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Turbulence Python Packages

Python packages with the GitHub topic turbulence. Sorted by monthly downloads, with stars and forks.
fluiddyn
fluidsim

:ocean: Framework for studying fluid dynamics with numerical simulations using Python (publish-only mirror). The main repo is hosted on https://foss.heptapod.net (Gitlab fork supporting Mercurial).

7K 79 13
sciserver
givernylocal

library for querying the Johns Hopkins Turbulence Database (JHTDB)

1K 40 4
MALES-project
speckcn2

:satellite: :cyclone: A platform to use speckle patterns to describe atmospheric turbulence

812 8 1
sciserver
giverny

library for querying the Johns Hopkins Turbulence Database (JHTDB)

771 40 4
pikarpov-LANL
sapsan

ML-based turbulence modeling for astrophysics

650 14 4
spectralDNS
shenfun

High performance computational platform in Python for the spectral Galerkin method

556 232 48
vvp-cfd
cfdvv

Open test suite for CFD verification & validation. 51 built-in & 35 external cases, solver-agnostic CLI, OpenFOAM integration.

505 1 0
mousebrains
microstructure-tpw

Process Rockland VMP or MR P files to extract epsilon and chi

495 3 1
meom-group
tunax

Automatic calibration of vertical ocean physics in JAX

382 7 0
ojdf
fast-aosim

Simulation tool that utilises a Fourier domain adaptive optics model to enable rapid Monte Carlo characterisation of free space optical links between the Earth and satellites

368 28 7
ImperialCollegeLondon
rojak-cat

A python package for turbulence diagnostics and (hopefully) aeroelasticity

158 3 4
aakash30jan
turbtools

Python Package for Statistical Analysis of Turbulence Data

91 6 1
jcanivete
swirl-code

The SWIRL code is a python implementation of the "Estimated Vortex Center" (EVC) method for an automated identification of vortices in two-dimensional velocity fields.

74 12 7
mabruzzo
pairstat

Python package providing C++ accelerated functions to compute structure functions and two-point correlation functions

32 4 0
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology