Marian
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Overview
HEALTH SCORE
Concerning
41out of 100
Development cadence is the lead risk. Security posture and maintainer coverage are present but not enough to offset the structural risk.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Concerning(41/100)
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 4 organizations.
Project Achievements
Leaderboards
About
Marian is an efficient Neural Machine Translation framework written in pure C++ with minimal dependencies. It is production-ready and has been used in major translation services. The framework focuses on fast training and translation speed while maintaining high accuracy.
First commit
Software value
$12M
Tags
cpp11
cuda
fast
gpu-acceleration
neural-machine-translation
License(s)
Other
Data sources
Git
GitHub