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A robust and versatile throttling implementation relying on the token bucket algorithm.

Project Description

The throttle library provides a robust and versatile throttling mechanism for Python.

It can be used in multiple environments, from a single thread to a distributed
server cluster.

It supports Python versions 2.6 to 3.3.


In order to perform throttling tasks, simply use the :meth:`~throttle.throttle`

.. code-block:: python

import throttle

def some_fun(uid):
if not throttle.check(key=uid, rate=30, size=10):
raise ThrottleError()
# Do the job


throttle uses the "token bucket" algorithm: for each key, a virtual bucket

Whenever a new request gets in, the algorithm performs the following actions:

- Test if adding the request's cost to the bucket would exceed its capacity;
in that case, return False
- Otherwise, add the request's cost to the bucket, and return True

Simultaneously, the bucket's current value is decremented at the chosen rate.

This allows for temporary bursts and average computations.


From pip (

.. code-block:: sh

$ pip install throttle

From Github:

.. code-block:: sh

$ git clone git://
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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
throttle-memcache-0.1.5.tar.gz (5.6 kB) Copy SHA256 Checksum SHA256 Source Mar 8, 2016

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