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

justrach/turboAPI

FastAPI-compatible Python framework with Zig HTTP core; 7x faster, free-threading native observed · 2026-09-03

github.com/justrach/turboAPI · homepage · Zig · MIT (permissive) observed · 2026-09-03

Health v2 · maintenance only

87/100

  • Activity 100
  • Release rhythm 99
  • Longevity 38
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: 0
  • age_days: 536
  • days_rel: 7
  • days_push: 2
  • n_releases_24m: 50

Full methodology

Adoption not part of the score

1002 stars · 29 forks observed · 2026-09-03

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

TurboAPI is a FastAPI-compatible Python web framework whose HTTP layer is implemented in Zig, offering drop-in migration by changing a single import line. It provides Zig-native request validation (dhi models), zero-copy response handling, and native support for Python 3.14 free-threading for high-throughput APIs.

Use cases

  • migrate an existing FastAPI app to a faster runtime without rewriting code
  • build high-throughput JSON REST APIs in Python
  • serve APIs with lower latency than FastAPI or Flask
  • run Python web servers on free-threaded Python 3.14 without GIL contention
  • validate request bodies with Pydantic-style models at native speed
  • mount C or Zig handlers for ultra-hot endpoints

When to choose

  • you have an existing FastAPI codebase and need more throughput
  • you can run Python 3.13+/3.14t and want a drop-in performance upgrade
  • your workload is HTTP-heavy and benefits from zero-copy parsing and native validation
  • you want FastAPI ergonomics (decorators, dependency injection, OpenAPI) with a faster core

When to avoid

  • you need TLS, HTTP/2, or HTTP/3 natively - it requires an edge proxy like nginx or Caddy
  • you need production-grade stability - the project is explicitly alpha with a changing API surface
  • you rely on WebSockets at scale - support is still in progress and limited
  • your deployment depends on C extensions that are not free-threading-safe
  • you need configurable request body limits beyond the hardcoded 16MB cap

Facets

framework · maturity experimental

web-framework http-server api-framework serialization middleware auth routing web-development backend apis performance python cross-platform cli fastapi-compatible drop-in-replacement free-threaded-python zig-http-core zero-copy pydantic-alternative openapi alpha-software zig

4 sources

Member repositories

RepositoryRoleHealth v2
justrach/turboAPImain87

For agents

markdown · JSON · MCP: product_card(name="justrach/turboAPI")

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