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Analyzed 3 months ago. based on code collected 3 months 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

In a Nutshell, incubator-airflow...

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 )

There are no reported vulnerabilities

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

Languages?height=75&width=75
Python
93%
7 Other
7%

30 Day Summary

Nov 28 2019 — Dec 28 2019

12 Month Summary

Dec 28 2018 — Dec 28 2019
  • 1957 Commits
    Up + 678 (53%) from previous 12 months
  • 465 Contributors
    Up + 43 (10%) from previous 12 months