# Phoenix

> ML observability in a notebook with UMAP visualizations

- Category: [Machine learning visualization tools](https://awesomedataviz.com/categories/machine-learning/)
- Website: https://arize.com/docs/phoenix
- Repository: https://github.com/Arize-ai/phoenix
- License: Elastic-2.0
- Language: Python
- Status: Active (commits in the last 90 days)
- GitHub stars: 11,704
- Commits in the last 12 months: 3,725
- Contributors: 235
- Last commit: Oct 3, 2026
- Latest release: arize-phoenix-v20.19.0 (Oct 1, 2026)
- Install (PyPI): `pip install arize-phoenix`, 145.1K downloads per week
- Topics: Jupyter & notebook visualization, Machine learning & AI visualization

## Overview

Phoenix is an ML visualization tool. Its GitHub repository has 11,704 stars, 1,181 forks, and 235 contributors. It is actively developed with 3,725 commits in the last 12 months. The latest release, arize-phoenix-v20.19.0, was published on Oct 1, 2026. On PyPI it is downloaded about 145.1K times per week.

## 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)
- [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)
- [BertViz](https://awesomedataviz.com/tools/bertviz/): Visualize attention in Transformer language models such as BERT and GPT-2. (8.2K stars)

## Comparisons

- [Netron vs Phoenix](https://awesomedataviz.com/compare/netron-vs-phoenix/)
- [Phoenix vs PlotNeuralNet](https://awesomedataviz.com/compare/phoenix-vs-plotneuralnet/)
- [Opik vs Phoenix](https://awesomedataviz.com/compare/opik-vs-phoenix/)
- [FiftyOne vs Phoenix](https://awesomedataviz.com/compare/fiftyone-vs-phoenix/)

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