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forester

v0.0.3 Growing

A crate for implementing various flavors of random forests and decision trees.

MIT
Science #tree#machine-learning#random-forest#decision-tree#ensemble

Quick Verdict

  • โœ•Not updated for 7+ years
  • !Pre-1.0: API may have breaking changes
  • โœ“Tiny footprint (18KB, 3 deps)
  • โœ“Permissive license (MIT)

Security

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Downloads
5.3K
Dependents
0
Releases
3
Size
18KB

Deep Insights

๐Ÿ“ˆ
Strong growth momentum

26 downloads in the last 30 days (1/day), up 30% from the previous period.

๐Ÿ”ฌ
Pre-1.0 for over a year

Despite being 7+ years old, forester hasn't reached 1.0 yet. Expect potential API changes between versions.

๐Ÿชถ
Minimal dependencies

Only 3 direct dependencies. Lean dependency tree means faster builds and lower supply chain risk.

๐Ÿ“
Compact crate

At 17KB, forester is lightweight. Small crate size correlates with focused, well-scoped functionality.

Health Breakdown

Maintenance 3/25

Recency, release consistency, active ratio

Quality 15/25

Yanked ratio, deps, size, maturity, features

Community 5/20

Reverse deps, ownership, ecosystem

Popularity 4/15

Downloads, momentum, growth trend

Documentation 11/15

Docs, repo, license, metadata

Download Trend

Daily downloads ยท last 90 days
1/day avg-39%
01234512/291/162/32/213/113/28

Version Adoption

v0.0.3
42%
v0.0.2
29%
v0.0.1
28%

Release Timeline

3 releasessince 2018
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README

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Maintainers

Dependencies
3
direct dependencies
Dependents
0
crates depend on forester

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