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
• Experimental active-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.