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ferrolearn-core

v0.4.0 Experimental

Core traits, error types, and pipeline for the ferrolearn ML framework

MIT OR Apache-2.0 Edition 2024 MSRV 1.85
AlgorithmsScience #machine-learning#traits#ml#pipeline#ferrolearn

Quick Verdict

  • โœ“Actively maintained (updated 12d ago)
  • !Pre-1.0: API may have breaking changes
  • โœ“Trusted by 116 crates
  • โœ“Team maintained (3 owners)
  • โœ“Permissive license (MIT OR Apache-2.0)

Security

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Downloads
982
Dependents
116
Releases
8
Size
47KB

Deep Insights

๐Ÿ“ˆ
Strong growth momentum

453 downloads in the last 30 days (15/day), up 114% from the previous period.

๐Ÿ”—
Moderate adoption

116 crates depend on ferrolearn-core. Reasonable ecosystem adoption, though not yet a core dependency.

๐Ÿ‘ค
Prolific maintainer

The primary maintainer publishes 101 crates. This suggests deep Rust expertise and long-term commitment to the ecosystem.

๐Ÿ“
Compact crate

At 46KB, ferrolearn-core is lightweight. Small crate size correlates with focused, well-scoped functionality.

๐ŸŒŸ
Used by top crates

Notable dependents include ferrolearn-decomp, ferrolearn-preprocess, ferrolearn-neighbors, ferrolearn-metrics, ferrolearn-linear. When high-quality crates choose ferrolearn-core, it's a strong quality signal.

Health Breakdown

Maintenance 12/25

Recency, release consistency, active ratio

Quality 15/25

Yanked ratio, deps, size, maturity, features

Community 17/20

Reverse deps, ownership, ecosystem

Popularity 4/15

Downloads, momentum, growth trend

Documentation 12/15

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

v0.2.0
39%
v0.3.0
19%
v0.1.3
16%
v0.1.0
14%
v0.4.0
13%

Release Timeline

8 releasessince 2026
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Feature Flags

default =["std", "faer"]

std*blasfaer*

README

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Maintainers

Dependencies
5
direct dependencies
Dependents
116
crates depend on ferrolearn-core

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