Airflow Schedule Insights Plugin
The Airflow Schedule Insights Plugin for Apache Airflow allows you to visualize DAG runs in a Gantt chart, predict future runs, and identify DAGs that won't run, providing a seamless and efficient workflow for managing your pipelines. Enhance your workflow monitoring and planning with intuitive visualizations.
System Requirements
- Airflow Versions: 2.4.0 or newer
How to Install
Add airflow-schedule-insights to your requirements.txt and restart the web server.
How to Use
-
Navigate to
Schedule Insightsin theBrowsetab to access the plugin: -
View all DAG runs in a Gantt chart:
-
Toggle the
Show Future Runs?option to predict the next runs for your DAGs and generate a list of all the DAGs that won't run.Note: All event-driven DAGs (scheduled by datasets and triggers) are predicted only to their next run.
-
Future DAGs will be highlighted in gray on the Gantt chart:
-
A table of future runs will be displayed, with events ordered by their start date:
-
Below this, you will find a table listing all the DAGs that won't run:
1 maintainer
Metadata
1 maintainer
Release files for airflow-schedule-insights 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| airflow_schedule_insights-0.2.0.tar.gz | 15.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| airflow_schedule_insights-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 33.7 kB
Release files / airflow_schedule_insights-0.2.0.tar.gz
| Download URL | airflow_schedule_insights-0.2.0.tar.gz |
|---|---|
| Size | 15.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
53d921428765b0e2652b01f69bda6b40b6d9c39b09acde77987f0347adcea8ff
|
|
BLAKE2b-256 checksum How to use checksums |
4f5b43bfb6b6420354d01c18e38d4a462f2ec68d1e8855f5e3fce551413a0153
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.3.2 CPython/3.10.19 Linux/6.14.0-1017-azure
|
Release files / airflow_schedule_insights-0.2.0-py3-none-any.whl
| Download URL | airflow_schedule_insights-0.2.0-py3-none-any.whl |
|---|---|
| Size | 17.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
f52c1db5c8a842df3d94d9eeafa5a1b1bf60812a38c66c4a32123f30e5c40fdb
|
|
BLAKE2b-256 checksum How to use checksums |
ced17441cdb08f01ba811dcbb9516bc79549108177ea89163ff263a50ca3269b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.3.2 CPython/3.10.19 Linux/6.14.0-1017-azure
|
