airflow vs plotly.py
airflow and plotly.py share 4 technologies: pyarrow, nbconvert, jinja2, and psutil. 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 5, 2026, at commit 322c178What is airflow built with?Only in airflow
- FastAPI
- Flask
- aiosqlite
- azure-search-documents
- azure-storage-blob
confluent-kafka
- ibm-db
- influxdb3-python
pgvector
- presto-python-client
psycopg
psycopg2-binary
- pymongo
python-arango
- Redis
snowflake-sqlalchemy
weaviate-client
- Celery
oracledb
pyiceberg
- DuckDB
pinecone
- pymssql
clickhouse-connect
- gcloud-aio-storage
- gcsfs
- Neo4j
- pymysql
- SQLite
flask-appbuilder
- asgiref
- AIOHTTP
uvicorn
werkzeug
- a2wsgi
- Apache
- Vite
- React
react-router-dom
- Rich
flask-sqlalchemy
- SQLAlchemy
- alembic
sqlglot
- azure-identity
flask-session
- google-auth
- pyspnego
- pyjwt
- cryptography
- flask-login
- keyring
google-auth-httplib2
google-auth-oauthlib
- azure-ai-projects
- pydantic-ai-slim
cohere
- aiosmtplib
- beautifulsoup4
- icalendar
sendgrid
flask-wtf
- Pydantic
wtforms
- jsonschema
msgspec
marshmallow
- azure-mgmt-containerinstance
- azure-mgmt-resource
- Flower
- OpenTelemetry
structlog
kubernetes
- boto3
- kubernetes-asyncio
- python-on-whales
- docker
- Alibaba Cloud
- colorlog
- org.apache.logging.log4j:log4j-api
- org.apache.logging.log4j:log4j-core
- org.slf4j:slf4j-api
- next-themes
- Chakra UI
- React Hook Form
yaml
In common
plotly
plotly.py
The interactive graphing library for Python :sparkles:
Python18.9kRead on November 6, 2026, at commit bcc6863What is plotly.py built with?Only in plotly.py
- Plotly
- scikit-learn
umap-learn
scikit-image
- jupytext
- recommonmark
@lumino/widgets
Side by side
airflowplotly.py
SizeLines written by people and agents, without generated ones; code files, without tests.
airflow2,200,257 lines written4,596 code files
plotly.py534,516 lines written1,522 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.
airflow0.7% of its commits signed by AIWith Claude Code, GitHub Copilot, Cursor, and Devin
plotly.py0.5% of its commits signed by AIWith Claude Code, Codex, and GitHub Copilot
ActivityFrom GitHub and its history, on the day SeeRepo read it.
airflowLast push November 5, 202641,804 commits47,376 stars
plotly.pyLast push November 3, 20267,140 commits18,878 stars
TestsThe files that test the code, and the share of code files a test imports.
airflow4,949 test files53.3% of its code files have a test that imports them
plotly.py155 test files1.2% of its code files have a test that imports them
Frequently asked questions
Which is bigger, airflow or plotly.py?
airflow, with 2,200,257 lines written; plotly.py has 534,516.
The proof: apache/airflow's code at commit 322c178
Which has more GitHub stars, airflow or plotly.py?
airflow, with 47,376 stars; plotly.py has 18,878.
The proof: apache/airflow on GitHub
Which has more tests, airflow or plotly.py?
airflow, with 4,949 test files; plotly.py has 155.
The proof: apache/airflow's code at commit 322c178
Which was updated more recently, airflow or plotly.py?
airflow: its last push was on November 5, 2026, and plotly.py's on November 3, 2026.
The proof: apache/airflow's commits on GitHub
Which has more commits signed by AI, airflow or plotly.py?
airflow: an AI signed 0.7% of its commits, with Claude Code, GitHub Copilot, Cursor, and Devin; in plotly.py, 0.5%.
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