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Forks 90

Last Commit 24 days ago

Description

Lightweight Python utilities for working with Redis.

The purpose of walrus is to make working with Redis in Python a little easier by wrapping rich objects in Pythonic containers. walrus consists of:

Programming language: Python

License: MIT License

Tags: NoSQL Databases ORM Redis

Latest version: v0.9.2

walrus alternatives and similar packages

Based on the "NoSQL Databases" category.
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MongoEngine

8.1 8.5 L2 walrus VS MongoEngine

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PynamoDB

6.6 8.7 L3 walrus VS PynamoDB

A pythonic interface to Amazon's DynamoDB

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django-mongodb-engine

4.8 0.0 L3 walrus VS django-mongodb-engine

Django MongoDB Backend
redisco

3.6 0.0 L4 walrus VS redisco

A Python Library for Simple Models and Containers Persisted in Redis
hot-redis

2.9 0.0 L4 walrus VS hot-redis

Rich Python data types for Redis
flywheel

2.2 0.0 L4 walrus VS flywheel

Object mapper for Amazon's DynamoDB
python-stdnet

2.2 0.0 walrus VS python-stdnet

Object-data mapper and advanced query manager for non relational databases

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They vary from L1 to L5 with "L5" being the highest.

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README

Walrus

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!

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 and I will try my best to fix it!

Alternative Backends

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