Replaces closed-source materials informatics platforms for property prediction. Provides a unified Python interface for materials descriptors and deep learning force fields.
Tech Stack
Jupyter NotebookChemistry & Materials
Why maml?
• Broad range of materials descriptors
• Modular design for easy extension
• Strong community backing from Materials Project
Limitations
• Steep learning curve for non-programmers
• Documentation can be fragmented
• Dependency on specific versions of pymatgen
2/24/2026
Last Update
94
Forks
12
Issues
BSD-3-Clause
License
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