github Actively maintained

benhamner/Metrics

Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

1 awesome list

Quick read

Stars
1,650
Forks
452
Open issues
36
Commits
242

Activity and growth

Latest capture 2026-08-22 03:08

Stars · last 7 days
No history
Commits · last 7 days
No history
Stars since tracking
-1
Stored snapshots
8

Metadata

Language
Python
License
NOASSERTION
Default branch
master
Created
2012-06-12
First commit
2012-06-12
Last pushed
2023-01-11
GitHub updated
2026-08-17
Last synced
2026-08-22 03:08
Stack scanned
2026-08-22 03:08
Archived
No

AI development signals

0 paths

Agent instructions and tool configuration found in this repository.

No config files detected.

Growth history

Tracked growth

8 observed captures since 2026-05-22. Observed captures are shown by default.

Stars from first capture -1

Chart data

Observed captures only

Time horizon

All tracked data

Custom date range

Stars history

Observed snapshots

Commits history

Observed snapshots

Similar repositories

Nearest indexed repositories by embedding similarity.

huggingface/evaluate

🤗 Evaluate: A library for easily evaluating machine learning models and datasets.

2,474 stars
Python 1 awesome list

Lightning-AI/torchmetrics

Machine learning metrics for distributed, scalable PyTorch applications.

2,453 stars
Python 1 awesome list

edublancas/sklearn-evaluation

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

3 stars
1 awesome list