Source: https://seerepo.com/compare/apache/airflow/vs/Arize-ai/phoenix
Markdown source: https://seerepo.com/compare/apache/airflow/vs/Arize-ai/phoenix.md
Description: airflow and phoenix share 17 technologies: FastAPI, aiosqlite, pyarrow, SQLite, uvicorn, Vite, React, SQLAlchemy, alembic, sqlglot, pydantic-ai-slim, jinja2, Pydantic, jsonschema, OpenTelemetry, psutil, and React Hook Form. airflow is written in Python and phoenix in TypeScript.

# airflow vs phoenix

airflow and phoenix share 17 technologies: FastAPI, aiosqlite, pyarrow, SQLite, uvicorn, Vite, React, SQLAlchemy, alembic, sqlglot, pydantic-ai-slim, jinja2, Pydantic, jsonschema, OpenTelemetry, psutil, and React Hook Form. airflow is written in Python and phoenix in TypeScript.

- [apache/airflow](https://seerepo.com/r/apache/airflow): Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
- [Arize-ai/phoenix](https://seerepo.com/r/Arize-ai/phoenix): AI Observability & Evaluation

## What they share and what sets them apart

- In common: FastAPI, aiosqlite, pyarrow, SQLite, uvicorn, Vite, React, SQLAlchemy, alembic, sqlglot, pydantic-ai-slim, jinja2, Pydantic, jsonschema, OpenTelemetry, psutil, React Hook Form
- Only in airflow: Flask, apache-airflow-providers-common-compat, apache-airflow-providers-common-sql, apache-airflow-providers-postgres, azure-cosmos, azure-datalake-store, azure-kusto-data, azure-mgmt-cosmosdb, azure-mgmt-datalake-store, azure-mgmt-storage, azure-search-documents, azure-servicebus, azure-storage-blob, azure-storage-file-datalake, azure-storage-file-share, azure-synapse-artifacts, azure-synapse-spark, cassandra-driver, confluent-kafka, gremlinpython, ibm-db, ibm-db-sa, impyla, influxdb3-python, pgvector, presto-python-client, psycopg, psycopg2-binary, pymongo, pyodps, pyspark-client, python-arango, pyvespa, Redis, snowflake-sqlalchemy, sqlalchemy-drill, teradatasqlalchemy, weaviate-client, Celery, oracledb, pyiceberg, DuckDB, fastavro, hdfs, kylinpy, pinecone, pymssql, Trino, ydb, adbc-driver-manager, adlfs, clickhouse-connect, gcloud-aio-bigquery, gcloud-aio-storage, gcsfs, hmsclient, ibmcloudant, jaydebeapi, Neo4j, pinotdb, pydruid, pyexasol, pyhive, pymysql, pyodbc, teradatasql, vertica-python, yandex-query-client, ydb-dbapi, Google, apache-airflow-core, flask-appbuilder, asgiref, cadwyn, AIOHTTP, werkzeug, a2wsgi, Apache, react-router-dom, Rich, rich-click, flask-sqlalchemy, azure-identity, azure-keyvault-secrets, flask-session, google-auth, microsoft-kiota-authentication-azure, msal-extensions, pyspnego, python-keycloak, spnego, pyjwt, cryptography, flask-login, gcloud-aio-auth, hvac, keyring, google-auth-httplib2, google-auth-oauthlib, azure-ai-projects, cohere, nbconvert, aiosmtplib, beautifulsoup4, icalendar, sendgrid, flask-wtf, wtforms, msgspec, marshmallow, airflow-sdk-jul, airflow-sdk-log4j2, airflow-sdk-slf4j, apache-airflow-providers-cncf-kubernetes, apache-airflow-providers-ssh, apache-airflow-providers-standard, azure-batch, azure-mgmt-compute, azure-mgmt-containerinstance, azure-mgmt-containerregistry, azure-mgmt-datafactory, azure-mgmt-resource, Flower, org.apache.airflow:airflow-sdk, python-jenkins, structlog, kubernetes, boto3, kubernetes-asyncio, python-on-whales, Datadog, docker, Alibaba Cloud, colorlog, org.apache.logging.log4j:log4j-api, org.apache.logging.log4j:log4j-core, org.slf4j:slf4j-api, next-themes, Chakra UI, yaml
- Only in phoenix: starlette, fastmcp-slim, graphql-core, strawberry-graphql, react-relay, React Router, OpenAI, pydata-sphinx-theme, sphinx-design, openinference-semantic-conventions, openinference-instrumentation, linkify-it-py, myst-parser, pystache, opentelemetry-semantic-conventions, opentelemetry-api, @emotion/react, polished, @uiw/codemirror-themes, react-aria-components, react-aria, TanStack, recharts, CodeMirror, react-resizable-panels, react-hotkeys-hook, @uiw/react-codemirror, dnd-kit, motion, json-render, react-stately, @lezer/highlight, @paper-design/shaders-react, D3, react-error-boundary, @streamdown/code, codemirror-json-schema, react-resizable, use-stick-to-bottom, ai, @arizeai/openinference-semantic-conventions, @ai-sdk/react, streamdown, mustache, Zod, @hookform/resolvers, @clack/prompts, ink, marked, marked-terminal

## Side by side

| | airflow | phoenix |
|---|---|---|
| Size | 2,186,846 lines written, 4,688 code files | 1,011,392 lines written, 3,045 code files |
| Who writes it | 0.8% of its commits signed by AI. With Claude Code, GitHub Copilot, Cursor, and Devin | 5.4% of its commits signed by AI. With Claude Code, Cursor, GitHub Copilot, and Factory |
| Activity | Last push November 10, 2026, 41,951 commits, 47,436 stars | Last push November 11, 2026, 10,411 commits, 12,244 stars |
| Tests | 4,994 test files. 52.8% of its code files have a test that imports them | 1,083 test files. 27.7% 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, airflow or phoenix?

airflow, with 2,186,846 lines written; phoenix has 1,011,392.

The proof: [apache/airflow's code at commit 2b59699](https://github.com/apache/airflow/tree/2b59699b0fe9683c418806a334b47077513bde5a)

### Which has more GitHub stars, airflow or phoenix?

airflow, with 47,436 stars; phoenix has 12,244.

The proof: [apache/airflow on GitHub](https://github.com/apache/airflow)

### Which has more tests, airflow or phoenix?

airflow, with 4,994 test files; phoenix has 1,083.

The proof: [apache/airflow's code at commit 2b59699](https://github.com/apache/airflow/tree/2b59699b0fe9683c418806a334b47077513bde5a)

### Which was updated more recently, airflow or phoenix?

phoenix: its last push was on November 11, 2026, and airflow's on November 10, 2026.

The proof: [Arize-ai/phoenix's commits on GitHub](https://github.com/Arize-ai/phoenix/commits)

### Which has more commits signed by AI, airflow or phoenix?

phoenix: an AI signed 5.4% of its commits, with Claude Code, Cursor, GitHub Copilot, and Factory; in airflow, 0.8%.

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

## Sources

- apache/airflow: Read on November 10, 2026, at commit 2b59699 (https://github.com/apache/airflow/tree/2b59699b0fe9683c418806a334b47077513bde5a)
- Arize-ai/phoenix: Read on November 11, 2026, at commit 5a33185 (https://github.com/Arize-ai/phoenix/tree/5a3318534df5aa235221b58e5aa55210001394c2)

## 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.