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uxlfoundation/oneTBB

oneAPI Threading Building Blocks (oneTBB) observed · 2026-08-28

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

Health v2 · maintenance only

89/100

  • Activity 99
  • Release rhythm 69
  • 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: 120
  • age_days: 3647
  • days_rel: 51
  • days_push: 7
  • n_releases_24m: 6

Full methodology

Adoption not part of the score

6723 stars · 1179 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

oneTBB (oneAPI Threading Building Blocks) is a C++ library for adding task-based parallelism to applications, letting developers express logical parallelism rather than manage threads directly. It provides parallel algorithms, flow graphs, concurrent containers, and a scalable memory allocator, and is an implementation of the oneAPI specification under the UXL Foundation.

Use cases

  • parallelize CPU-bound C++ code across multiple cores
  • build data-parallel pipelines and task flow graphs
  • replace raw std::thread management with composable task-based parallelism
  • get a scalable multithreaded memory allocator (tbbmalloc)
  • write portable parallel code for Windows, Linux, and macOS
  • scale performance-sensitive algorithms to many-core processors

When to choose

  • you want high-level, composable parallelism in C++ without being a threading expert
  • you need scalable data-parallel programming and work-stealing scheduling
  • you want a mature, permissively licensed (Apache-2.0) library compatible with other threading packages
  • you are targeting the oneAPI ecosystem

When to avoid

  • you need GPU or heterogeneous offload rather than CPU threading
  • your project is not C++ or cannot link native libraries
  • you only need simple async concurrency already covered by std::async or coroutines
  • you need distributed-memory (multi-node) parallelism like MPI

Facets

library · maturity stable

concurrency developer-tools developer-tools performance cross-platform windows cpp cross-platform parallelism task-parallelism flow-graph memory-allocator oneapi data-parallelism multicore linux macos

2 sources

Member repositories

RepositoryRoleHealth v2
uxlfoundation/oneTBBmain89

For agents

markdown · JSON · MCP: product_card(name="uxlfoundation/oneTBB")

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