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rankit

v0.1.4 Experimental

Learning 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
AlgorithmsScienceMathematics #ranking#learning-to-rank#ndcg#lambdarank#ir-eval

Quick Verdict

  • โœ“Actively maintained (updated 49d ago)
  • !Pre-1.0: API may have breaking changes
  • โœ“Permissive license (MIT OR Apache-2.0)

Security

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Downloads
155
Dependents
2
Releases
5
Size
54KB

Deep Insights

๐Ÿ“Š
Stable downloads

40 downloads in the last 30 days (1/day). Volume is roughly flat compared to the previous period.

๐Ÿ‘ค
Prolific maintainer

The primary maintainer publishes 75 crates. This suggests deep Rust expertise and long-term commitment to the ecosystem.

Health Breakdown

Maintenance 10/25

Recency, release consistency, active ratio

Quality 14/25

Yanked ratio, deps, size, maturity, features

Community 7/20

Reverse deps, ownership, ecosystem

Popularity 3/15

Downloads, momentum, growth trend

Documentation 15/15

Docs, repo, license, metadata

Download Trend

Daily downloads ยท last 90 days
0/day avg
02/263/164/34/215/95/26

Top Dependents

Most downloaded crates that depend on rankit

Version Adoption

v0.1.1
36%
v0.1.4
34%
v0.1.2
11%
v0.1.0
10%
v0.1.3
10%

Release Timeline

5 releasessince 2026
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Feature Flags

default =["eval", "losses"]

eval*serdegumbellosses*parallelpipeline

README

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Maintainers

Dependencies
16
direct dependencies
Dependents
2
crates depend on rankit

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