aimhubio/aim
An open-source experiment tracker that logs ML training runs, metrics, and AI metadata with a web UI for comparison and a programmatic API for querying.
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Aim is an open-source experiment tracking tool built for machine learning workflows. It captures and logs training run metrics, hyperparameters, and AI metadata during model development. The platform provides a web-based UI for visualizing and comparing experiments across runs, alongside a programmatic API for querying experiment data. It serves as an alternative to tools like TensorBoard and MLflow, focusing on observability for AI/ML development pipelines.
Frequently asked
- What is aimhubio/aim?
- An open-source experiment tracker that logs ML training runs, metrics, and AI metadata with a web UI for comparison and a programmatic API for querying.
- Is aim open source?
- Yes — aimhubio/aim is open source, released under the Apache-2.0 license.
- What language is aim written in?
- aimhubio/aim is primarily written in Python.
- How popular is aim?
- aimhubio/aim has 6.2k stars on GitHub.
- Where can I find aim?
- aimhubio/aim is on GitHub at https://github.com/aimhubio/aim.