Community Health Analytics Open Source Software

CHAOSS is a Linux Foundation project focused on creating

analytics and metrics to help define community health

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CHAOSS Working groups

The goal of the working groups is to refine the metrics and to work with software implementations. The workgroups are built around categories of metrics that CHAOSS has identified.

The working groups are:
Common Metrics
Diversity and Inclusion
Evolution
Risk
Value
App Ecosystem

CHAOSS Software

The CHAOSS project includes two software projects:
Augur
GrimoireLab

CHAOSS Initiatives

The CHAOSS project has two active initiatives:
Diversity and Inclusion Badging
Community Health Reports

Interested in working with us? Google is participating in Google Summer of Code 2022! Check out our project ideas!

Recent Posts

August 8, 2022 in News

CHAOSS Weekly (August 1-5 , 2022)

CHAOSSweekly is Back!  Fear not, loyal readers! Your favorite newsletter has returned. As always, you can submit ideas, questions, and comments to the Community Manager (elizabeth@chaoss.community). Let us know how…
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July 19, 2022 in News

CHAOSS Weekly (July 18-24, 2022)

Reminder: CHAOSS Meetings are Back! CHAOSS finished its June 20-July 1 2022 break! CHAOSScon Registration is Open The CfP for CHAOSScon has closed, but registration for the event is open!…
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June 21, 2022 in News

CHAOSS Weekly (June 13-17, 2022)

Reminder: Mid-Year Break from CHAOSS Meetings CHAOSS will be taking a little break from regularly scheduled meetings June 20-July 1 2022, and all regular working group and community meetings will…
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Group Photo CHAOSScon Europe 2020

Image taken at CHAOSScon Europe 2020

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Alfred P. Sloan Foundation Logo

The CHAOSS project is funded in part through a grant from the Alfred P. Soan Foundation. The Alfred P. Sloan Foundation does not support, endorse, or otherwise certify the results of foundation-supported work.

SustainOSS

The CHAOSS community podcast CHAOSScast is funded in full by Sustain. Sustain provides resources and a space for conversations about sustaining Open Source.

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