AwesomeDataviz

LIT

Learning Interpretability Tool: interactive visual analysis of ML model behavior, by Google PAIR.

Website GitHubPyPI
GitHub stars
3.7K
PyPI downloads / week
1.3K
Commits, last 12 months
0
Contributors
37
Last commit
Latest release
v1.3.1Dec 20, 2024

Overview

LIT is an open-source ML visualization tool released under the Apache-2.0 license. Its GitHub repository has 3,668 stars, 366 forks, and 37 contributors. It has not had a commit since Dec 20, 2024. The latest release, v1.3.1, was published on Dec 20, 2024. On PyPI it is downloaded about 1.3K times per week.

Its GitHub description: The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.

GitHub topics: machine-learningnatural-language-processingvisualization

Install

PyPI
pip install lit-nlp
v1.3.1

Development activity

Commits per month to the default branch over the last 12 complete months.

01 Oct 2025 Nov Dec Jan 2026 Feb Mar Apr May Jun Jul Aug Sep
01 Oct 2025 Jan 2026 Apr Jul
0 commits from Oct 2025 to Sep 2026.
Show data as a table
MonthCommits
Oct 20250
Nov 20250
Dec 20250
Jan 20260
Feb 20260
Mar 20260
Apr 20260
May 20260
Jun 20260
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Popularity among Machine learning visualization tools

Netron 33.5K PlotNeuralNet 25K Opik 22.4K Phoenix 11.7K FiftyOne 11.1K Visdom 10.3K LIT 3.7K
Netron 33.5K PlotNeuralNet 25K Opik 22.4K Phoenix 11.7K FiftyOne 11.1K Visdom 10.3K LIT 3.7K
GitHub stars for LIT and the most-starred alternatives.
Show data as a table
ToolStars
Netron33,544
PlotNeuralNet25,009
Opik22,373
Phoenix11,704
FiftyOne11,143
Visdom10,318
LIT3,668

Alternatives to LIT

  • Netron

    Viewer for neural network, deep learning and machine learning models.

    33.5K starsJavaScriptMIT

  • PlotNeuralNet

    LaTeX code for drawing neural network architecture diagrams.

    25K starsTeXMIT

  • Opik

    Formerly CometLLM. Debug, evaluate, and monitor LLM applications with tracing and dashboards.

    22.4K starsPythonApache-2.0

  • Phoenix

    ML observability in a notebook with UMAP visualizations

    11.7K starsPythonElastic-2.0

  • FiftyOne

    Tool for visualizing, curating and evaluating computer vision datasets and models.

    11.1K starsTypeScriptApache-2.0

  • Visdom

    Tool for real-time visualization and monitoring of live data such as ML experiments.

    10.3K starsPythonApache-2.0

LIT FAQ

Is LIT open source?

Yes. LIT is released under the Apache-2.0 license, and its source code is on GitHub.

Is LIT still maintained?

It appears inactive: the latest commit was on Dec 20, 2024, over a year ago. It may still work well, but expect fewer fixes and updates.

How do I install LIT?

From PyPI: pip install lit-nlp.

What are the best alternatives to LIT?

The most popular alternatives listed in Machine learning visualization tools are Netron, PlotNeuralNet, and Opik. See the full ranking.

What language is LIT written in?

LIT is primarily written in TypeScript, according to GitHub.

Data: GitHub API, PyPI. Updated Oct 4, 2026.