# open-mpi/ompi

Open MPI main development repository

Repository: https://github.com/open-mpi/ompi
Canonical: https://ross.abutalabs.com/products/ompi
Homepage: https://www.open-mpi.org
Language: C
License: NOASSERTION
License Family: other
Topics: c, hpc, mpi, fortran, hacktoberfest, openmpi
Last push: 2026-08-26T22:00:40+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 35, longevity 100
- inputs: {"age_days": 4369, "days_push": 7, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2633, forks 988 (observed 2026-08-28T04:07:06.165217+00:00)

## What it is
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
- artifact type: library
- maturity: stable
- function: concurrency, networking, sdk, developer-tools
- domain: microservices, gpu-computing, performance, developer-tools, operating-systems
- platform: windows, cross-platform, cpp, c
- tags: mpi, hpc, message-passing, parallel-computing, fortran, cluster-computing, interconnect, linux, macos, gpu

## Member repositories
- open-mpi/ompi (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:06.165217+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:19:35.297232+00:00, confidence not recorded.
  - readme: https://github.com/open-mpi/ompi (fetched 2026-08-28T04:07:06.165217+00:00, sha 9dc8a8a3d305)
  - homepage: https://www.open-mpi.org (fetched 2026-08-29T10:02:55.848885+00:00, sha ebaefb4a6ff3)
  - site_page: https://www.open-mpi.org/doc (fetched 2026-08-29T10:02:55.857747+00:00, sha dfdc1e719128)
- Data as of 2026-08-30T08:39:29.467469+00:00.