github Actively maintained

edublancas/sklearn-evaluation

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

1 awesome list

Quick read

Stars
3
Forks
0
Open issues
0
Commits
832

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
0
Stored snapshots
8

Metadata

License
MIT
Default branch
master
Created
2023-01-15
First commit
2015-09-04
Last pushed
2023-01-15
GitHub updated
2024-01-01
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 0

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.

reiinakano/scikit-plot

An intuitive library to add plotting functionality to scikit-learn objects.

2,433 stars
Python 2 awesome lists

evidentlyai/evidently

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

7,778 stars
Jupyter Notebook 5 awesome lists

huggingface/evaluate

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

2,474 stars
Python 1 awesome list

modelscope/evalscope

A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.

3,177 stars
Python 3 awesome lists

openai/evals

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

19,090 stars
Python 7 awesome lists