# Aim

> Experiment tracker with a UI to explore and compare ML runs and metrics.

- Category: [Machine learning visualization tools](https://awesomedataviz.com/categories/machine-learning/)
- Website: https://aimstack.io
- Repository: https://github.com/aimhubio/aim
- License: Apache-2.0
- Language: Python
- Status: Maintained (commits in the last 12 months)
- GitHub stars: 6,276
- Commits in the last 12 months: 1
- Contributors: 82
- Last commit: Dec 31, 2025
- Latest release: v3.29.1 (May 8, 2025)
- Topics: Machine learning & AI visualization

## Overview

Aim is an open-source ML visualization tool released under the Apache-2.0 license. Its GitHub repository has 6,276 stars, 413 forks, and 82 contributors. It is maintained with 1 commit in the last 12 months; the most recent commit was on Dec 31, 2025. The latest release, v3.29.1, was published on May 8, 2025.

## Alternatives

- [Netron](https://awesomedataviz.com/tools/netron/): Viewer for neural network, deep learning and machine learning models. (33.5K stars)
- [PlotNeuralNet](https://awesomedataviz.com/tools/plotneuralnet/): LaTeX code for drawing neural network architecture diagrams. (25K stars)
- [Opik](https://awesomedataviz.com/tools/opik/): Formerly CometLLM. Debug, evaluate, and monitor LLM applications with tracing and dashboards. (22.4K stars)
- [Phoenix](https://awesomedataviz.com/tools/phoenix/): ML observability in a notebook with UMAP visualizations (11.7K stars)
- [FiftyOne](https://awesomedataviz.com/tools/fiftyone/): Tool for visualizing, curating and evaluating computer vision datasets and models. (11.1K stars)
- [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/aim/ · Data updated 2026-10-04 · Content: CC BY 4.0, Awesome Dataviz (https://awesomedataviz.com).
