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cortenforge-models

v0.6.0 Experimental

Burn-based model definitions (LinearDetector/ConvolutionalDetector) for the CortenForge stack.

Apache-2.0 Edition 2021 MSRV 1.75
Data structuresScienceComputer vision #ml#burn#detector#models

Quick Verdict

  • !Pre-1.0: API may have breaking changes
  • โœ“Tiny footprint (35KB, 2 deps)
  • โœ“Permissive license (Apache-2.0)

Security

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Downloads
652
Dependents
43
Releases
14
Size
35KB

Deep Insights

๐Ÿ“Š
Stable downloads

72 downloads in the last 30 days (2/day). Volume is roughly flat compared to the previous period.

๐Ÿชถ
Minimal dependencies

Only 2 direct dependencies. Lean dependency tree means faster builds and lower supply chain risk.

๐Ÿ“
Compact crate

At 34KB, cortenforge-models is lightweight. Small crate size correlates with focused, well-scoped functionality.

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Used by top crates

Notable dependents include cortenforge-inference, cortenforge-training, cortenforge. When high-quality crates choose cortenforge-models, it's a strong quality signal.

Health Breakdown

Maintenance 16/25

Recency, release consistency, active ratio

Quality 16/25

Yanked ratio, deps, size, maturity, features

Community 10/20

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

Version Adoption

v0.6.0
81%
v0.5.0
6%
v0.1.5
5%
v0.2.1
4%
v0.3.0
4%

Release Timeline

10 releasessince 2026
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Feature Flags

default =["linear_detector"]

linear_detector*convolutional_detector

README

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Maintainers

Dependencies
2
direct dependencies
Dependents
43
crates depend on cortenforge-models

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