openacid/slim

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1923 stars · 100 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Slim is a Go library providing space-efficient data structures, most notably SlimTrie, a compacted trie that uses only about 11 bits per key with ~100 ns lookups. It serves as a minimized in-memory index for locating data stored externally on disk or over the network, with serialization support for persistence and transport.

Use cases

• index huge on-disk key-value stores with minimal memory
• build a sparse in-memory index over external data
• perform range scans over sorted keys with low memory overhead
• store a compact set of keys as a filter in memory
• persist a compact index to disk or serialize it for transport
• reduce memory footprint of key lookup structures in Go services

When to choose

• you need to index millions or billions of keys in limited memory
• your data lives on disk and you only need to know where it is
• you want a faster, more compact alternative to hash maps or B-trees for static key sets
• you need a serializable, stable-memory index structure in Go

When to avoid

• your key set changes frequently, since the trie is built for mostly static data
• you need rich per-key values stored in memory rather than just locations
• you are not working in Go
• you need dynamic insert/delete-heavy workloads with guaranteed latency

Facets

library · maturity stable

search-engine serialization developer-tools databases performance developer-tools go cross-platform trie compact-data-structures memory-efficient index key-value algorithms

Member repositories

For agents

markdown · JSON · MCP: product_card(name="openacid/slim")