airflow vs datahub
airflow and datahub share 12 technologies: FastAPI, Google, AIOHTTP, Vite, React, react-router-dom, beautifulsoup4, Pydantic, jsonschema, psutil, docker, and org.slf4j:slf4j-api. Both are written in Python.
What they share and what sets them apart
apache
airflow
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Python47.4kRead on November 10, 2026, at commit 2b59699What is airflow built with?Only in airflow
- Flask
- aiosqlite
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
pyarrow
- 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
- SQLite
teradatasql
vertica-python
- yandex-query-client
- ydb-dbapi
- apache-airflow-core
flask-appbuilder
- asgiref
cadwyn
uvicorn
werkzeug
- a2wsgi
- Apache
- Rich
rich-click
flask-sqlalchemy
- SQLAlchemy
- alembic
sqlglot
- 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
- pydantic-ai-slim
cohere
- nbconvert
- jinja2
- aiosmtplib
- 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
- OpenTelemetry
- org.apache.airflow:airflow-sdk
python-jenkins
structlog
kubernetes
- boto3
- kubernetes-asyncio
- python-on-whales
- Datadog
- Alibaba Cloud
- colorlog
- org.apache.logging.log4j:log4j-api
- org.apache.logging.log4j:log4j-core
- next-themes
- Chakra UI
- React Hook Form
yaml
In common
datahub-project
datahub
The Context Platform for your Data and AI Stack
Python13kRead on November 10, 2026, at commit 0d9b954What is datahub built with?Only in datahub
- Spring
s3
- spark-sql_2.12
- org.springframework.kafka:spring-kafka
- org.apache.iceberg:iceberg-core
- org.apache.iceberg:iceberg-aws
AWS S3- Google Cloud Storage
- Mixpanel
- Sentry
pyspark
- anyio
- React Router
- history
- click-spinner
- org.springframework.security:spring-security-oauth2-jose
- software.amazon.awssdk:sts
- com.google.auth:google-auth-library-oauth2-http
- software.amazon.awssdk:bedrockruntime
- velocity-engine-core
- io.swagger.parser.v3:swagger-parser
- log4j-core
loguru
- org.apache.logging.log4j:log4j-jul
- python-json-logger
- slf4j-log4j12
- software.amazon.awssdk:regions
- ch.qos.logback:logback-classic
- ch.qos.logback:logback-core
- styled-components
- Ant Design
antd
- reactflow
- visx
@remirror/react
react-intersection-observer
dnd-kit
@monaco-editor/react
- rc-table
- react-helmet-async
- react-js-cron
react-color
@floating-ui/react-dom
- D3
react-diff-viewer
react-syntax-highlighter
react-window
- virtualizedtableforantd4
- @phosphor-icons/react
- @ant-design/icons
- dompurify
- js-yaml
- html-to-image
- mammoth
marked
- turndown-plugin-gfm
- opentelemetry
Side by side
airflowdatahub
SizeLines written by people and agents, without generated ones; code files, without tests.
airflow2,186,846 lines written4,688 code files
datahub2,991,794 lines written8,430 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.
airflow0.8% of its commits signed by AIWith Claude Code, GitHub Copilot, Cursor, and Devin
datahub8.2% of its commits signed by AIWith Cursor, Claude Code, CodeRabbit, GitHub Copilot, and Devin
ActivityFrom GitHub and its history, on the day SeeRepo read it.
airflowLast push November 10, 202641,951 commits47,436 stars
datahubLast push November 10, 202616,381 commits12,975 stars
TestsThe files that test the code, and the share of code files a test imports.
airflow4,994 test files52.8% of its code files have a test that imports them
datahub5,307 test files54% of its code files have a test that imports them
Frequently asked questions
Which is bigger, airflow or datahub?
datahub, with 2,991,794 lines written; airflow has 2,186,846.
Which has more GitHub stars, airflow or datahub?
airflow, with 47,436 stars; datahub has 12,975.
The proof: apache/airflow on GitHub
Which has more tests, airflow or datahub?
datahub, with 5,307 test files; airflow has 4,994.
Which was updated more recently, airflow or datahub?
Both got their last push on November 10, 2026.
The proof: apache/airflow's commits on GitHub
Which has more commits signed by AI, airflow or datahub?
datahub: an AI signed 8.2% of its commits, with Cursor, Claude Code, CodeRabbit, GitHub Copilot, and Devin; in airflow, 0.8%.
The proof: the commits each tool signed in datahub-project/datahub
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