Lightweight Python utilities for working with Redis.

The purpose of walrus is to make working with Redis in Python a little easier. Rather than ask you to learn a new library, walrus subclasses and extends the popular redis-py client, allowing it to be used as a drop-in replacement. In addition to all the features in redis-py, walrus adds support for some newer commands, including full support for streams and consumer groups.

walrus consists of:

Pythonic container classes for the Redis data-types:

Hash

List

Set

Sorted Set

HyperLogLog

Array (custom type)

BitField

BloomFilter

Streams

Autocomplete

Cache implementation that exposes several decorators for caching function and method calls.

Full-text search supporting set operations.

Graph store

Rate-limiting

Locking

Experimentalactive-record style Models that support persisting structured information and performing complex queries using secondary indexes.

More? More!

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.

Please open a github issue and I will try my best to fix it!

Walrus also can integrate with the Redis-like databases rlite, ledis, and vedis. Check the documentation for more details.