pip install pysd==1.11.0

System Dynamics Modeling in Python

Source
Among top 10% packages on PyPI.
Over 6.2K downloads in the last 90 days.

Commonly used with pysd

Based on how often these packages appear together in public requirements.txt files on GitHub.

twclassify

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louvain

louvain is a general algorithm for methods of community detection in large networks.

hepbasestack

Collection of tools/snippets useful for working with the python data analysis stack. Provides logging, matplotlibstyles, etc.

qpsolvers

Quadratic Programming solvers for Python with a unified API

py-heat-magic

py-heat as IPython magic

gptools

Gaussian process regression with derivative constraints and predictions.

pydata-sphinx-theme

Bootstrap-based Sphinx theme from the PyData community

watermark

IPython magic function to print date/time stamps andvarious system information.

catboost

Catboost Python Package

ipycache

Defines a %%cache cell magic in the IPython notebook to cache results of long-lasting computations in a persistentpickle file.

PyMaxflow

A mincut/maxflow package for Python

gapi

Simple utilties to explore the Gnip search API

category-encoders

A collection sklearn transformers to encode categorical variables as numeric

ijroi

Reads ImageJ ROIs.

jupyter-lsp

Multi-Language Server WebSocket proxy for Jupyter notebook or lab server for Python 3.5+.

tdda

Test Driven Data Analysis

si-prefix

Functions for formatting numbers according to SI standards.

vecstack

Python package for stacking (machine learning technique)

sklearn-deap

Use evolutionary algorithms instead of gridsearch in scikit-learn.

Version usage of pysd

Proportion of downloaded versions in the last 3 months (only versions over 1%).

1.9.1

14.75%

1.11.0

10.18%

1.10.0

9.85%

1.9.0

8.39%

0.10.0

4.59%

1.8.1

3.33%

1.8.0

2.95%

1.7.0

2.88%

1.5.0

2.83%

1.6.1

2.82%

1.4.1

2.82%

1.6.0

2.80%

1.4.0

2.79%

1.3.1

2.64%

1.2.0

2.59%

1.3.0

2.58%

0.8.3

1.91%

0.9.0

1.89%

0.8.2

1.89%

0.8.1

1.86%

0.7.8

1.04%

0.7.2

1.02%

0.6.3

1.01%

0.3.0

1.01%