CheMLFlow: An Open-Source Platform for Cheminformatics and Materials Informatics Applications
CheMLFlow is an open-source platform for building and executing end-to-end, high-throughput, and agentic workflows for scientific and technological applications. CheMLFlow targets a common bottleneck in scientific machine learning development, where researchers often need to assemble data acquisition, curation, representation, model training, validation, screening, interpretation, and reporting into a reproducible pipeline, even when their primary research contribution concerns only one stage. C
Record details
Published: 5 August 2026
Source: arXiv cs.AI
Category: Research
Topics: Agents & autonomy
Retrieved: 6 August 2026
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ethics.ai (5 August 2026), “CheMLFlow: An Open-Source Platform for Cheminformatics and Materials Informatics Applications,” evidence record 16927, https://ethics.ai/record/16927 (originally published by arXiv cs.AI).
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