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open-mpi/ompi

Open MPI main development repository observed · 2026-08-28

github.com/open-mpi/ompi · homepage · C · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

77/100

  • Activity 99
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

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: 4369
  • days_rel: n/a
  • days_push: 7
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2633 stars · 988 forks observed · 2026-08-28

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

Open MPI is an open-source, standards-conformant implementation of the Message Passing Interface (MPI) for high-performance computing, developed by a consortium of academic, research, and industry partners. It provides a portable, component-based message-passing library supporting MPI-3.1/4.0, thread safety, fault tolerance, heterogeneous networks, and many job schedulers and operating systems.

Use cases

  • run parallel scientific simulations across a cluster
  • message passing between processes in an HPC application
  • write Fortran or C programs that scale across many nodes
  • set up an MPI runtime for a supercomputing workload
  • port parallel code across different network interconnects
  • learn parallel programming with MPI

When to choose

  • you need a production-quality, fully MPI-conformant implementation for HPC
  • your cluster uses heterogeneous networks and you want one library supporting all of them
  • you need fault tolerance, thread safety, and broad scheduler integration
  • you want an actively maintained, open-source MPI with strong community support

When to avoid

  • you only need shared-memory threading within one node (use OpenMP instead)
  • you need a lightweight MPI for embedded or resource-constrained devices
  • you want a simple message queue for distributed web services rather than tightly coupled parallel jobs

Facets

library · maturity stable

concurrency networking sdk developer-tools microservices gpu-computing performance developer-tools operating-systems windows cross-platform cpp c mpi hpc message-passing parallel-computing fortran cluster-computing interconnect linux macos gpu

3 sources

Member repositories

RepositoryRoleHealth v2
open-mpi/ompimain77

For agents

markdown · JSON · MCP: product_card(name="open-mpi/ompi")

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