Python deserves a good in-memory cache library!

This page summarizes the projects mentioned and recommended in the original post on /r/Python

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  • Caffeine

    A high performance caching library for Java

  • If you know Caffeine(Java)/Ristretto(Go)/Moka(Rust), you know what Theine is. Python deserves a good in-memory cache library.

  • ristretto

    A high performance memory-bound Go cache

  • If you know Caffeine(Java)/Ristretto(Go)/Moka(Rust), you know what Theine is. Python deserves a good in-memory cache library.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • moka

    A high performance concurrent caching library for Rust

  • If you know Caffeine(Java)/Ristretto(Go)/Moka(Rust), you know what Theine is. Python deserves a good in-memory cache library.

  • theine

    high performance in-memory cache

  • If you know Caffeine(Java)/Ristretto(Go)/Moka(Rust), you know what Theine is. Python deserves a good in-memory cache library.

  • theine-core

    theine-py rust core

  • High performance Rust core

  • cacheme

    Asyncio cache framework for Python

  • Also if you are looking for a good cache framework, maybe Cacheme can help you.

  • cachetools

    Extensible memoizing collections and decorators

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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