# trilinos/Trilinos

Primary repository for the Trilinos Project

Repository: https://github.com/trilinos/Trilinos
Canonical: https://ross.abutalabs.com/products/trilinos
Homepage: https://trilinos.org/
Language: C++
License: NOASSERTION
License Family: other
Topics: snl-science-libs, sandia-national-laboratories, hpsf, scientific-computing, high-performance-computing, c-plus-plus, hpc, trilinos
Last push: 2026-08-26T17:39:06+00:00

## Health v2 (maintenance only)
Score: 95/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 86, longevity 100
- inputs: {"age_days": 3943, "days_push": 7, "days_rel": 14, "gap_med": 44.0, "n_releases_24m": 9}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1418, forks 628 (observed 2026-08-28T04:04:40.199771+00:00)

## What it is
Trilinos is a collection of C++ libraries and an object-oriented software framework for solving large-scale, complex multi-physics engineering and scientific problems. It provides modular packages covering linear algebra, solvers, preconditioners, discretization, optimization, and performance portability across CPUs and GPUs.

## Use cases
- solve large sparse linear systems on HPC clusters
- finite element analysis of multi-physics problems
- iterative solvers and preconditioners like multigrid and domain decomposition
- eigenvalue computations for large-scale problems
- portable scientific code across CPUs and GPUs
- nonlinear and transient solvers for engineering simulations
- build scientific applications from modular numerical packages

## When to choose
- you need scalable, production-grade numerical libraries for HPC applications
- your problem involves coupled multi-physics or large sparse systems
- you want performance portability across CPU and GPU architectures
- you need a mature, actively maintained suite of scientific computing packages

## When to avoid
- you need a lightweight math library for small problems or scripting
- you are not working in C++ or cannot integrate with its build system
- you only need simple matrix operations available in easier alternatives like NumPy or Eigen

## Facets
- artifact type: library
- maturity: stable
- function: math, simulation, graphics, concurrency, gpu-computing
- domain: performance, simulation, data-science, developer-tools
- platform: cpp, windows, cross-platform
- tags: scientific-computing, high-performance-computing, linear-solvers, preconditioners, finite-element, multi-physics, hpc, numerical-libraries, sandia-national-laboratories, algorithms, linux, macos, gpu

## Member repositories
- trilinos/Trilinos (main) score 95

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:40.199771+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 2026-08-30T04:37:58.925000+00:00, confidence not recorded.
  - readme: https://github.com/trilinos/Trilinos (fetched 2026-08-28T04:04:40.199771+00:00, sha ea489e1f70a7)
  - homepage: https://trilinos.org/ (fetched 2026-08-29T11:50:30.158759+00:00, sha a89108c5fd6c)
- Data as of 2026-08-30T08:39:29.467469+00:00.