# chapel-lang/chapel

a Productive Parallel Programming Language

Repository: https://github.com/chapel-lang/chapel
Canonical: https://ross.abutalabs.com/products/chapel
Homepage: https://chapel-lang.org
Language: Chapel
License: NOASSERTION
License Family: other
Topics: compiler, gpu, hpc, language, parallel, chapel, concurrency, distributed-computing, high-performance-computing, open-source, parallel-computing, performance, productive, programming-language, scientific-computing
Last push: 2026-08-26T20:41:07+00:00

## Health v2 (maintenance only)
Score: 87/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 65, longevity 100
- inputs: {"age_days": 4438, "days_push": 7, "days_rel": 76, "gap_med": 91, "n_releases_24m": 8}
- 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 2017, forks 450 (observed 2026-08-28T04:06:05.551447+00:00)

## What it is
Chapel is a modern open-source programming language designed for productive parallel computing at scale, with first-class support for task and data parallelism, distributed arrays, and vendor-neutral GPU programming. It includes a compiler, standard library, package manager (Mason), and tooling, and runs on laptops, clusters, clouds, and supercomputers.

## Use cases
- write parallel programs that scale from a laptop to a supercomputer
- program NVIDIA and AMD GPUs without writing CUDA or OpenCL
- distribute arrays and computations across cluster nodes
- learn a productive language for high-performance scientific computing
- prototype HPC algorithms with concise parallel loops
- interoperate with C and Fortran libraries in parallel code

## When to choose
- you need distributed-memory parallelism with a high-level language
- you want vendor-neutral GPU programming from one codebase
- you are doing scientific computing or HPC research
- you want parallelism expressed directly in the language rather than via libraries

## When to avoid
- you need a mainstream language with a large ecosystem and job market
- your project requires fine-grained manual control over CUDA kernels
- you need extensive third-party libraries or framework support
- your team cannot adopt a niche language

## Facets
- artifact type: library
- maturity: active
- function: programming-language, compiler, concurrency, gpu-computing
- domain: programming-languages, microservices, gpu-computing, performance
- platform: windows, cross-platform, cpp, cli
- tags: parallel-computing, high-performance-computing, hpc, scientific-computing, distributed-computing, supercomputing, task-parallelism, data-parallelism, cuda, opencl, llvm, algorithms, linux, macos, gpu

## Member repositories
- chapel-lang/chapel (main) score 87

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:05.551447+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 2026-08-30T03:00:40.336553+00:00, confidence not recorded.
  - readme: https://github.com/chapel-lang/chapel (fetched 2026-08-28T04:06:05.551447+00:00, sha 78d244c3eb0e)
  - homepage: https://chapel-lang.org (fetched 2026-08-29T10:40:39.236568+00:00, sha 924d4acbeb8d)
  - site_page: https://chapel-lang.org/docs (fetched 2026-08-29T10:40:39.239528+00:00, sha b8096dc53b2b)
  - site_page: https://chapel-lang.org/docs/usingchapel/QUICKSTART.html (fetched 2026-08-29T10:40:39.241360+00:00, sha 03ba0748688e)
  - site_page: https://chapel-lang.org/docs/language/spec (fetched 2026-08-29T10:40:39.243266+00:00, sha 27a444a153f4)
  - site_page: https://chapel-lang.org/docs/primers (fetched 2026-08-29T10:40:39.245561+00:00, sha 95694899f710)
  - site_page: https://chapel-lang.org/docs/modules/standard.html (fetched 2026-08-29T10:40:39.247051+00:00, sha bd3fd210e96c)
  - site_page: https://chapel-lang.org/docs/developer (fetched 2026-08-29T10:40:39.248602+00:00, sha 9cb6eb707f46)
  - site_page: https://chapel-lang.org/docs/technotes (fetched 2026-08-29T10:40:39.250169+00:00, sha f17647b91ccb)
  - site_page: https://chapel-lang.org/gpu (fetched 2026-08-29T10:40:39.251754+00:00, sha 35fec9c17f7e)
- Data as of 2026-08-30T08:39:29.467469+00:00.