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Stochastic Python Packages

Python packages with the GitHub topic stochastic. Sorted by relevance, with stars and monthly downloads.
crflynn
stochastic

Generate realizations of stochastic processes in python.

25K 504 91
dancixx
stochastic-rs

stochastic-rs is a Rust library designed for high-performance simulation and analysis of stochastic processes and models in quant finance.

12K 153 7
GAIA-UNIL
g2s

A flexible MPS framework

12K 45 11
Aschii85
sde-sim-rs

Powerful and flexible SDE simulation library with Rust-accelerated Monte-Carlo

11K 2 0
EMOD-Hub
emod-malaria

Source files for building the IDM EMOD disease transmission model.

4K 105 52
SURGroup
uqpy

UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.

3K 352 97
EMOD-Hub
emod-hiv

Source files for building the IDM EMOD disease transmission model.

3K 105 52
EMOD-Hub
emod-common

Source files for building the IDM EMOD disease transmission model.

2K 105 52
xurendong
derivx

Derivatives Pricing Engine

1K 20 4
Melvin-klein
algosto

Algosto implements stochastic algorithms.

696 0 0
deepansh-saxena
duralang

Write normal LangChain code. Get Temporal durability. One decorator.

563 17 2
vadmbertr
pastax

Parameterizable Auto-differentiable Simulators of ocean Trajectories in jAX.

408 2 1
JulioCesarMS
stochasticprocesses

A package to simulate stochastic processes

407 0 0
verificarlo
significantdigits

Solid statistical analysis of Stochastic Arithmetic.

390 4 3
Heuro-labs
pyssa

Python package for stochastic simulations

330 18 2
griano
epistoch

Epidemics Models with Random Infectious Period

321 1 1
LRydin
kramersmoyal

kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order

254 76 13
Jacks0nJ
pyfpt

Stochastic first-passage time (FPT) simulations using importance sampling.

254 10 1
DanieleGioia
scenarioreducer

This library implements several approximate scenario reduction algorithms. Given a probability distribution with finite support, they aim to determine a probability measure with support of reduced and fixed cardinality by selecting the closest to the original one in terms of a selected statistical distance.

203 7 4
aresio
procell

Stochastic simulation of cell populations proliferation

202 0 2
randlab
pykasso

pyKasso is a python package to simulate stochastic karst conduit networks. It can be used as a preprocessing to simulate groundwater flow and solute transport in karstic systems.

198 22 5
timpauli
yamm

yet another markov module

165 1 0
eonof
upgrade-policy-optimizer

A Python library for solving finite Markov Decision Processes using value iteration

115 0 0
Heuro-labs
cayenne

Python package for stochastic simulations

114 18 2
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