Source: https://seerepo.com/compare/Canner/WrenAI/vs/ray-project/ray Markdown source: https://seerepo.com/compare/Canner/WrenAI/vs/ray-project/ray.md Description: WrenAI and ray share 9 technologies: pyarrow, Rich, sqlglot, cryptography, pyjwt, LangChain, lxml, Pydantic, and boto3. WrenAI is written in Rust and ray in Python. # WrenAI vs ray WrenAI and ray share 9 technologies: pyarrow, Rich, sqlglot, cryptography, pyjwt, LangChain, lxml, Pydantic, and boto3. WrenAI is written in Rust and ray in Python. - [Canner/WrenAI](https://seerepo.com/r/Canner/WrenAI): GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more. - [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: pyarrow, Rich, sqlglot, cryptography, pyjwt, LangChain, lxml, Pydantic, boto3 - Only in WrenAI: datafusion, DuckDB, object_store, opendal, Tokio, arrow, pydantic-ai, LangGraph, csv, loguru, log, env_logger, parquet - 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, 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, pydot, alembic, peewee, SQLAlchemy, argon2-cffi, argon2-cffi-bindings, azure-identity, flask-basicauth, google-auth-oauthlib, itsdangerous, 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, 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, nh3, openpyxl, pandocfilters, ruamel-yaml, webencodings, xlrd, xmltodict, pillow, 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, 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 | | WrenAI | ray | |---|---|---| | Size | 105,033 lines written, 173 code files | 1,531,664 lines written, 2,777 code files | | Who writes it | 5.3% of its commits signed by AI. With Claude Code and CodeRabbit | 3.6% of its commits signed by AI. With Claude Code, Gemini CLI, GitHub Copilot, Cursor, and Codex | | Activity | Last push November 6, 2026, 2,758 commits, 18,095 stars | Last push November 6, 2026, 32,373 commits, 44,213 stars | | Tests | 155 test files. 46.8% of its code files have a test that imports them | 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, WrenAI or ray? ray, with 1,531,664 lines written; WrenAI has 105,033. The proof: [ray-project/ray's code at commit 77567c5](https://github.com/ray-project/ray/tree/77567c5c5790e9e91aa40a5af93004ef958c2ffc) ### Which has more GitHub stars, WrenAI or ray? ray, with 44,213 stars; WrenAI has 18,095. The proof: [ray-project/ray on GitHub](https://github.com/ray-project/ray) ### Which has more tests, WrenAI or ray? ray, with 2,168 test files; WrenAI has 155. The proof: [ray-project/ray's code at commit 77567c5](https://github.com/ray-project/ray/tree/77567c5c5790e9e91aa40a5af93004ef958c2ffc) ### Which was updated more recently, WrenAI or ray? Both got their last push on November 6, 2026. The proof: [Canner/WrenAI's commits on GitHub](https://github.com/Canner/WrenAI/commits) ### Which has more commits signed by AI, WrenAI or ray? WrenAI: an AI signed 5.3% of its commits, with Claude Code and CodeRabbit; in ray, 3.6%. The proof: [the commits each tool signed in Canner/WrenAI](https://seerepo.com/r/Canner/WrenAI/ai) ## Sources - Canner/WrenAI: Read on November 6, 2026, at commit 548eee3 (https://github.com/Canner/WrenAI/tree/548eee3e864b11e7f11eee15ae82be178a295f22) - 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.