frigate vs ray
frigate and ray share 22 technologies: FastAPI, pyzmq, Google, AIOHTTP, starlette, uvicorn, React, react-router-dom, peewee, joserfc, cryptography, ONNX, onnxruntime, transformers, TensorFlow, markupsafe, Pydantic, pathvalidate, psutil, prometheus-client, react-icons, and js-yaml. frigate is written in TypeScript and ray in Python.
LinkedInWhat they share and what sets them apart
blakeblackshear
frigate
NVR with realtime local object detection for IP cameras
TypeScript37.3kRead on November 6, 2026, at commit 0e90e8eWhat is frigate built with?Only in frigate
OpenAI- Vite
- idb-keyval
- py-vapid
- cuda-python
- nvidia-cudnn-cu12
- onnxruntime-gpu
opencv-contrib-python
- tensorflow-cpu
- openvino
- faster-whisper
- sherpa-onnx
librosa
- Ollama
- Tailwind CSS
class-variance-authority
- next-themes
tailwind-merge
sonner
- Radix UI
- React Hook Form
- Konva
- Framer
react-day-picker
react-konva
react-zoom-pan-pinch
scroll-into-view-if-needed
apexcharts
@rjsf/core
- cmdk
- monaco-editor
monaco-yaml
react-dropzone
- react-grid-layout
- use-long-press
vaul
- virtua
- Lucide
- react-markdown
remark-gfm
- Zod
@hookform/resolvers
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
- 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
- s3fs
webdataset
- Hugging Face
- Google Cloud Storage
- Kafka
- asgiref
- Flask
- flask-cors
- graphene
- graphql-core
- graphql-relay
- jupyter-core
jupyterlab-server
werkzeug
- Ray
- Lightning
- anyio
tornado
- 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
- Gradio
- ipywidgets
matplotlib
- Rich
- pydot
- alembic
sqlglot
- SQLAlchemy
- argon2-cffi
- argon2-cffi-bindings
- azure-identity
- flask-basicauth
itsdangerous
- jwcrypto
- keyring
- msal
- msal-extensions
- oauth2client
oauthlib
- pyjwt
requests-oauthlib
- albucore
- bitsandbytes
cmdstanpy
- crcmod
cupy-cuda12x
- einops
- fairscale
gradio-client
- gym
- LangChain
- llvmlite
lm-eval
- ml-dtypes
- MLflow
nltk
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
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
- jinja2
- beautifulsoup4
av
- nbformat
- torchcodec
- annotated-types
- fastjsonschema
- fqdn
- jsonschema-specifications
- pydantic-core
- 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
- OpenTelemetry
kubernetes
- docker
- typeface-roboto
- MUI
usehooks-ts
- lowlight
react-window
- @mui/icons-material
Side by side
frigateray
SizeLines written by people and agents, without generated ones; code files, without tests.
frigate304,915 lines written883 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.
frigate0.2% of its commits signed by AIWith Claude Code
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.
frigateLast push November 6, 20266,464 commits37,293 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.
frigate247 test files17.9% 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, frigate or ray?
ray, with 1,531,664 lines written; frigate has 304,915.
The proof: ray-project/ray's code at commit 77567c5
Which has more GitHub stars, frigate or ray?
ray, with 44,213 stars; frigate has 37,293.
The proof: ray-project/ray on GitHub
Which has more tests, frigate or ray?
ray, with 2,168 test files; frigate has 247.
The proof: ray-project/ray's code at commit 77567c5
Which was updated more recently, frigate or ray?
Both got their last push on November 6, 2026.
The proof: blakeblackshear/frigate's commits on GitHub
Which has more commits signed by AI, frigate or ray?
ray: an AI signed 3.6% of its commits, with Claude Code, Gemini CLI, GitHub Copilot, Cursor, and Codex; in frigate, 0.2%.
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