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Analyzed about 14 hours ago. based on code collected 1 day ago.

Project Summary

Airflow is a platform to programmatically author, schedule, and monitor workflows.

When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.

Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed.

Tags

dag monitoring python scheduler workflow

Apache License 2.0
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These details are provided for information only. No information here is legal advice and should not be used as such.

Project Security

Vulnerabilities per Version ( last 10 releases )

Project Vulnerability Report

Security Confidence Index

Poor security track-record
Favorable security track-record

Vulnerability Exposure Index

Many reported vulnerabilities
Few reported vulnerabilities

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About Project Security

Languages

Python
95%
9 Other
5%

30 Day Summary

Apr 19 2024 — May 19 2024

12 Month Summary

May 19 2023 — May 19 2024
  • 4696 Commits
    Up + 1075 (29%) from previous 12 months
  • 563 Contributors
    Down -31 (5%) from previous 12 months

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