Package Health Score

57 / 100

security
No known security issues
popularity
Small
maintenance
Inactive
community
Sustainable

Popularity

Small

GitHub Stars: 629
Forks: 111
Contributors: 40

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package caldwell-dirtyfields, we found that it has been starred 629 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Mar 27, 2013
Direct Vulnerabilities: 0
C
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

BSD-3-Clause

Security Policy

Yes

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Maintenance

Inactive

Commit Frequency

Open Issues: 11
Open PR: 2
Last Release: 12 years ago
Last Commit: 1 month ago

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

An important project maintenance signal to consider for caldwell-dirtyfields is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

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: Yes
Code of Conduct: No
Contributors: 40
Funding: No

With more than 10 contributors for the caldwell-dirtyfields 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 caldwell-dirtyfields is missing a Code of Conduct.

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Package

Python Versions Compatibility: Unspecified

Age: 12 years
Latest Release: 12 years ago
Dependencies: N/A
Versions: 1
Maintainers: 0
Wheels: No

Readme

Django Dirty Fields

Tracking changed fields on a Django model instance.

Makes a Mixin available that will give you the properties:

> - is_dirty > - dirty_fields

Installing

Install the package using pip. Then use the instructions in "Using the Mixin in the Model".

$ pip install django-dirtyfields

or if you're interested in developing it, use virtualenv. The default settings.py will look for the dirtyfields package in its current location.

$ virtualenv --no-site-packages ve/
$ source ve/bin/activate
(ve)$ cd example_app
(ve)$ pip install -r requirements.pip
(ve)$ ./manage.py test testing_app

Using the Mixin in the Model

from django.db import models
from dirtyfields import DirtyFieldsMixin

class TestModel(DirtyFieldsMixin, models.Model):
    """A simple test model to test dirty fields mixin with"""
    boolean = models.BooleanField(default=True)
    characters = models.CharField(blank=True, max_length=80)

Using it in the shell

(ve)$ ./manage.py shell
&gt;&gt;&gt; from testing_app.models import TestModel
&gt;&gt;&gt; tm = TestModel(boolean=True, characters="testing")
&gt;&gt;&gt; tm.save()
&gt;&gt;&gt; tm.is_dirty
False
&gt;&gt;&gt; tm.dirty_fields
()
&gt;&gt;&gt; tm.boolean = False
&gt;&gt;&gt; tm.is_dirty
True
&gt;&gt;&gt; tm.dirty_fields
('boolean', )
&gt;&gt;&gt; tm.characters = "have changed"
&gt;&gt;&gt; tm.is_dirty
True
&gt;&gt;&gt; tm.dirty_fields
('boolean', 'characters', )
&gt;&gt;&gt; tm.save()
&gt;&gt;&gt; tm.is_dirty
False
&gt;&gt;&gt; tm.get_dirty_fields
()

Why would you want this?

When using signals, especially pre_save, it is useful to be able to see what fields have changed or not. A signal could change its behaviour depending on whether a specific field has changed, whereas otherwise, you only could work on the event that the model's save() method had been called.

Credits

This code has largely be adapted from what was made available at Stack Overflow.

FAQs

What is caldwell-dirtyfields?

Tracking dirty fields on a Django model instance. Visit Snyk Advisor to see a full health score report for caldwell-dirtyfields, including popularity, security, maintenance & community analysis.

Is caldwell-dirtyfields popular?

The python package caldwell-dirtyfields receives a total of 9 weekly downloads. As such, caldwell-dirtyfields popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is caldwell-dirtyfields well maintained?

We found indications that caldwell-dirtyfields is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is caldwell-dirtyfields safe to use?

The python package caldwell-dirtyfields 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 22 December-2024, at 04:44 (UTC).

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caldwell-dirtyfields

Tracking dirty fields on a Django model instance For more information about how to use this package see README

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Package Health Score

Popularity

Direct Usage Popularity

Security

Security and license risk for latest version

Maintenance

Commit Frequency

Community

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Package

Readme

Django Dirty Fields

Installing

Using the Mixin in the Model

Using it in the shell

Why would you want this?

Credits

FAQs

What is caldwell-dirtyfields?

Is caldwell-dirtyfields popular?

Is caldwell-dirtyfields well maintained?

Is caldwell-dirtyfields safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Fix identified vulnerabilities

Monitor for new issues

Package Health Score

Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

Embed Package Health Score Badge

Keep your project healthy

Check your requirements.txt

Snyk Vulnerability Scanner

Readme

Django Dirty Fields

Installing

Using the Mixin in the Model

Using it in the shell

Why would you want this?

Credits

FAQs

What is caldwell-dirtyfields?

Is caldwell-dirtyfields popular?

Is caldwell-dirtyfields well maintained?

Is caldwell-dirtyfields 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

Monitor for new issues