Package Health Score

67 / 100

security
No known security issues
popularity
Popular
maintenance
Inactive
community
Active

Popularity

Popular

GitHub Stars: 1.2K
Forks: 168
Contributors: 40

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package django-analytical, we found that it has been starred 1,200 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Mar 15, 2022
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

MIT

Security Policy

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Maintenance

Inactive

Commit Frequency

No Recent Commits

Open Issues: 32
Open PR: 8
Last Release: 3 years ago
Last Commit: 2 years ago

Further analysis of the maintenance status of django-analytical 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 django-analytical 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

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 40
Funding: Yes

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

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Package

Python Versions Compatibility: >=3.6

Age: 14 years
Latest Release: 3 years ago
Dependencies: N/A
Versions: 42
Maintainers: 3
Wheels: OS Independent

Readme

django-analytical

The django-analytical application integrates analytics services into a Django project.

Using an analytics service with a Django project means adding Javascript tracking code to the project templates. Of course, every service has its own specific installation instructions. Furthermore, you need to include your unique identifiers, which then end up in the templates. Not very nice.

This application hides the details of the different analytics services behind a generic interface, and keeps personal information and configuration out of the templates. Its goal is to make the basic set-up very simple, while allowing advanced users to customize tracking. Each service is set up as recommended by the services themselves, using an asynchronous version of the Javascript code if possible.

Currently Supported Services

Chartbeat traffic analysis
Clickmap visual click tracking
Clicky traffic analysis
Crazy Egg visual click tracking
Facebook Pixel advertising analytics
Gaug.es real time web analytics
Google Analytics traffic analysis
GoSquared traffic monitoring
Heap analytics and events tracking
Hotjar analytics and user feedback
HubSpot inbound marketing
Intercom live chat and support
KISSinsights feedback surveys
KISSmetrics funnel analysis
Lucky Orange analytics and user feedback
Mixpanel event tracking
Olark visitor chat
Optimizely A/B testing
Performable web analytics and landing pages
Matomo (formerly Piwik) open source web analytics
Rating\@Mail.ru web analytics
SnapEngage live chat
Spring Metrics conversion tracking
UserVoice user feedback and helpdesk
Woopra web analytics
Yandex.Metrica web analytics

Documentation and Support

The documentation can be found in the docs directory or read online. The source code and issue tracker are generously hosted by GitHub. Bugs should be reported there, whereas for lengthy chats and coding support when implementing new service integrations you're welcome to use our Gitter chat room.

How To Contribute

If you want to help out with the development of django-analytical, by posting detailed bug reports, proposing new features or other analytics services to support, or suggesting documentation improvements, use the issue tracker. If you want to get your hands dirty, great! Clone the repository, make changes and place a pull request. Creating an issue to discuss your plans is useful.

This is a Jazzband project. By contributing you agree to abide by the Contributor Code of Conduct and follow the guidelines.

FAQs

What is django-analytical?

Analytics service integration for Django projects. Visit Snyk Advisor to see a full health score report for django-analytical, including popularity, security, maintenance & community analysis.

Is django-analytical popular?

The python package django-analytical receives a total of 10,000 weekly downloads. As such, django-analytical popularity was classified as a popular. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is django-analytical well maintained?

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

Is django-analytical safe to use?

The python package django-analytical 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 5 November-2024, at 08:43 (UTC).

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django-analytical

Analytics service integration for Django projects 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-analytical

Currently Supported Services

Documentation and Support

How To Contribute

FAQs

What is django-analytical?

Is django-analytical popular?

Is django-analytical well maintained?

Is django-analytical 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

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Snyk Vulnerability Scanner

Readme

django-analytical

Currently Supported Services

Documentation and Support

How To Contribute

FAQs

What is django-analytical?

Is django-analytical popular?

Is django-analytical well maintained?

Is django-analytical safe to use?

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Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

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