Cache Libraries

17 Components & Libraries

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Cache Libraries

🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.

Boltons is tested against Python 3.7-3.12, as well as PyPy3. Boltons can be added to a project in a few ways. There's the obvious one:

Python disk-backed cache (Django-compatible). Faster than Redis and Memcached. Pure-Python.

The cloud-based computing of 2023 puts a premium on memory. Gigabytes of empty space is left on disks as processes vie for memory. Among these processes is Memcached (and sometimes Redis) which is us…

No effort, no worry, maximum performance.

Caches your Django ORM queries and automatically invalidates them. Table of Contents: Cachalot officially supports Python 3.7-3.11 and Django 3.2, 4.1, 4.2 with the databases PostgreSQL, SQLite, and …

Rate Limiting extension for Flask

You can configure rate limits at different levels such as:

fastapi-cache is a tool to cache fastapi response and function result, with backends support redis and memcached.

or or or It is not sufficient to configure a response model in the route decorator; the cache needs to know what the method itself returns. If no return type decorator is given, the primitive JSON ty…

A caching extension for Flask

This is a project template which uses FastAPI, Alembic and async SQLModel as ORM. It shows a complete async CRUD using authentication and role base access control.

Developing web applications can be a challenging process, especially when dealing with databases, authentication, asynchronous tasks, and other complex components. Our template is designed to simplif…

An extendable async API using FastAPI, Pydantic V2, SQLAlchemy 2.0, PostgreSQL and Redis.

Start by using the template, and naming the repository to what you want. Then clone your created repository (I'm using the base for the example) For database administration using PGAdmin create the f…

FastAPI framework plugins

Add information about plugin system. Add information about settings. Add information about configuration of an application This project is licensed under the terms of the MIT license.

Cache with async power

Cache plays a significant role in modern applications and everybody wants to use all the power of async programming and cache. There are a few advanced techniques with cache and async programming tha…

A simple way to manage your project settings.

A simple way to manage your project settings. simple-settings reads and stores all variables (or constants if you prefer) of a python module that you specify. To store your settings you need at least…

A telegram bot for searching.

The bot is built based on Python3, supports one-click deployment with Docker, and implements caching functions through Redis. The following functions are sorted by development completion time, and ne…

Elara DB is an easy to use, lightweight persistent key-value store that can also be used as a fast in-memory cache. Manipulate data structures in-memory, encrypt database files and export data. :dart:

Elara DB is an easy to use, lightweight key-value database written for python that can also be used as a fast in-memory cache for JSON-serializable data. Includes various methods and features to mani…

FastAPI & Kubernetes Tutorial with PyCharm

Welcome to the FastAPI & Kubernetes Tutorial Series with PyCharm & AWS EKS. Before starting up this project, make sure you have an AWS account and PyCharm installed in your machine. Make sure…

One-click GitHub Actions pipelines for Python!

A simple and robust caching solution for FastAPI that interprets request header values and creates proper response header values (powered by Redis)

If a duration that you would like to use throughout your project is missing from the list, you can easily create your own: The source of each value used to construct this cache key is given below: He…