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NVIDIA/stdexec

`std::execution`, the standard C++ framework for asynchronous and parallel programming. observed · 2026-08-28

github.com/NVIDIA/stdexec · homepage · C++ · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

77/100

  • Activity 99
  • 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: 1941
  • days_rel: n/a
  • days_push: 10
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2417 stars · 268 forks observed · 2026-08-28

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

stdexec is NVIDIA's reference implementation of std::execution, the C++26 standard framework for asynchronous and parallel programming based on the sender/receiver model (P2300). It lets developers compose lazy asynchronous pipelines that run on threads, thread pools, GPUs, or custom schedulers with structured concurrency guarantees.

Use cases

  • compose asynchronous work as lazy sender pipelines in C++
  • run parallel computations on a thread pool with structured concurrency
  • schedule GPU work from C++ with a standard async model
  • replace callbacks and std::async with composable async algorithms
  • integrate coroutines with asynchronous execution via co_await on senders
  • prototype C++26 std::execution APIs before compilers ship them

When to choose

  • you want a modern, composable, zero-overhead async model in C++20+
  • you need structured cancellation and error handling for concurrent tasks
  • you are targeting heterogeneous execution across CPUs and GPUs
  • you want to future-proof code against the C++26 execution standard

When to avoid

  • you need a stable, frozen API for production-critical code
  • your compiler cannot handle heavy C++20 template metaprogramming
  • you only need simple threading with std::thread or std::async
  • you require a small dependency footprint in legacy C++ codebases

Facets

library · maturity experimental

concurrency developer-tools developer-tools cross-platform gpu-computing cpp windows senders structured-concurrency async parallel-programming header-only c++26 p2300 linux macos gpu

2 sources

Member repositories

RepositoryRoleHealth v2
NVIDIA/stdexecmain77

For agents

markdown · JSON · MCP: product_card(name="NVIDIA/stdexec")

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