Dask Distributed Python Packages

unidist

Unified Distributed Execution

pylammpsmpi

Parallel Lammps Python interface - control a mpi4py parallel LAMMPS instance from a serial python process or a Jupyter notebook - based on executorlib

scip

Scalable Cytometry Image Processing (SCIP) is an open-source tool that implements an image processing pipeline on top of Dask, a distributed computing framework written in Python. SCIP performs projection, illumination correction, image segmentation and masking, and feature extraction.

timeeval

Evaluation Tool for Anomaly Detection Algorithms on Time Series

dask-remote-jobqueue

Remote jobqueu implementation for DASK: create a scheduler on a remote job queue cluster

hypergbm

A full pipeline AutoML tool integrated various GBM models

psweep

Loop like a pro, make parameter studies fun.

ipcmagic-cscs

IPyParallel magics for Jupyter notebooks

scherbelberg

HPC cluster deployment and management for the Hetzner Cloud

ipcmagic

IPyParallel magics for Jupyter notebooks

tfilterspy

Python library for implementing state-of-the-art Bayesian filtering techniques like Kalman Filters and Particle Filters.

climeval

Climate Model vs. Observation Comparison Tool

dask-remote

Procurement: Dask Cluster as a Process.