Aircal
Visualize Airflow's schedule by exporting future DAG runs as events to Google Calendar.
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Update: The library is not actively maintained. In case of issues, you might be on your own. However, you're free to open a PR :)
Aircal
This library helps visualizing Airflow's DAG run schedule. It does that by exporting future DAG runs as events to Google Calendar.
Having DAG run as events in the calendar might help you:
- visualize the utilization of your airflow workers to better spread your jobs
- determine when a certain DAG should be finished to monitor the service.
The library will also observe the changes to your DAGs and synchronize it with the calendar:
- add runs for the freshly added DAGs
- change start and/or end time when an existing DAG changes the schedule (or the execution time changes significantly)
- delete run events when a DAG is removed (or paused)
Tip: run the sync script regularly, perhaps, with you know, Airflow :)
The library only support DAG schedules that use the standard cron syntax. The rest will be ignored (with a warning).
Warning: This is an beta stage software. Expect occassional bugs and rough edges (PR welcome).
Installation & setup
pip install aircalAlternatively you can clone the repo and install it from there:
pip install -e .Google API credentials are required to create events in the calendar. You can obtain them here. Store credentials.json into a directory accessible by your code.
The library is modifying and deleting calendar events. I highly recommend creating a new calendar to be used by this software: "add calendar" -> "create new calendar" in Google calendar settings.
Usage
See example.py for an example of the potential pipeline that can be run on the regular intervals.
Don't lose this
Three weeks from now, you'll want Aircal again. Will you remember where to find it?
Save it to your library and the next time you need Aircal, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. Visualize Airflow's schedule by exporting future DAG runs as events to Google Calendar. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
What's New
Imported from GitHub
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