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A Django framework for application-layer rate limiting

Project description

a framework for implementing application-specific rate-limiting middleware for Django projects

Build Status

What this module is intended for:

Implementing application-level (or just below) rate-limiting rules. Often, these rules would be expressed as “max # requests within a defined time period”. E.g.:

  • an IP address may make at most 1500 requests/day
  • users with an OAuth access token may make 500 reads/hour and 200 writes/hour

What it is not intended for:

A token bucket or leaky bucket filter: intended primarily for traffic shaping, those algorithms are implemented by firewalls and servers such as nginx.


  1. Install the library with pip:

    sudo pip install django-throttle-requests
  2. Add the directory throttle to your project’s PYTHONPATH.

  3. Insert the following configuration into your project’s settings:

        'default': {
            'NUM_BUCKETS':2,  # Number of buckets worth of history to keep. Must be at least 2
            'BUCKET_INTERVAL':15 * 60  # Period of time to enforce limits.
            'BUCKET_CAPACITY':50,  # Maximum number of requests allowed within BUCKET_INTERVAL
    # Where to store request counts.
    THROTTLE_BACKEND = 'throttle.backends.cache.CacheBackend'
    # Optional after Redis backend is chosen ('throttle.backends.redispy.RedisBackend')
    THROTTLE_REDIS_HOST = 'localhost'
    # Force throttling when DEBUG=True
  4. Use the @throttle decorator to enforce throttling rules on a view:

    from throttle.decorators import throttle
    def myview(request):
  5. Also works with class-based views:

    from django.views.generic import View
    from django.utils.decorators import method_decorator
    from throttle.decorators import throttle
    class TestView(View):
        def dispatch(self, *args, **kwargs):
            return super(TestView, self).dispatch(*args, **kwargs)
        def head(self, request):
        def get(self, request):

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