> ## Documentation Index
> Fetch the complete documentation index at: https://docs.trainy.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Overview

> Pluto is our managed and cloud-hosted experiment tracking tool for people developing/deploying ML models.

Pluto is an experiment tracking tool for machine learning teams based on [our fork](https://github.com/Trainy-ai/pluto) of the [open source project MLOp](https://github.com/Trainy-ai/pluto). If you have used tools like Weights & Biases (WandB), MLflow, or Neptune, the tooling is similar but built to be faster and more responsive.

To create an account, visit: [pluto.trainy.ai](https://pluto.trainy.ai/o/trainy)\
\
Or visit our [demo environment](http://demo.pluto.trainy.ai/o/dev-org).

Features include:

* Track and compare experiments
* Real-time tracking of model performance and training metrics/logs
* Collaborative experiment sharing.

<img src="https://mintcdn.com/trainy/xqSYbhN-FFuW4nHK/images/image.png?fit=max&auto=format&n=xqSYbhN-FFuW4nHK&q=85&s=705c04b5e8e86bf73f39fed95c640f0f" alt="Image" width="1920" height="1105" data-path="images/image.png" />