# minio/simdjson-go

Golang port of simdjson: parsing gigabytes of JSON per second

Repository: https://github.com/minio/simdjson-go
Canonical: https://ross.abutalabs.com/products/simdjson-go
Language: Go
License: Apache-2.0
License Family: permissive
Topics: tape, tape-format, json-files, simdjson, golang-standard, json-document, ndjson
Last push: 2025-08-26T16:59:04+00:00

## Health v2 (maintenance only)
Score: 40/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 38, release rhythm 8, longevity 100
- inputs: {"age_days": 2396, "days_push": 372, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2038, forks 110 (observed 2026-08-28T04:06:08.227394+00:00)

## What it is
A pure Go port of the simd high-performance JSON parser that uses SIMD instructions to parse gigabytes of JSON per second. It provides validating parsing, NDJSON support, and iterator-based traversal of parsed JSON documents.

## Use cases
- parse gigabytes of JSON fast in Go
- process newline-delimited JSON streams
- replace encoding/ for performance-critical parsing
- traverse and search large JSON documents
- validate JSON values while parsing
- re-serialize parts of parsed JSON

## When to choose
- you need JSON parsing throughput far beyond encoding/ in Go
- your target CPUs support AVX2 and CLMUL
- you handle large or NDJSON workloads

## When to avoid
- you need portability to CPUs without AVX2/CLMUL
- you need simple encoding/marshaling rather than raw parsing speed
- you use gccgo

## Facets
- artifact type: library
- maturity: active
- function: parser, serialization
- domain: parsers, developer-tools, performance
- platform: go, windows
- tags: simd, nd, high-performance, tape-format, linux, macos

## Member repositories
- minio/simdjson-go (main) score 40

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:08.227394+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:59:15.233609+00:00, confidence not recorded.
  - readme: https://github.com/minio/simdjson-go (fetched 2026-08-28T04:06:08.227394+00:00, sha 1f966e30aa34)
- Data as of 2026-08-30T08:39:29.467469+00:00.