Package Health Score

66 / 100

security
No known security issues
popularity
Limited
maintenance
Healthy
community
Limited

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Popularity

Limited

GitHub Stars: 43
Forks: 9
Contributors: 4

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package pyIEM, we found that it has been starred 43 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Sep 6, 2024
Direct Vulnerabilities: 0
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0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
0
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

MIT

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 25
Open PR: 0
Last Release: 2 months ago
Last Commit: 2 days ago

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

We found that pyIEM 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

Limited

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 4
Funding: No

This project has seen only 10 or less contributors.

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Package

Python Versions Compatibility: Unspecified

Age: 8 years
Latest Release: 2 months ago
Dependencies: 26 Direct
Versions: 38
Maintainers: 1
Wheels: No

Readme

pyIEM

A collection of python code that support various other python projects I have and the Iowa Environmental Mesonet. A goal here is to upstream anything useful into Unidata's MetPy and also remove any redundant code.

Current release info

Name	Downloads	Version	Platforms

Dependencies

Python 3.9+ is required. Python releases 3.9 through 3.11 are actively tested and supported within this repository.

The codebase currently makes direct database calls with hardcoded assumptions of the hostname iemdb.local and database names. Someday, I'll use a proper ORM and software design techniques to make this more extensible for others!

Installation

Since this library depends on Cartopy, you likely do not want to let pip install Cartopy. So the installation options are either:

Install Cartopy via some other mechanism than pip.
Install pyiem via pip.

Or:

Install pyiem via conda using the conda-forge channel.

How to use NWS product ingestors

This library provides a number of parsers for various NWS products. The implementation of these parsers can be found with my pyWWA project. The main limitation is that the pyWWA parsers use Twisted Python and thus have a somewhat steep learning curve. The pyIEM parsers do not require the usage of Twisted though, so how does one use them?

The general entry point for a text product is the parser method of pyiem.nws.products. So given a NWS text file, the code would look like.

from pyiem.nws.products import parser
text = open('MYFILE.txt').read()
prod = parser(text)
print(prod.get_product_id())

The actual methods and attributes on the prod object above will vary depending on the type of product involved.

pyIEM dependencies

affine defusedxml docutils geopandas jinja2 metar metpy netcdf4 nh3 numpy pandas paste pillow psycopg pyarrow pydantic pygrib pymemcache pyogrio pyproj rasterio rasterstats requests scipy shapely xarray

FAQs

What is pyIEM?

Collection of things that may help with processing weather data. Visit Snyk Advisor to see a full health score report for pyIEM, including popularity, security, maintenance & community analysis.

Is pyIEM popular?

The python package pyIEM receives a total of 187 weekly downloads. As such, pyIEM popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is pyIEM well maintained?

We found that pyIEM demonstrated a healthy version release cadence and project activity. It has a community of 4 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is pyIEM safe to use?

The python package pyIEM 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 14 November-2024, at 03:26 (UTC).

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pyIEM

Collection of things that may help with processing weather data. For more information about how to use this package see README

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Package

Readme

pyIEM

Current release info

Dependencies

Installation

How to use NWS product ingestors

pyIEM dependencies

FAQs

What is pyIEM?

Is pyIEM popular?

Is pyIEM well maintained?

Is pyIEM safe to use?

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Package Health Score

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Direct Usage Popularity

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Commit Frequency

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Readme

pyIEM

Current release info

Dependencies

Installation

How to use NWS product ingestors

pyIEM dependencies

FAQs

What is pyIEM?

Is pyIEM popular?

Is pyIEM well maintained?

Is pyIEM safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

Fix identified vulnerabilities

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