FlowMol
The premium Open Source alternative to Schrödinger Maestro
🎯 Best for:Generative molecular design using flow-matching models.
What is FlowMol?
Replaces commercial generative AI tools for small molecule discovery. It utilizes mixed continuous and categorical flow-matching for high-fidelity molecule generation.
Tech Stack
PythonPharma & Biotechnology
Why FlowMol?
- • State-of-the-art flow matching
- • Handles categorical data
- • High diversity
Limitations
- • High compute cost
- • New/Experimental
- • Complex math
2/26/2026
Last Update
22
Forks
0
Issues
MIT
License
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Competitor Cost
-$1,440
/ year (est. based on Schrödinger Maestro)
Self-Hosted
$0
/ year
Team Size10 Users
150+
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