Aim

github.com/aimhubio/aim AI Infrastructure & MLOps Open-source projectOpen source

Aim tracks machine learning experiments and describes itself as an open-source experiment tracker.

github.com/aimhubio/aim
Aim homepage screenshot

About Aim

Aim is an open-source, self-hosted experiment tracker for machine learning. It logs training runs and related AI metadata, provides a web UI for comparing and observing runs, and offers an SDK for querying tracked metadata programmatically. The project states it is designed to handle tens of thousands of training runs.

Key features

  • Logs training runs and AI metadata from Python code
  • Web UI for comparing and observing runs
  • Python SDK for programmatic queries and notebook analysis
  • Built-in converters for TensorBoard, MLflow and Weights & Biases logs
  • Callbacks for PyTorch, Hugging Face, Keras, XGBoost and others
  • Run grouping with tags and experiments, plus notifications
Best for: Machine learning teams and researchers who want a self-hosted, open-source tracker for large numbers of training runs.
Good for
  • Designed to handle tens of thousands of training runs
  • Built-in converters ease migration from other experiment trackers
  • Wide range of framework integrations with built-in callbacks
Watch out for
  • Distributed as a self-hosted tool; no hosted service is described on the repository page
  • No pricing information is listed on the repository page
  • Support beyond the core project is offered separately by AimStack by email

Aim at a glance

Type
Open-source project
Pricing
Not confirmed. Check the site
Open source
Yes · Source code
Language
English
Last checked
Oct 6, 2026 · Online when checked
Listed
Oct 5, 2026

Aim alternatives

Tools and sites you could use instead, ranked by how closely they match.

All 24 alternatives

Popular in AI Infrastructure & MLOps

Well-known listings from the same topic.

All 341

Aim FAQ

How do I install and start Aim?
Install it on your training environment with pip3 install aim, integrate it into your code, then run the training as usual and start the UI with the aim up command.
Can I migrate logs from other experiment trackers?
Yes. Aim includes built-in converters for TensorBoard, MLflow and Weights & Biases logs, and its SDK can be used to write a custom conversion script for other scenarios.
What kinds of data can be tracked?
Aim logs training runs and AI metadata, including run parameters, metrics, and other trackable objects such as images and text, along with system information and resource usage.
Is something wrong or out of date?

Tell us and an editor will check it.

Own this website?

Claim the listing and suggest updates yourself. An editor checks every claim first.

Claim this listing