Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/heyman/django-mstats
Simple, re-usable, stateless Django app for visualizing and browsing statistics, mainly based on your existing Django models.
https://github.com/heyman/django-mstats
Last synced: 1 day ago
JSON representation
Simple, re-usable, stateless Django app for visualizing and browsing statistics, mainly based on your existing Django models.
- Host: GitHub
- URL: https://github.com/heyman/django-mstats
- Owner: heyman
- Created: 2014-07-10T10:24:01.000Z (over 10 years ago)
- Default Branch: master
- Last Pushed: 2014-07-14T10:37:12.000Z (over 10 years ago)
- Last Synced: 2024-10-07T21:41:24.420Z (about 1 month ago)
- Language: Python
- Size: 156 KB
- Stars: 2
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.rst
Awesome Lists containing this project
README
=============
Django MStats
=============**Please note**: *Django MStats is in early development and the API is very likely to change.*
MStats is a super simple, re-usable, stateless Django app for visualizing and browsing statistics, mainly
based on existing Django models.My motivation for creating MStats is to have a dead simple way, with as little effort as possible, to get
visualization of key metrics in different Django projects.The goal of Django MStats is *not* to be the ultimate metrics/statistics solution™. It will not support
different backends for different Metrics services and databases. MStats makes all queries in real-time,
and does not store any permanent data itself, even though Django's cache might be used.In other words, Django MStats is a reusable app for those who want to get basic statistics browsing with
minimum effort. Since MStats is stateless, it can easily be tested out, and thrown away in favor of
something more advanced, if a project grow out of it.What does M in Mstats stand for?
================================Model or Mini. Whichever you like best.
Requirements
============Currently MStats depends on PostgreSQL, because it uses a Postgres specific SQL functions for retrieving
stats.Installation
============1. Install from PyPI::
pip install django-mstats
2. Add django_mstats to INSTALLED_APPS
3. Add URL route to your urls.py::
url(r"^mstats/", include("django_mstats.urls")),
4. Create **mstats.py** file(s) in your Django apps (see below).
Defining different metrics
==========================Once you have added django_mstats to your INSTALLED_APPS, you can create mstats.py files within your
Django apps. In those files you should create classes that inherits from ModelStats. Below are some
examples.Statistics for newly registered users::
from django_mstats.models import ModelStats
from django.contrib.auth.models import User
class NewUsers(ModelStats):
model = User
datetime_field = "date_joined"Specifying a name::
class NewUsers(ModelStats):
model = User
datetime_field = "date_joined"
name = "User registrations"Author
======Django-MStats is developed by `Jonatan Heyman `_.
License
=======BSD License