Scientific Software
Updated 6 months ago

EZyRB — Peer-reviewed • Rank 14.3 • Science 100%

EZyRB: Easy Reduced Basis method - Published in JOSS (2018)

Scientific Software
Updated 6 months ago

f3dasm — Peer-reviewed • Rank 12.7 • Science 98%

f3dasm: Framework for Data-Driven Design and Analysis of Structures and Materials - Published in JOSS (2024)

Earth and Environmental Sciences
Scientific Software · Peer-reviewed
Scientific Software
Updated 6 months ago

datafold — Peer-reviewed • Rank 11.1 • Science 89%

datafold: data-driven models for point clouds and time series on manifolds - Published in JOSS (2020)

Updated 5 months ago

SimInf • Rank 15.3 • Science 49%

A framework for data-driven stochastic disease spread simulations

Updated 6 months ago

node-red-contrib-uibuilder • Rank 17.8 • Science 44%

Easily create data-driven web UI's for Node-RED. Single- & Multi-page. Multiple UI's. Work with existing web development workflows or mix and match with no-code/low-code features.

Updated 6 months ago

galpynostatic • Rank 7.6 • Science 44%

:zap::battery: A Python/C++ package with physics-based and data-driven models to predict optimal conditions for fast-charging lithium-ion batteries

Updated 6 months ago

cfd-xyz-viewer • Rank 3.8 • Science 31%

:rocket: An open-source web app for generating and visualizing parametric CFD results

Updated 6 months ago

pydmd • Science 49%

Python Dynamic Mode Decomposition

Updated 6 months ago

datadrivensurveys • Science 57%

A platform supporting the creation of data-driven surveys.

Updated about 1 month ago

pyforce: Python Framework for data-driven model Order Reduction of multi-physiCs problEms • Science 87%

pyforce: Python Framework for data-driven model Order Reduction of multi-physiCs problEms - Published in JOSS (2026)

Updated 6 months ago

macchiato • Science 31%

:atom_symbol::robot: Data-driven nearest neighbor models for predicting experimental results on silicon lithium-ion battery anodes

Updated 6 months ago

mlcolvar • Science 67%

A unified framework for machine learning collective variables for enhanced sampling simulations

Updated 6 months ago

datafold • Science 67%

Extended Dynamic Mode Decomposition for system identification from time series data (with dictionary learning, control and streaming options). Diffusion Maps to extract geometric description from data.