mikeio

v2.1.2

A package that uses the DHI dfs libraries to create, write and read dfs and mesh files. For more information about how to use this package see README

Latest version published 14 days ago

License: BSD-3-Clause

PyPI

GitHub

Package Health Score

84 / 100

security
No known security issues
popularity
Small
maintenance
Healthy
community
Active

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Popularity

Small

GitHub Stars: 139
Forks: 55
Contributors: 30

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package mikeio, we found that it has been starred 139 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Oct 25, 2024
Direct Vulnerabilities: 0
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0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
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0
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License Risk: 0
H
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: 26
Open PR: 13
Last Release: 14 days ago
Last Commit: 14 days ago

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

We found that mikeio demonstrates a positive version release cadence with at least one new version released in the past 3 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 30
Funding: No

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

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Package

Python Versions Compatibility: >=3.9

Age: 5 years
Latest Release: 14 days ago
Dependencies: 3 Direct
Versions: 66
Maintainers: 2
Wheels: OS Independent

Readme

MIKE IO: input/output of MIKE files in Python

Python version

Read, write and manipulate dfs0, dfs1, dfs2, dfs3, dfsu and mesh files.

MIKE IO facilitates common data processing workflows for MIKE files in Python.

Requirements

Windows or Linux operating system
Python x64 3.9 - 3.13
(Windows) VC++ redistributables (already installed if you have MIKE)

Installation

From PyPI:

pip install mikeio

Or development version:

pip install https://github.com/DHI/mikeio/archive/main.zip

⚠️ Don't use conda to install MIKE IO!, the version on conda is outdated.

Getting started

The material from the last Academy by DHI course is available here: Getting started with Dfs files in Python using MIKE IO

Where can I get help?

Documentation - https://dhi.github.io/mikeio/
General help, new ideas and feature requests - GitHub Discussions
Bugs - GitHub Issues

Tested

MIKE IO is tested extensively.

See detailed test coverage report below:

---------- coverage: platform linux, python 3.12.4-final-0 -----------
Name                                      Stmts   Miss  Cover
-------------------------------------------------------------
mikeio/__init__.py                           31      3    90%
mikeio/_interpolation.py                     68      6    91%
mikeio/_spectral.py                          97      7    93%
mikeio/_time.py                              29      1    97%
mikeio/_track.py                            103     14    86%
mikeio/dataset/__init__.py                    3      0   100%
mikeio/dataset/_data_plot.py                358     38    89%
mikeio/dataset/_data_utils.py                20      0   100%
mikeio/dataset/_dataarray.py                730     52    93%
mikeio/dataset/_dataset.py                  734     57    92%
mikeio/dfs/__init__.py                        5      0   100%
mikeio/dfs/_dfs0.py                         198     13    93%
mikeio/dfs/_dfs1.py                          58      2    97%
mikeio/dfs/_dfs2.py                         132      3    98%
mikeio/dfs/_dfs3.py                         147      9    94%
mikeio/dfs/_dfs.py                          290     18    94%
mikeio/dfsu/__init__.py                       6      0   100%
mikeio/dfsu/_common.py                       36      1    97%
mikeio/dfsu/_dfsu.py                        223      7    97%
mikeio/dfsu/_factory.py                      20      1    95%
mikeio/dfsu/_layered.py                     190      7    96%
mikeio/dfsu/_mesh.py                         54      8    85%
mikeio/dfsu/_spectral.py                    214     36    83%
mikeio/eum/__init__.py                        2      0   100%
mikeio/eum/_eum.py                         1334      9    99%
mikeio/exceptions.py                         24      4    83%
mikeio/generic.py                           451     17    96%
mikeio/pfs/__init__.py                        8      0   100%
mikeio/pfs/_pfsdocument.py                  248     13    95%
mikeio/pfs/_pfssection.py                   223      9    96%
mikeio/spatial/_FM_geometry.py              521     24    95%
mikeio/spatial/_FM_geometry_layered.py      415     30    93%
mikeio/spatial/_FM_geometry_spectral.py      94      9    90%
mikeio/spatial/_FM_utils.py                 275     22    92%
mikeio/spatial/__init__.py                    6      0   100%
mikeio/spatial/_geometry.py                  78      8    90%
mikeio/spatial/_grid_geometry.py            639     45    93%
mikeio/spatial/_utils.py                     39      0   100%
mikeio/spatial/crs.py                        51      5    90%
mikeio/xyz.py                                14      0   100%
-------------------------------------------------------------
TOTAL                                      8168    478    94%

Cloud enabled

It is possible to run MIKE IO in your favorite cloud notebook environment e.g. Deepnote, Google Colab, etc...

DeepNote

Colab

mikeio dependencies

pyyaml tqdm xarray

FAQs

What is mikeio?

A package that uses the DHI dfs libraries to create, write and read dfs and mesh files. Visit Snyk Advisor to see a full health score report for mikeio, including popularity, security, maintenance & community analysis.

Is mikeio popular?

The python package mikeio receives a total of 1,305 weekly downloads. As such, mikeio popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is mikeio well maintained?

We found that mikeio demonstrated a healthy version release cadence and project activity. It has a community of 30 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is mikeio safe to use?

The python package mikeio 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 8 November-2024, at 00:06 (UTC).

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