# LightlyStudio

> Interactive embedding plot and sample grid to explore image and video datasets, with annotation overlays.

- Category: [Machine learning visualization tools](https://awesomedataviz.com/categories/machine-learning/)
- Website: https://docs.lightly.ai/studio/
- Repository: https://github.com/lightly-ai/lightly-studio
- License: Apache-2.0
- Language: Python
- Status: Active (commits in the last 90 days)
- GitHub stars: 901
- Commits in the last 12 months: 2,292
- Contributors: 19
- Last commit: Oct 30, 2026
- Latest release: v1.2.0 (Oct 23, 2026)
- Topics: Machine learning & AI visualization

## Overview

LightlyStudio is an open-source ML visualization tool released under the Apache-2.0 license. Its GitHub repository has 901 stars, 42 forks, and 19 contributors. It is actively developed with 2,292 commits in the last 12 months. The latest release, v1.2.0, was published on Oct 23, 2026.

## Alternatives

- [Netron](https://awesomedataviz.com/tools/netron/): Viewer for neural network, deep learning and machine learning models. (33.6K stars)
- [PlotNeuralNet](https://awesomedataviz.com/tools/plotneuralnet/): LaTeX code for drawing neural network architecture diagrams. (25.1K stars)
- [Opik](https://awesomedataviz.com/tools/opik/): Formerly CometLLM. Debug, evaluate, and monitor LLM applications with tracing and dashboards. (23.1K stars)
- [Phoenix](https://awesomedataviz.com/tools/phoenix/): ML observability in a notebook with UMAP visualizations (12.1K stars)
- [FiftyOne](https://awesomedataviz.com/tools/fiftyone/): Tool for visualizing, curating and evaluating computer vision datasets and models. (11.3K 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/lightlystudio/ · Data updated 2026-11-01 · Content: CC BY 4.0, Awesome Dataviz (https://awesomedataviz.com).