Assimulo | simulation package for solving ordinary differential

by modelon-community Python Version: Assimulo-3.3 License: LGPL-3.0

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

kandi X-RAY | Assimulo Summary

Assimulo is a Python library typically used in Simulation applications. Assimulo has no vulnerabilities, it has build file available, it has a Weak Copyleft License and it has low support. However Assimulo has 22 bugs. You can download it from GitHub.

Assimulo is a simulation package for solving ordinary differential equations.

Support

Quality

Security

License

Reuse

Support

Assimulo has a low active ecosystem.

It has 53 star(s) with 15 fork(s). There are 6 watchers for this library.

It had no major release in the last 12 months.

There are 5 open issues and 10 have been closed. On average issues are closed in 215 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Assimulo is Assimulo-3.3

Quality

Assimulo has 22 bugs (5 blocker, 0 critical, 5 major, 12 minor) and 384 code smells.

Security

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

Assimulo code analysis shows 0 unresolved vulnerabilities.

There are 4 security hotspots that need review.

License

Assimulo is licensed under the LGPL-3.0 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

Assimulo releases are available to install and integrate.

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

It has 9685 lines of code, 890 functions and 88 files.

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

Top functions reviewed by kandi - BETA

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

Integrate a Gaussian problem
Integrate rk starter
Check if SuperLU is installed
Remove prefix from name
Integrate a function t
Set problem data
Integrate the problem
Set the data for the problem
Integrate the Jacobian
Set problem data
Run the example
A pendulum
Integrate the function
Get print level
Event handler for the solver event
R Return the solution of the problem
Handle the result of the solver
Run a single solver
Integrate an interpolation
Create the cython extension lists
Constructs the Fortran extension lists
Creates all of the Assimulo
Run solver
Implement solver
Interpolate solver
Compute the output of the function at t
Integrate the gradient

Get all kandi verified functions for this library.

Assimulo Key Features

No Key Features are available at this moment for Assimulo.

Assimulo Examples and Code Snippets

No Code Snippets are available at this moment for Assimulo.

Community Discussions

Trending Discussions on Assimulo

PyFMI in Python 3 environment in Ubuntu 18.04

QUESTION

PyFMI in Python 3 environment in Ubuntu 18.04

Asked 2020-Feb-02 at 12:32

My goal is to be able to run FMUs produced by OpenModelica in Ubuntu 18.04 and then run these with PyFMI in Python 3 environment.

I follow the outline for PyFMI installation here https://jmodelica.org/pyfmi/installation.html.

So far I have using Conda managed to install Python3, Numpy, Scipy, lxml and some other packages and made it work with some of my Python examples. But I would appreciate some detailed advice how to

Install FMI Library - and I do not get how to setup the flag fmil-home
Install Assimulo

After that I guess we are ready to do from the installation outline “python setup.py install —fmil-home=/path/to/fmil"

Appreciate some basic advice!

...

ANSWER

Answered 2020-Jan-09 at 18:22

I had to compile everything to make it work so conda might be an easier solution. This worked for me:

Source https://stackoverflow.com/questions/59582257

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

Vulnerabilities

No vulnerabilities reported

Install Assimulo

You can download it from GitHub.
You can use Assimulo 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 .

Find more information at: