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flow-clustering

v0.1.1 Experimental

Clustering algorithms for flow cytometry: K-means, DBSCAN, GMM

MIT Edition 2024
AlgorithmsScience #clustering#kmeans#dbscan#flow-cytometry#gmm

Quick Verdict

  • โœ“Actively maintained (updated 63d ago)
  • !Pre-1.0: API may have breaking changes
  • โœ“Permissive license (MIT)

Security

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Downloads
34
Dependents
0
Releases
2
Size
13KB

Deep Insights

๐Ÿ“ˆ
Strong growth momentum

6 downloads in the last 30 days (0/day), up 100% from the previous period.

๐Ÿ“
Compact crate

At 12KB, flow-clustering is lightweight. Small crate size correlates with focused, well-scoped functionality.

Health Breakdown

Maintenance 10/25

Recency, release consistency, active ratio

Quality 15/25

Yanked ratio, deps, size, maturity, features

Community 6/20

Reverse deps, ownership, ecosystem

Popularity 2/15

Downloads, momentum, growth trend

Documentation 10/15

Docs, repo, license, metadata

Download Trend

Daily downloads ยท last 90 days
0/day avg
04/265/146/16/197/77/24

Version Adoption

v0.1.1
56%
v0.1.0
44%

Release Timeline

2 releasessince 2026
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2026
2
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Feature Flags

default =["kmeans", "dbscan", "gmm"]

gmm*dbscan*kmeans*

README

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Maintainers

Dependencies
7
direct dependencies
Dependents
0
crates depend on flow-clustering

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