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rankit
v0.1.3 ExperimentalLearning to Rank: differentiable ranking, LTR losses (RankNet, LambdaRank, ApproxNDCG, ListNet, ListMLE), trainers, and IR evaluation metrics
MIT OR Apache-2.0 Edition 2021 MSRV 1.74
Quick Verdict
- ✓Actively maintained (updated 15d ago)
- !Pre-1.0: API may have breaking changes
- ✓Permissive license (MIT OR Apache-2.0)
Security
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Downloads
73
Dependents
0
Releases
4
Size
43KB
Deep Insights
📊
Download activity
73 downloads in the last 30 days (2/day avg).
👤
Prolific maintainer
The primary maintainer publishes 62 crates. This suggests deep Rust expertise and long-term commitment to the ecosystem.
📐
Compact crate
At 42KB, rankit is lightweight. Small crate size correlates with focused, well-scoped functionality.
Health Breakdown
Maintenance 13/25
Recency, release consistency, active ratio
Quality 15/25
Yanked ratio, deps, size, maturity, features
Community 6/20
Reverse deps, ownership, ecosystem
Popularity 2/15
Downloads, momentum, growth trend
Documentation 15/15
Docs, repo, license, metadata
Download Trend
Daily downloads · last 90 days
1/day avg
Version Adoption
v0.1.1
36%
v0.1.2
23%
v0.1.0
21%
v0.1.3
21%
Release Timeline
4 releasessince 2026
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LessMore
Feature Flags
default =["eval", "losses"]
eval*serdegumbellosses*parallelpipeline
README
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Maintainers
Dependencies
15
direct dependencies
Dependents
0
crates depend on rankit