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Concurrency-safe Go caching library with expiration capabilities and access counters
The main features of muesli/cache2go are: Caching Libraries, Databases.
Projects with overlapping indexed features include: codingsince1985/couchcache — A RESTful caching micro-service in Go backed by Couchbase. golang/groupcache — Groupcache is a distributed caching library designed to coordinate data retrieval and storage across a cluster of… allegro/bigcache — Bigcache is a thread-safe, in-memory key-value store for Go designed to minimize garbage collection pauses. It… bluele/gcache — An in-memory cache library for golang. It supports multiple eviction policies: LRU, LFU, ARC. etcd-io/bbolt — bbolt is an ACID-compliant embedded key-value store for Go applications. It persists all data in a single… hdt3213/godis — Godis is a Redis-compatible in-memory database and distributed key-value store. It functions as a replicated data…
An in-memory cache library for golang. It supports multiple eviction policies: LRU, LFU, ARC
A RESTful caching micro-service in Go backed by Couchbase
Bigcache is a thread-safe, in-memory key-value store for Go designed to minimize garbage collection pauses. It functions as a memory-optimized cache capable of storing gigabytes of data while maintaining low latency during high-volume operations. The system avoids garbage collection overhead by managing memory through large byte arrays and manual allocation. It utilizes a circular-buffer layout to reuse space and lock-striped sharding to reduce contention during concurrent read and write access. The project provides capabilities for high-volume in-memory caching and low-latency data retrieva
bbolt is an ACID-compliant embedded key-value store for Go applications. It persists all data in a single memory-mapped file on disk, organizing information using B+ trees to facilitate sorted key iteration and efficient range queries. The project distinguishes itself through a hierarchical data organization model, allowing buckets to be nested within other buckets to create a tree-like structure. It employs a single-writer, multi-reader locking mechanism and copy-on-write transactions to ensure serializable isolation and data integrity. The system includes comprehensive data management capa