Welcome to dxflow - the comprehensive distributed computing engine that transforms any accessible machine into a first-class member of your computational fleet.
dxflow provides a unified interface for orchestrating workflows across different computing environments:
Get started with dxflow in minutes:
dxflow began as an internal initiative at DiPhyX to streamline sprawling scripts, clusters, and ad-hoc logs that slow down scientific progress. Initially a weekend hack intended to create a "MLFlow for physics and chemistry," it has evolved through numerous projects in bioinformatics, CFD, and materials science into a robust, production-grade engine available for everyone.
We are committed to accelerating scientific innovation by offering a unified, scalable, and intuitive cloud platform for end-to-end computational pipelines. Every feature in dxflow is designed to help researchers:
Built for Real Research Needs:
Life sciences, CFD, computational chemistry - scale studies without infrastructure headaches
Build physics-informed ML pipelines across hybrid cloud environments
Academic groups and startups - access HPC power without operational overhead
Our core team brings over 20 years of combined experience on national supercomputers and has published more than 50 peer-reviewed papers. We understand the challenges of failed overnight runs and design dxflow to minimize such setbacks.
Have questions about dxflow or need support? We'd love to hear from you.
Whether you're looking to integrate dxflow into your research workflow, need technical assistance, or want to contribute to the project, our team is here to help accelerate your scientific computing journey.