simupy | A framework for modeling and simulating dynamical systems

by simupy Python Version: 1.1.2 License: BSD-2-Clause

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | simupy Summary

simupy is a Python library typically used in Simulation applications. simupy has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install simupy' or download it from GitHub, PyPI.

A framework for modeling and simulating dynamical systems

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Quality

Security

License

Reuse

Support

simupy has a low active ecosystem.

It has 503 star(s) with 66 fork(s). There are 35 watchers for this library.

It had no major release in the last 12 months.

There are 8 open issues and 16 have been closed. On average issues are closed in 11 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of simupy is 1.1.2

Quality

simupy has 0 bugs and 0 code smells.

Security

simupy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

simupy code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

simupy is licensed under the BSD-2-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

simupy releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

simupy saves you 1300 person hours of effort in developing the same functionality from scratch.

It has 3122 lines of code, 166 functions and 26 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed simupy and discovered the below as its top functions. This is intended to give you an instant insight into simupy implemented functionality, and help decide if they suit your requirements.

Simulate the simulation
Compute the step equation
Make a callable from a trajectory trajectory
Return the last n results
Return a copy of the equation
Process functions_to_print
Substitute dynamic expressions
Call the update_equation function
Compute the output equation
Prints code to the printer
Pretty print function
Set the state equation
Create a DynamicalSystem from a callable
Prepare the model to integrate
Make a copy of the current operator
Set the state of the system
Modify the input system
Set the output equation
Compute a discrete callable from a trajectory t
Return a subset of a matrix
Create a lambda function with vector arguments
Create a DynamicalSystem from a matrix
Connect two systems
Computes the state equation
Compute the event equation
R Construct an explicit matrix
Return a function callable from an array of arrays

Get all kandi verified functions for this library.

simupy Key Features

No Key Features are available at this moment for simupy.

simupy Examples and Code Snippets

No Code Snippets are available at this moment for simupy.

Community Discussions

Trending Discussions on simupy

How do I import all functions from a package in python?

QUESTION

How do I import all functions from a package in python?

Asked 2018-Jun-01 at 03:59

I have a directory as such:

...

ANSWER

Answered 2018-May-30 at 08:27

Pretty easy

__init__.py:

Source https://stackoverflow.com/questions/50598995

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install simupy

You can install using 'pip install simupy' or download it from GitHub, PyPI.
You can use simupy like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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