walrus
Project description
## Walrus
Lightweight Python utilities for working with [Redis](http://redis.io).
The purpose of [walrus](https://github.com/coleifer/walrus) is to make working with Redis in Python a little easier by wrapping rich objects in Pythonic containers. walrus consists of:
- Wrappers for the Redis object types:
[Hash](https://walrus.readthedocs.org/en/latest/containers.html#hashes)
[List](https://walrus.readthedocs.org/en/latest/containers.html#lists)
[Set](https://walrus.readthedocs.org/en/latest/containers.html#sets)
[Sorted Set](https://walrus.readthedocs.org/en/latest/containers.html#sorted-sets-zset)
[HyperLogLog](https://walrus.readthedocs.org/en/latest/containers.html#hyperloglog)
[Array](https://walrus.readthedocs.org/en/latest/containers.html#arrays) (custom type)
A simple [Cache](https://walrus.readthedocs.org/en/latest/cache.html) implementation that exposes several decorators for caching function and method calls.
Lightweight data [Model](https://walrus.readthedocs.org/en/latest/models.html) objects that support persisting structured information and performing complex queries using secondary indexes.
### Models
Persistent structures implemented on top of Hashes. Supports secondary indexes to allow filtering on equality, inequality, ranges, less/greater-than, and a basic full-text search index. The full-text search features a boolean search query parser, porter stemmer, stop-word filtering, and optional double-metaphone implementation.
### Found a bug?
Please open a [github issue](https://github.com/coleifer/walrus/issues/new) and I will try my best to fix it!
### Alternative Backends
Walrus also can integrate with the Redis-like databases [rlite](https://github.com/seppo0010/rlite), [ledis](http://ledisdb.com/), and [vedis](http://vedis.symisc.net). Check the [documentation](http://walrus.readthedocs.org/en/latest/alt-backends.html) for more details.
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