Source: https://seerepo.com/compare/GaiZhenbiao/ChuanhuChatGPT/vs/ray-project/ray
Markdown source: https://seerepo.com/compare/GaiZhenbiao/ChuanhuChatGPT/vs/ray-project/ray.md
Description: ChuanhuChatGPT and ray share 15 technologies: Hugging Face, FastAPI, Gradio, einops, sentencepiece, transformers, torch, LangChain, tiktoken, accelerate, gradio-client, pillow, markdown, openpyxl, and Pydantic. Both are written in Python.

# ChuanhuChatGPT vs ray

ChuanhuChatGPT and ray share 15 technologies: Hugging Face, FastAPI, Gradio, einops, sentencepiece, transformers, torch, LangChain, tiktoken, accelerate, gradio-client, pillow, markdown, openpyxl, and Pydantic. Both are written in Python.

- [GaiZhenbiao/ChuanhuChatGPT](https://seerepo.com/r/GaiZhenbiao/ChuanhuChatGPT): GUI for ChatGPT API and many LLMs. Supports agents, file-based QA, GPT finetuning and query with web search. All with a neat UI.
- [ray-project/ray](https://seerepo.com/r/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.

## What they share and what sets them apart

- In common: Hugging Face, FastAPI, Gradio, einops, sentencepiece, transformers, torch, LangChain, tiktoken, accelerate, gradio-client, pillow, markdown, openpyxl, Pydantic
- Only in ChuanhuChatGPT: OpenAI, Anthropic, auto-gptq, cpm-kernels, faiss-cpu, llama-cpp-python, optimum, sentence-transformers, transformers-stream-generator, langchain-community, langchain-openai, groq, Ollama, pandoc, python-docx, unstructured, pdfplumber, pypdf2
- 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, Google Cloud Storage, Kafka, asgiref, Flask, flask-cors, graphene, graphql-core, graphql-relay, jupyter-core, jupyterlab-server, werkzeug, Ray, starlette, AIOHTTP, Lightning, anyio, tornado, uvicorn, 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, matplotlib, Rich, pydot, alembic, peewee, sqlglot, SQLAlchemy, 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, bitsandbytes, cmdstanpy, crcmod, cupy-cuda12x, cupy-cuda13x, fairscale, gym, llvmlite, lm-eval, ml-dtypes, MLflow, nltk, ONNX, onnxruntime, onnxscript, openai-whisper, opt-einsum, orbax-checkpoint, peft, prophet, rouge-score, sacrebleu, safetensors, scikit-image, skops, tf-keras, timm, tokenizers, torchtext, triton, gymnasium, TensorFlow, jax, torchvision, xgboost, lightgbm, scikit-learn, 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-it-py, markupsafe, mdurl, mistune, moviepy, nbconvert, nh3, pandocfilters, ruamel-yaml, webencodings, xlrd, xmltodict, docutils, jinja2, beautifulsoup4, av, nbformat, torchcodec, annotated-types, fastjsonschema, fqdn, jsonschema-specifications, pathvalidate, 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, 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

| | ChuanhuChatGPT | ray |
|---|---|---|
| Size | 13,835 lines written, 64 code files | 1,531,664 lines written, 2,777 code files |
| Who writes it | 0% of its commits signed by AI | 3.6% of its commits signed by AI. With Claude Code, Gemini CLI, GitHub Copilot, Cursor, and Codex |
| Activity | Last push September 16, 2026, 1,200 commits, 15,244 stars | Last push November 6, 2026, 32,373 commits, 44,213 stars |
| Tests | 0 test files | 2,168 test files. 9.7% of its code files have a test that imports them |

- Size: Lines written by people and agents, without generated ones; code files, without tests.
- Who writes it: A commit counts as AI's when it carries its signature: a Co-Authored-By line, its author name or the merge of its branch.
- Activity: From GitHub and its history, on the day SeeRepo read it.
- Tests: The files that test the code, and the share of code files a test imports.

## Frequently asked questions

### Which is bigger, ChuanhuChatGPT or ray?

ray, with 1,531,664 lines written; ChuanhuChatGPT has 13,835.

The proof: [ray-project/ray's code at commit 77567c5](https://github.com/ray-project/ray/tree/77567c5c5790e9e91aa40a5af93004ef958c2ffc)

### Which has more GitHub stars, ChuanhuChatGPT or ray?

ray, with 44,213 stars; ChuanhuChatGPT has 15,244.

The proof: [ray-project/ray on GitHub](https://github.com/ray-project/ray)

### Which has more tests, ChuanhuChatGPT or ray?

ray, with 2,168 test files.

The proof: [ray-project/ray's code at commit 77567c5](https://github.com/ray-project/ray/tree/77567c5c5790e9e91aa40a5af93004ef958c2ffc)

### Which was updated more recently, ChuanhuChatGPT or ray?

ray: its last push was on November 6, 2026, and ChuanhuChatGPT's on September 16, 2026.

The proof: [ray-project/ray's commits on GitHub](https://github.com/ray-project/ray/commits)

### Which has more commits signed by AI, ChuanhuChatGPT or ray?

ray: an AI signed 3.6% of its commits, with Claude Code, Gemini CLI, GitHub Copilot, Cursor, and Codex.

The proof: [the commits each tool signed in ray-project/ray](https://seerepo.com/r/ray-project/ray/ai)

## Sources

- GaiZhenbiao/ChuanhuChatGPT: Read on November 8, 2026, at commit 2c7d530 (https://github.com/GaiZhenbiao/ChuanhuChatGPT/tree/2c7d5304c215520dbc6077f185fc45d8e0c8d919)
- ray-project/ray: Read on November 6, 2026, at commit 77567c5 (https://github.com/ray-project/ray/tree/77567c5c5790e9e91aa40a5af93004ef958c2ffc)

## What is your repo built with?

Any public repo, with no account: https://seerepo.com/r/owner/repo/built, with the owner and name it has on GitHub.