ijl/orjson
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy observed · 2026-08-28
Health v2 · maintenance only
98/100
- Activity 98
- Release rhythm 98
- Longevity 100
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: 21
- age_days: 2842
- days_rel: 19
- days_push: 13
- n_releases_24m: 22
Adoption not part of the score
8214 stars · 327 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
orjson is a fast, correct JSON serialization/deserialization library for Python, implemented in Rust via PyO3. It natively serializes dataclasses, datetimes, numpy arrays, and UUIDs, and benchmarks significantly faster than the standard json library.
Use cases
- serialize json faster than the standard library
- serialize dataclasses and datetimes to json
- serialize numpy arrays to json
- parse json strictly per RFC 8259
- speed up json encoding in a python api
- dump json with uuid support
When to choose
- you need maximum JSON serialization/deserialization performance in CPython
- you need native serialization of dataclasses, datetimes, numpy arrays, or UUIDs
- you need strict RFC 8259 and UTF-8 compliance
When to avoid
- you need file or line-delimited JSON I/O helpers
- you use PyPy, embedded Python on Android/iOS, or subinterpreters
- you need a pure-Python dependency
Facets
library · maturity stable
serialization parser developer-tools apis python windows json rust pyo3 performance dataclasses numpy datetime data-engineering linux macos
1 source
- readme: https://github.com/ijl/orjson · fetched 2026-08-28 · c31a428b744d
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ijl/orjson | main | 98 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem