Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.
Open source
24 alternativesAeromancy
Use Aeromancy to build reproducible machine learning workflows and projects.
About Aeromancy
Aeromancy is an open-source framework for machine learning experiments. It records details of the runtime environment in which an experiment ran, such as dataset versions and library dependency versions, which experiment trackers often omit. The project provides a versioning scheme that covers system runtimes and external datasets, along with a set of best practices. It aims to make experiments easier to replicate, but it is a pre-release project.
The framework requires a fixed software stack: Weights and Biases as the experiment tracker, S3-compatible object storage for artifacts (Ceph is given as an example), Docker for virtualization, pdm as the Python package manager, and Git for revision control. Its documentation is in an early state, and support may be limited while it remains pre-release.
Key features
- Versioning scheme covering system runtimes and external datasets
- Tracks experimental runtime environments and dependency versions
- Integrates with Weights and Biases as the experiment tracker
- Stores artifacts in S3-compatible object storage
- Uses Docker for virtualization and Git for revision control
- Developer reference with architectural overview and glossary of terms
Best for: Machine learning practitioners and researchers who can adopt its required software stack and want experiment records that include dataset and dependency versions.
Good for
- Open source under the Apache-2.0 license
- Records dataset versions and system runtimes, which standard experiment trackers may not capture
- Includes design documentation covering architecture and terminology
Watch out for
- Requires a specific software stack: Weights and Biases, S3-compatible storage, Docker, pdm and Git
- Pre-release, so support may be limited
- Documentation is in a very early state
Aeromancy 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
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Aeromancy FAQ
What software stack does Aeromancy require?
The current form requires Weights and Biases as the experiment tracker, S3-compatible object storage for artifacts, Docker for virtualization, pdm as the Python package manager, and Git for revision control.
What is the current release status?
Aeromancy is a pre-release project. Its documentation is in a very early state, and support may be limited.
How can I view the autogenerated documentation for the code?
Start a local documentation server with the command pdm doc.
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