Kedro-Viz visualizes Kedro data and machine learning pipelines and tracks experiments.
Aim
Aim tracks machine learning experiments and describes itself as an open-source experiment tracker.

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
- 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
- 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
- Website
- github.com/aimhubio/aim
- 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
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Aim FAQ
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What kinds of data can be tracked?
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