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

timeeval

Evaluation Tool for Anomaly Detection Algorithms on Time Series

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.

dask-remote-jobqueue

A custom dask remote jobqueue for HTCondor.

psweep

Loop like a pro, make parameter studies fun.

hypergbm

A full pipeline AutoML tool for tabular data

scherbelberg

HPC cluster deployment and management for the Hetzner Cloud

tfilterspy

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

ipcmagic-cscs

Magic commands to support running MPI python code as well as multi-node Dask workloads on Jupyter notebooks.

climeval

EvalMetrics: Precision in Prediction

ipcmagic

Magic commands to support running MPI python code as well as multi-node Dask workloads on Jupyter notebooks.

dask-remote

Procurement: Dask Cluster as a Process.

ipcluster-magics

Magic commands to support running MPI python code as well as multi-node Dask workloads on Jupyter notebooks.