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rkhs

v0.2.1 Experimental

Reproducing Kernel Hilbert Space: kernels, MMD, and kernel quantile embeddings (re-exports hopfield for AM)

MIT OR Apache-2.0 Edition 2021
AlgorithmsScienceMathematics #kernel#machine-learning#mmd#associative-memory#rkhs

Quick Verdict

  • โœ“Actively maintained (updated 39d ago)
  • !Pre-1.0: API may have breaking changes
  • โœ“Permissive license (MIT OR Apache-2.0)

Security

Checking security advisories...
Downloads
385
Dependents
20
Releases
6
Size
48KB

Deep Insights

๐Ÿ“‰
Download decline

92 downloads in the last 30 days, down 37% from the previous period. May indicate migration to alternatives.

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Prolific maintainer

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

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Compact crate

At 47KB, rkhs is lightweight. Small crate size correlates with focused, well-scoped functionality.

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Used by top crates

Notable dependents include logp, sheaf, flowmatch, parti. When high-quality crates choose rkhs, it's a strong quality signal.

Health Breakdown

Maintenance 17/25

Recency, release consistency, active ratio

Quality 12/25

Yanked ratio, deps, size, maturity, features

Community 10/20

Reverse deps, ownership, ecosystem

Popularity 3/15

Downloads, momentum, growth trend

Documentation 13/15

Docs, repo, license, metadata

Download Trend

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

Top Dependents

Version Adoption

v0.1.3
42%
v0.1.0
21%
v0.2.1
20%
v0.2.0
10%
v0.1.1
7%

Release Timeline

6 releasessince 2026
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README

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Maintainers

Dependencies
8
direct dependencies
Dependents
20
crates depend on rkhs

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