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MetisFL is a federated learning framework that allows developers to easily federate their machine learning workflows and train their models across distributed data without ever collecting the data in a centralized location. The core of the framework is written in C++ and focuses on scalability, speed and resiliency.

active 2023-09-08 → 2023-11-05 (UTC)

Complete coverage27,775 / 27,775 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-15 (UTC)
Events
241
Pushes
86
Pull requests
9
Issues
5
Stars
103
Forks
13

Activity over time

Daily event counts in the loaded window

Line chart, 59 days from 2023-09-08 to 2023-11-05. Pushes: 86 total, peak 11 in a day. Pull requests: 9 total, peak 4 in a day. Issues: 5 total, peak 1 in a day. Comments: 11 total, peak 3 in a day. Stars: 103 total, peak 13 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
panoskyriakis928072
stripeli7601
nkanak3021
mertbozkir2002
HashemAlsaket2001
atharvajoshi102001
BhushanMahajan251001
stripelis1001
yashmaurya011001

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 103 stars here means stars gained during the window, not the repo's star count.