github Not archived

marcotcr/lime

Lime: Explaining the predictions of any machine learning classifier

Quick read

Stars
12,167
Forks
1,846
Open issues
133
Commits
531

Activity and growth

Latest capture 2026-10-09 03:08

Stars · last 7 days
No history
Commits · last 7 days
No history
Stars since tracking
+34
Stored snapshots
9

Classification

Technology stack

Metadata

Language
JavaScript
License
BSD-2-Clause
Default branch
master
Created
2016-03-15
First commit
2016-03-15
Last pushed
2024-07-25
GitHub updated
2026-10-09
Last synced
2026-10-09 03:08
Stack scanned
2026-10-09 03:08
Archived
No

Archive status reflects the last catalog sync, not a maintenance assessment. Check recent releases, issue responses, and fit for your project with the repository shortlisting checklist.

AI development signals

0 paths

Agent instructions and tool configuration found in this repository.

No config files detected.

Growth history

Tracked growth

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

Stars from first capture +34

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.

TeamHG-Memex/eli5

A library for debugging/inspecting machine learning classifiers and explaining their predictions

2,828 stars
Jupyter Notebook 2 awesome lists

SeldonIO/alibi

Algorithms for explaining machine learning models

2,648 stars
Python 1 awesome list

interpretml/interpret

Fit interpretable models. Explain blackbox machine learning.

6,938 stars
C++ 3 awesome lists

ModelOriented/DALEX

moDel Agnostic Language for Exploration and eXplanation

1,487 stars
Python 1 awesome list

shap/shap

A game theoretic approach to explain the output of any machine learning model.

25,733 stars
Jupyter Notebook 2 awesome lists