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rkhs

v0.1.3 Experimental

Reproducing Kernel Hilbert Space: kernels, MMD, and Dense Associative Memory (LSE/LSR energy)

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

Quick Verdict

  • โœ“Actively maintained (updated 15d ago)
  • !Pre-1.0: API may have breaking changes
  • โœ“Permissive license (MIT OR Apache-2.0)

Security

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Downloads
153
Dependents
13
Releases
4
Size
40KB

Deep Insights

๐Ÿ“ˆ
Strong growth momentum

138 downloads in the last 30 days (5/day), up 3350% from the previous period.

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Prolific maintainer

The primary maintainer publishes 62 crates. This suggests deep Rust expertise and long-term commitment to the ecosystem.

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Compact crate

At 39KB, 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 12/25

Recency, release consistency, active ratio

Quality 13/25

Yanked ratio, deps, size, maturity, features

Community 9/20

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
2/day avg+351%
0510152012/291/162/32/213/113/28

Top Dependents

Version Adoption

v0.1.3
44%
v0.1.0
24%
v0.1.1
17%
v0.1.2
15%

Release Timeline

4 releasessince 2026
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README

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Maintainers

Dependencies
6
direct dependencies
Dependents
13
crates depend on rkhs

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