Ross ROSS = Recommend OSS · open-source software intelligence for agents

pquerna/ffjson

faster JSON serialization for Go observed · 2026-08-28

github.com/pquerna/ffjson · Go · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 4549
  • days_rel: n/a
  • days_push: 1077
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2993 stars · 234 forks observed · 2026-08-28

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

ffjson is a Go code generator that emits static MarshalJSON and UnmarshalJSON functions for your struct types, removing the runtime reflection overhead of encoding/json. The generated code is a drop-in replacement implementing the standard encoding/json interfaces, typically making serialization and deserialization 2 to 3 times faster with no changes to calling code.

Use cases

  • speed up JSON serialization in Go
  • avoid reflection overhead when encoding Go structs to JSON
  • generate MarshalJSON and UnmarshalJSON implementations for my structs
  • find a faster drop-in replacement for encoding/json
  • optimize high-throughput JSON parsing in a Go API
  • reduce JSON encoding CPU cost in hot code paths

When to choose

  • JSON marshaling/unmarshaling shows up prominently in your Go application's CPU profile
  • you want to keep full compatibility with the encoding/json interfaces and fall back to it automatically for unsupported types
  • your struct definitions change rarely, or you can wire code generation into your build process

When to avoid

  • your structs change frequently and regenerating code on every change is impractical
  • your JSON workloads are small enough that encoding/json performance is not a bottleneck
  • you prefer runtime drop-in serializers that require no code generation step

Facets

cli-tool · maturity maintenance

serialization json cli developer-tools developer-tools web-development apis performance go cli cross-platform code-generation go-codegen drop-in-replacement reflection-free marshaljson unmarshaljson json-serialization encoding-json

1 source

Member repositories

RepositoryRoleHealth v2
pquerna/ffjsonmain32

For agents

markdown · JSON · MCP: product_card(name="pquerna/ffjson")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem