| probed | pottery | |
|---|---|---|
| 1 | 5 | |
| 4 | 1,143 | |
| - | 1.7% | |
| 2.3 | 7.6 | |
| about 2 years ago | 11 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
probed
Posts with mentions or reviews of probed.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-06-01.
pottery
Posts with mentions or reviews of pottery.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-05-24.
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Is Redis om production ready? Or will it be production ready anytime soon?
However, as an alternative, consider my library, Pottery. Pottery offers some similar functionality to Redis OM, and Pottery is production ready.
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Is there any way for hGetAll to return a key-value pair list instead of a simple list?
This isn’t for Node.js… But if you’re using Python, you might want to check out Pottery. Pottery provides the functionality you’re describing and much more.
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What are incredible Python modules you can build entire projects around?
Shameless plug: Pottery: Redis for Humans. Its goal it to make Redis far easier to use by exposing Redis functionality via native Pythonic APIs like dicts, sets, lists, locks, etc.
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Worth wrapping pottery functions for compliance with async?
I have a question about https://github.com/brainix/pottery. It provides a nice Pythonic API by wrapping Redis constructs with Python Redis-backed data structures (Dict, Deque, etc.). I am using it in a Fastapi microservice project, which is obviously async.
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Solving The Three Stooges Problem
Pottery — Pythonic Redis utilities, including a distributed lock
What are some alternatives?
When comparing probed and pottery you can also consider the following projects:
sections - Easy Python tree data structures
fastapi-redis-cache - A simple and robust caching solution for FastAPI that interprets request header values and creates proper response header values (powered by Redis)
viewable - Class to implement a GUI view with lifecycle
aioredis - asyncio (PEP 3156) Redis support
shared - Data exchange and persistence based on human-readable files
RPA-Python - Python package for doing RPA