scikits-odes

v3.0.0

A python module for ordinary differential equation and differential algebraic equation solvers For more information about how to use this package see README

Latest version published 4 months ago

License: BSD-3-Clause

PyPI

GitHub

Package Health Score

76 / 100

security
No known security issues
popularity
Small
maintenance
Healthy
community
Active

Popularity

Small

GitHub Stars: 124
Forks: 44
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package scikits-odes, we found that it has been starred 124 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Jul 14, 2024
Direct Vulnerabilities: 0
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0
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0
M
0
L
Indirect Vulnerabilities: 0
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0
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0
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License Risk: 0
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0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

BSD-3-Clause

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 23
Open PR: 8
Last Release: 4 months ago
Last Commit: 4 months ago

Further analysis of the maintenance status of scikits-odes based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that scikits-odes demonstrates a positive version release cadence with at least one new version released in the past 12 months.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 20
Funding: No

With more than 10 contributors for the scikits-odes repository, this is possibly a sign for a growing and inviting community.

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Package

Python Versions Compatibility: ==3.10.*, ==3.11.*, ==3.7.*, ==3.8.*, ==3.9.*

Age: 13 years
Latest Release: 4 months ago
Dependencies: 4 Direct
Versions: 21
Maintainers: 2
Wheels: No

Readme

ODES is a scikit for Python 3.7+ offering extra ode/dae solvers, as an extension to what is available in scipy. The documentation is available at Read The Docs, and API docs can be found at https://bmcage.github.io/odes.

Available solvers:

ODES provides interfaces to the following solvers:

BDF linear multistep method for stiff problems (CVODE and IDA from SUNDIALS)
Adams-Moulton linear multistep method for nonstiff problems (CVODE and IDA from SUNDIALS)
Explicit Runge-Kutta method of order (4)5 with stepsize control ( dopri5 from scipy.integrate)
Explicit Runge-Kutta method of order 8(5,3) with stepsize control ( dop853 from scipy.integrate)
Historical solvers: lsodi and ddaspk are available for comparison reasons. Use IDA instead! Note that lsodi fails on architecture aarch64.

Usage

A simple example solving the Van der Pol oscillator is as follows:

import matplotlib.pyplot as plt
import numpy as np
from scikits.odes import ode

t0, y0 = 1, np.array([0.5, 0.5])  # initial condition
def van_der_pol(t, y, ydot):
    """ we create rhs equations for the problem"""
    ydot[0] = y[1]
    ydot[1] = 1000*(1.0-y[0]**2)*y[1]-y[0]

solution = ode('cvode', van_der_pol, old_api=False).solve(np.linspace(t0,500,200), y0)
plt.plot(solution.values.t, solution.values.y[:,0], label='Van der Pol oscillator')
plt.show()

For simplicity there is also a convenience function odeint wrapping the ode solver class. See the User Guide for a simple example for odeint, as well as simple examples for object orientated interfaces and further examples using ODES solvers.

Projects that use odes

You can learn by example from following code that uses ODES:

Centrifuge simulation, a wrapper around the ida solver: see centrifuge-1d

You have a project using odes? Do a pull request to add your project.

Citing ODES

If you use ODES as part of your research, can you please cite the ODES JOSS paper. Additionally, if you use one of the SUNDIALS solvers, we strongly encourage you to cite the SUNDIALS papers.

scikits-odes dependencies

scikits-odes-core scikits-odes-daepack scikits-odes-sundials scipy

FAQs

What is scikits-odes?

A python module for ordinary differential equation and differential algebraic equation solvers. Visit Snyk Advisor to see a full health score report for scikits-odes, including popularity, security, maintenance & community analysis.

Is scikits-odes popular?

The python package scikits-odes receives a total of 3,105 weekly downloads. As such, scikits-odes popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is scikits-odes well maintained?

We found that scikits-odes demonstrated a healthy version release cadence and project activity. It has a community of 20 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is scikits-odes safe to use?

The python package scikits-odes was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 25 November-2024, at 12:13 (UTC).

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