Scientific computing library for optics, computer graphics and visual perception.
-
Updated
Dec 14, 2025 - Python
Scientific computing library for optics, computer graphics and visual perception.
Distributed Network Vulnerability Scanner
Open source digital rocks software platform for micro-CT, CT, thin sections and borehole image analysis. Includes tools for: annotation, AI, HPC, porous media flow simulation, porosity analysis, permeability analysis and much more.
Concurrent, Asynchronous, Distributed, Communicating Tasks with Python
Distributed segmentation for bio-image-analysis
WAVES is a reusable web application dedicated to bioinformatic tool integration
Web based cluster computing apps
Seamless distributed computing for Python functions
Your Friendly Neighbourhood Distributed Computing System
A load balancer for Python 3.5
These are important tools written for working with ORCA (a computational chemistry open source package) in a super-computing environment. They include multiple job submission scripts (BASH), multiple job cancellation (BASH), job setup with different geometries (in python), data extraction (BASH), final optimized geometry extraction (BASH) and
MapReduce, Spark, Hadoop, PostgreSQL, Cluster Management
🏄♂️ Multi-objective optimization framework for OpenFOAM, powered by BoTorch. Modular, optimizer-agnostic, cluster-native.
A command line password cracking tool which works on a cluster(HPC).
⌚ 🧳
Parallelize any experiment and collect results from their stdout
PARSCHUT: PARAllel SCHeduling UTils. a HPC cluster job manager.
Deploying Hadoop and Spark with Docker swarm
The following readme file, assume that before running the Spark analytic job, you have already installed the correct versions of **Java**, **Hadoop**, **Spark** and that you are inside **Ubuntu**.
Cracking the vigenere cipher with cluster computing.
Add a description, image, and links to the cluster-computing topic page so that developers can more easily learn about it.
To associate your repository with the cluster-computing topic, visit your repo's landing page and select "manage topics."