# Comet

> An MLOps platform for tracking, visualizing, and debugging your machine learning workflows from training straight through to production.

- Category: [Machine learning visualization tools](https://awesomedataviz.com/categories/machine-learning/)
- Repository: https://github.com/comet-ml/comet-examples
- License: MIT
- Language: Jupyter Notebook
- Status: Active (commits in the last 90 days)
- GitHub stars: 175
- Commits in the last 12 months: 38
- Contributors: 26
- Last commit: Aug 12, 2026
- Install (PyPI): `pip install comet-ml`, 77.5K downloads per week
- Topics: Machine learning & AI visualization

## Overview

Comet is an open-source ML visualization tool released under the MIT license. Its GitHub repository has 175 stars, 69 forks, and 26 contributors. It is actively developed with 38 commits in the last 12 months. On PyPI it is downloaded about 77.5K times per week.

## Alternatives

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- [Visdom](https://awesomedataviz.com/tools/visdom/): Tool for real-time visualization and monitoring of live data such as ML experiments. (10.3K stars)

Source: https://awesomedataviz.com/tools/comet/ · Data updated 2026-10-04 · Content: CC BY 4.0, Awesome Dataviz (https://awesomedataviz.com).