Package Health Score

66 / 100

security
No known security issues
popularity
Small
maintenance
Sustainable
community
Sustainable

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Popularity

Small

GitHub Stars: 342
Forks: 114
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package PYPOWER, we found that it has been starred 342 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Sep 2, 2024
Direct Vulnerabilities: 0
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0
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0
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0
L
Indirect Vulnerabilities: 0
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0
H
0
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0
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License Risk: 0
H
0
M
0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

BSD-2-Clause

Security Policy

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Maintenance

Sustainable

Commit Frequency

Open Issues: 30
Open PR: 3
Last Release: 4 months ago
Last Commit: 4 months ago

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

We found that PYPOWER 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

Sustainable

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

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

We found a way for you to contribute to the project! Looks like PYPOWER is missing a Code of Conduct.

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Package

Python Versions Compatibility: ==2.7.*, ==3.7.*, ==3.8.*, ==3.9.*

Age: 13 years
Latest Release: 4 months ago
Dependencies: N/A
Versions: 17
Maintainers: 0
Wheels: OS Independent

Readme

PYPOWER is a power flow and Optimal Power Flow (OPF) solver. It is a port of MATPOWER to the Python programming language. Current features include:

DC and AC (Newton's method & Fast Decoupled) power flow and
DC and AC optimal power flow (OPF)

Status

libraries _ pyversions _ license _ downloads _ travis _ _

PYPOWER is no longer actively maintained. However, should improvements to PYPOWER be required then the original author may be available on contract. Please do not hesitate to get in contact directly.

Prerequisites

PYPOWER depends upon these prerequisites on the level of the operating system:

Python 2.7 - 3.9

Virtual Environment

PYPOWER is recommended to be installed into a virtual environment:

$ python3.8 -m venv venv  # Or any supported Python version

Dependencies

PYPOWER depends upon NumPy, SciPy and PyRLU which can be installed as follows:

$ venv/bin/python -m pip install -r requirements.txt

Installation

The recommended way of installing PYPOWER is using pip:

$ venv/bin/python -m pip install PYPOWER

Alternatively, download and unpack the tarball and install:

$ tar zxf PYPOWER-5.x.y.tar.gz
$ venv/bin/python setup.py install

Testing

PYPOWER can be tested locally using the same tooling as on Travis CI:

$ venv/bin/python -m tox -e py27,py38  # Or any supported Python version

Using PYPOWER

Installing PYPOWER creates pf and opf commands. To list the command options:

$ venv/bin/pf -h

or:

$ venv/bin/opf -h

PYPOWER includes a selection of test cases. For example, to run a power flow on the IEEE 14 bus test case:

$ venv/bin/pf -c case14

Alternatively, the path to a PYPOWER case data file can be specified:

$ venv/bin/pf /path/to/case14.py

The opf command has the same calling syntax. For example, to solve an OPF for the IEEE Reliability Test System and write the solved case to file:

$ venv/bin/opf -c case24_ieee_rts --solvedcase=rtsout.py

For further information please refer to and the API documentation.

Support

Questions and comments regarding PYPOWER should be directed to the mailing list:

License & Copyright

The code in PYPOWER is distributed under the 3-clause BSD license below. The PYPOWER case files distributed with PYPOWER are not covered by the BSD license. In most cases, the data has either been included with permission or has been converted from data available from a public source.

While not required by the terms of the license, we do request that publications derived from the use of MATPOWER explicitly acknowledge that fact by citing:

> R. D. Zimmerman, C. E. Murillo-Sanchez, and R. J. Thomas, "MATPOWER: > Steady-State Operations, Planning and Analysis Tools for Power Systems > Research and Education," Power Systems, IEEE Transactions on, vol. 26, > no. 1, pp. 12–19, Feb. 2011.

Changelog

Version 5.1.5 (2020-10-21)

[NEW] Added new function: AC continuation power flow

Version 5.1.2 (2017-06-09)

[NEW] Configured continuous integration using Travis.

Version 5.1.0 (2017-06-09)

[NEW] Added Python 3 support.

Version 5.0.1 (2016-07-04)

[FIX] Fixed issue #21 and issue #25 in savecase() (pull request #26).
[CHANGE] Based on 'recursion limit' issues affecting savemat() in savecase(), converted non-scalars to arrays.
[NEW] Created t_savecase.py and added t_savecase() to test_pypower.py.

Version 5.0.0 (2015-05-29)

[CHANGE] 3-clause BSD License

Version 4.1.2 (2014-10-27)

[FIX] Fixed error in runopf() (issue #11).
[FIX] Fixed runpf.py with ENFORCE_Q_LIMS option (pull request #13).

Version 4.1.1 (2014-09-17)

[FIX] loadcase.py: Fixed NumPy 1.9 warning about "== None" comparisions.

Version 4.1.0 (2014-05-29)

[NEW] Support for Python 3 (3.3 and above).
[CHANGE] Updated to MATPOWER 4.1.
[REMOVED] Support for Python 2.5 and below.

Version 4.0.1 (2011-07-14)

[CHANGE] printpf.py: changed boolean operators from bitwise to logical to fix the output options
[FIX] savecase.py: adding indentation to produce valid Python modules

Version 4.0.0 (2011-07-07)

Initial release, port of MATPOWER version 4.0

FAQs

What is PYPOWER?

Solves power flow and optimal power flow problems. Visit Snyk Advisor to see a full health score report for PYPOWER, including popularity, security, maintenance & community analysis.

Is PYPOWER popular?

The python package PYPOWER receives a total of 2,244 weekly downloads. As such, PYPOWER popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is PYPOWER well maintained?

We found indications that PYPOWER maintenance is sustainable demonstrating some project activity. We saw a total of 20 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is PYPOWER safe to use?

The python package PYPOWER 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 December-2024, at 18:54 (UTC).

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