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17 changes: 8 additions & 9 deletions LICENSE
@@ -1,13 +1,12 @@
Copyright 2016-2018 Grant Jenks
Copyright 2016-2019 Grant Jenks

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
Licensed under the Apache License, Version 2.0 (the "License"); you may not use
this file except in compliance with the License. You may obtain a copy of the
License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
Unless required by applicable law or agreed to in writing, software distributed
under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
CONDITIONS OF ANY KIND, either express or implied. See the License for the
specific language governing permissions and limitations under the License.
27 changes: 13 additions & 14 deletions README.rst
Expand Up @@ -62,7 +62,7 @@ Features
- Thread-safe and process-safe
- Supports multiple eviction policies (LRU and LFU included)
- Keys support "tag" metadata and eviction
- Developed on Python 2.7
- Developed on Python 3.7
- Tested on CPython 2.7, 3.4, 3.5, 3.6, 3.7 and PyPy
- Tested on Linux, Mac OS X, and Windows
- Tested using Travis CI and AppVeyor CI
Expand Down Expand Up @@ -111,8 +111,8 @@ introduction, benchmarks, development, and API.
.. _`DiskCache API Reference`: http://www.grantjenks.com/docs/diskcache/api.html
.. _`DiskCache Development`: http://www.grantjenks.com/docs/diskcache/development.html

Reference and Indices
---------------------
Reference
---------

* `DiskCache Documentation`_
* `DiskCache at PyPI`_
Expand All @@ -124,21 +124,20 @@ Reference and Indices
.. _`DiskCache at GitHub`: https://github.com/grantjenks/python-diskcache/
.. _`DiskCache Issue Tracker`: https://github.com/grantjenks/python-diskcache/issues/

DiskCache License
-----------------
License
-------

Copyright 2016-2018 Grant Jenks
Copyright 2016-2019 Grant Jenks

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
Licensed under the Apache License, Version 2.0 (the "License"); you may not use
this file except in compliance with the License. You may obtain a copy of the
License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
Unless required by applicable law or agreed to in writing, software distributed
under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
CONDITIONS OF ANY KIND, either express or implied. See the License for the
specific language governing permissions and limitations under the License.

.. _`DiskCache`: http://www.grantjenks.com/docs/diskcache/
137 changes: 2 additions & 135 deletions docs/index.rst
@@ -1,102 +1,7 @@
DiskCache: Disk Backed Cache
============================

`DiskCache`_ is an Apache2 licensed disk and file backed cache library, written
in pure-Python, and compatible with Django.

The cloud-based computing of 2018 puts a premium on memory. Gigabytes of empty
space is left on disks as processes vie for memory. Among these processes is
Memcached (and sometimes Redis) which is used as a cache. Wouldn't it be nice
to leverage empty disk space for caching?

Django is Python's most popular web framework and ships with several caching
backends. Unfortunately the file-based cache in Django is essentially
broken. The culling method is random and large caches repeatedly scan a cache
directory which slows linearly with growth. Can you really allow it to take
sixty milliseconds to store a key in a cache with a thousand items?

In Python, we can do better. And we can do it in pure-Python!

::

In [1]: import pylibmc
In [2]: client = pylibmc.Client(['127.0.0.1'], binary=True)
In [3]: client[b'key'] = b'value'
In [4]: %timeit client[b'key']

10000 loops, best of 3: 25.4 µs per loop

In [5]: import diskcache as dc
In [6]: cache = dc.Cache('tmp')
In [7]: cache[b'key'] = b'value'
In [8]: %timeit cache[b'key']

100000 loops, best of 3: 11.8 µs per loop

**Note:** Micro-benchmarks have their place but are not a substitute for real
measurements. DiskCache offers cache benchmarks to defend its performance
claims. Micro-optimizations are avoided but your mileage may vary.

DiskCache efficiently makes gigabytes of storage space available for
caching. By leveraging rock-solid database libraries and memory-mapped files,
cache performance can match and exceed industry-standard solutions. There's no
need for a C compiler or running another process. Performance is a feature and
testing has 100% coverage with unit tests and hours of stress.

Testimonials
------------

Does your company or website use `DiskCache`_? Send us a `message
<contact@grantjenks.com>`_ and let us know.

Features
--------

- Pure-Python
- Fully Documented
- Benchmark comparisons (alternatives, Django cache backends)
- 100% test coverage
- Hours of stress testing
- Performance matters
- Django compatible API
- Thread-safe and process-safe
- Supports multiple eviction policies (LRU and LFU included)
- Keys support "tag" metadata and eviction
- Developed on Python 3.7
- Tested on CPython 2.7, 3.4, 3.5, 3.6, 3.7 and PyPy
- Tested on Linux, Mac OS X, and Windows
- Tested using Travis CI and AppVeyor CI

.. image:: https://api.travis-ci.org/grantjenks/python-diskcache.svg?branch=master
:target: http://www.grantjenks.com/docs/diskcache/

.. image:: https://ci.appveyor.com/api/projects/status/github/grantjenks/python-diskcache?branch=master&svg=true
:target: http://www.grantjenks.com/docs/diskcache/

Quickstart
----------

Installing DiskCache is simple with
`pip <http://www.pip-installer.org/>`_::

$ pip install diskcache

You can access documentation in the interpreter with Python's built-in help
function::

>>> from diskcache import Cache, FanoutCache, DjangoCache
>>> help(Cache)
>>> help(FanoutCache)
>>> help(DjangoCache)

User Guide
----------

For those wanting more details, this part of the documentation describes
introduction, benchmarks, development, and API.
.. include:: ../README.rst

.. toctree::
:maxdepth: 1
:hidden:

tutorial
cache-benchmarks
Expand All @@ -105,41 +10,3 @@ introduction, benchmarks, development, and API.
sf-python-2017-meetup-talk
api
development

Reference and Indices
---------------------

* `DiskCache Documentation`_
* `DiskCache at PyPI`_
* `DiskCache at GitHub`_
* `DiskCache Issue Tracker`_
* :ref:`search`
* :ref:`genindex`

.. _`DiskCache Documentation`: http://www.grantjenks.com/docs/diskcache/
.. _`DiskCache at PyPI`: https://pypi.python.org/pypi/diskcache/
.. _`DiskCache at GitHub`: https://github.com/grantjenks/python-diskcache/
.. _`DiskCache Issue Tracker`: https://github.com/grantjenks/python-diskcache/issues/

Apache2 License
---------------

A large number of open source projects you find today are `GPL Licensed`_.
A project that is released as GPL cannot be used in any commercial product
without the product itself also being offered as open source.

The MIT, BSD, ISC, and Apache2 licenses are great alternatives to the GPL
that allow your open-source software to be used freely in proprietary,
closed-source software.

DiskCache is released under terms of the `Apache2 License`_.

.. _`GPL Licensed`: http://www.opensource.org/licenses/gpl-license.php
.. _`Apache2 License`: http://opensource.org/licenses/Apache-2.0

DiskCache License
-----------------

.. include:: ../LICENSE

.. _`DiskCache`: http://www.grantjenks.com/docs/diskcache/

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