- xyzservices
- ipywidgets
- pydot
- alembic
peewee
sqlglot
- argon2-cffi
- argon2-cffi-bindings
- azure-identity
- flask-basicauth
google-auth-oauthlib
itsdangerous
joserfc
- jwcrypto
- keyring
- msal
- msal-extensions
- oauth2client
oauthlib
- pyjwt
requests-oauthlib
- cryptography
google-auth-httplib2
- albucore
cmdstanpy
- crcmod
cupy-cuda12x
cupy-cuda13x
- fairscale
gradio-client
- gym
- llvmlite
lm-eval
- ml-dtypes
- MLflow
nltk
- ONNX
- onnxruntime
onnxscript
openai-whisper
- opt-einsum
- orbax-checkpoint
prophet
rouge-score
- sacrebleu
scikit-image
skops
tf-keras
torchtext
gymnasium
- TensorFlow
jax
- xgboost
lightgbm
- pytorch-lightning
evaluate
flax
- Keras
- torchmetrics
albumentations
deepspeed
- hyperopt
- Optuna
- pettingzoo
tensordict
tensorflow-datasets
tensorflow-probability
- bleach
- defusedxml
et-xmlfile
imageio
imageio-ffmpeg
- imagesize
- linkify-it-py
lxml
- mako
- markdown
mistune
- moviepy
- nbconvert
- nh3
- openpyxl
- pandocfilters
ruamel-yaml
webencodings
- xlrd
- xmltodict
- docutils
- beautifulsoup4
av
- nbformat
- torchcodec
- fastjsonschema
- fqdn
- jsonschema-specifications
- pathvalidate
- referencing
- rfc3339-validator
- rfc3986
- rfc3986-validator
- validators
- jsonschema
- openapi-schema-validator
- aiobotocore
- azure-mgmt-compute
- azure-mgmt-resource
- colorlog
- Gunicorn
- opentelemetry-api
opentelemetry-instrumentation
opentelemetry-semantic-conventions
- python-json-logger
- 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
Frequently asked questions
Which is bigger, ColossalAI or ray?
The proof: ray-project/ray's code at commit 77567c5
Which has more GitHub stars, ColossalAI or ray?
The proof: ray-project/ray on GitHub
Which has more tests, ColossalAI or ray?
The proof: ray-project/ray's code at commit 77567c5
Which was updated more recently, ColossalAI or ray?
The proof: hpcaitech/ColossalAI's commits on GitHub
Which has more commits signed by AI, ColossalAI or ray?
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