Covalent is a Pythonic workflow tool for computational scientists, AI/ML software engineers, and anyone who needs to run experiments on limited or expensive computing resources including quantum computers, HPC clusters, GPU arrays, and cloud services. Covalent enables a researcher to run computation tasks on an advanced hardware platform – such as a quantum computer or serverless HPC cluster – using a single line of code. Covalent overcomes computational and operational challenges inherent in AI/ML experimentation.

Features

  • Assign functions to appropriate resources: Use advanced hardware (quantum computers, HPC clusters) for the heavy lifting and commodity hardware for bookkeeping
  • Test functions on local servers before shipping them to advanced hardware
  • Let Covalent's services analyze functions for data independence and automatically parallelize them
  • Run experiments from a Jupyter notebook (or whatever your preferred interactive Python environment is)
  • Track workflows and examine results in a browser-based GUI
  • Covalent is developed using Python version 3.8 on Linux and macOS

Project Samples

Covalent workflow Screenshot 1

Project Activity

See All Activity >

Categories

Data Pipeline

License

Affero GNU Public License

Follow Covalent workflow

Covalent workflow Web Site

Other Useful Business Software
Custom VMs From 1 to 96 vCPUs With 99.95% Uptime Icon
Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
Try Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Covalent workflow!

Additional Project Details

Operating Systems

Linux, Mac

Programming Language

Python

Related Categories

Python Data Pipeline Tool

Registered

2023-06-12
Report inappropriate content