libsvm
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Overview
HEALTH SCORE
Critical
24out of 100
Development cadence is the primary crisis signal. Maintainer coverage and security posture show little to offset it. Every health signal is at or near zero.
LIFECYCLE
Declining
Maintainer activity has dropped significantly over the past six months. Only 0 active maintainers remain.
Health breakdown
Critical(24/100)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
No PRs or issues were opened in the review window, so response time could not be measured.
Bus factor
No data available. Repository has not been indexed for bus factor.
Organization Diversity
Contributors span 11 organizations.
Project Achievements
Leaderboards
About
LIBSVM is a widely-used machine learning library that implements Support Vector Machine (SVM) algorithms for classification, regression, and distribution estimation. It provides efficient implementations of various SVM formulations, multi-class classification, cross-validation, and probability estimates.
First commit
Software value
$495K
License(s)
BSD-3-Clause
Data sources
Git
GitHub