dxflow Engine
Welcome to dxflow - the comprehensive distributed computing engine that transforms any accessible machine into a first-class member of your computational fleet.
Overview
dxflow provides a unified interface for orchestrating workflows across different computing environments:
- Docker Integration: Seamless container orchestration
- Slurm Support: High-performance computing cluster management
- CLI Interface: Powerful command-line tools for automation
- REST API: Programmatic access for integration
- Web UI: Intuitive browser-based interface
Quick Start
Get started with dxflow in minutes:
Why dxflow?
- Universal Access: Connect any machine, anywhere
- Enterprise Security: Built-in authentication and authorization
- Unified Interface: Single tool for all your computing needs
- Scalable Architecture: From single nodes to massive clusters
About dxflow
Our Journey
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.
Our Mission
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:
- Speed up discovery.
- Ensure reproducibility.
- Simplify complex computational workflows.
Scientific-First Approach
Built for Real Research Needs:
- Native Compatibility: Works with GROMACS, Ansys Fluent, custom solvers, and any containerized application
- No Vendor Lock-in: Runs on existing infrastructure without requiring cloud migration
- Researcher-Friendly: Designed by scientists who understand the pain of failed overnight runs
Who Benefits
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
Built by Scientists for Scientists
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.
Contact Us
Have questions about dxflow or need support? We'd love to hear from you.
- Website: diphyx.com
- Email: info@diphyx.com
- Phone: +1 (619) 693-6161
- Schedule a Call: Book 30-minute consultation
- Community: Join our community discussions and get help from other users
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.