Source: https://seerepo.com/compare/ray-project/ray/vs/Unstructured-IO/unstructured
Markdown source: https://seerepo.com/compare/ray-project/ray/vs/Unstructured-IO/unstructured.md
Description: ray and unstructured share 4 technologies: lxml, nh3, beautifulsoup4, and psutil. ray is written in Python and unstructured in HTML.

# ray vs unstructured

ray and unstructured share 4 technologies: lxml, nh3, beautifulsoup4, and psutil. ray is written in Python and unstructured in HTML.

- [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.
- [Unstructured-IO/unstructured](https://seerepo.com/r/Unstructured-IO/unstructured): Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models.  Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.

## What they share and what sets them apart

- In common: lxml, nh3, beautifulsoup4, psutil
- 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, Redis, adlfs, smart-open, pyiceberg, pymysql, clickhouse-connect, deltalake, gcsfs, Celery, fastavro, pyzmq, s3fs, webdataset, Google, Hugging Face, 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, Gradio, 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, 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, mako, markdown, markdown-it-py, markupsafe, mdurl, mistune, moviepy, nbconvert, openpyxl, pandocfilters, ruamel-yaml, webencodings, xlrd, xmltodict, pillow, docutils, jinja2, av, nbformat, torchcodec, annotated-types, fastjsonschema, fqdn, jsonschema-specifications, pathvalidate, pydantic-core, referencing, rfc3339-validator, rfc3986, rfc3986-validator, validators, Pydantic, 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
- Only in unstructured: langdetect, spaCy, unstructured-client, html5lib, python-oxmsg, python-magic, filetype

## Side by side

| | ray | unstructured |
|---|---|---|
| Size | 1,531,664 lines written, 2,777 code files | 285,496 lines written, 315 code files |
| Who writes it | 3.6% of its commits signed by AI. With Claude Code, Gemini CLI, GitHub Copilot, Cursor, and Codex | 2.4% of its commits signed by AI. With Claude Code and GitHub Copilot |
| Activity | Last push November 6, 2026, 32,373 commits, 44,213 stars | Last push November 6, 2026, 2,032 commits, 15,696 stars |
| Tests | 2,168 test files. 9.7% of its code files have a test that imports them | 131 test files. 34.3% 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, ray or unstructured?

ray, with 1,531,664 lines written; unstructured has 285,496.

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

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

ray, with 44,213 stars; unstructured has 15,696.

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

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

ray, with 2,168 test files; unstructured has 131.

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

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

Both got their last push on November 6, 2026.

The proof: [Unstructured-IO/unstructured's commits on GitHub](https://github.com/Unstructured-IO/unstructured/commits)

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

ray: an AI signed 3.6% of its commits, with Claude Code, Gemini CLI, GitHub Copilot, Cursor, and Codex; in unstructured, 2.4%.

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

## Sources

- ray-project/ray: Read on November 6, 2026, at commit 77567c5 (https://github.com/ray-project/ray/tree/77567c5c5790e9e91aa40a5af93004ef958c2ffc)
- Unstructured-IO/unstructured: Read on November 7, 2026, at commit 293d235 (https://github.com/Unstructured-IO/unstructured/tree/293d235cfcd5f5e89c3cc5ff85562005e182ae33)

## 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.