# bddicken/languages

Compare languages

Repository: https://github.com/bddicken/languages
Canonical: https://ross.abutalabs.com/products/languages
Homepage: https://benjdd.com/languages2
Language: Shell
License Family: other
Last push: 2025-08-20T09:33:46+00:00

## Health v2 (maintenance only)
Score: 38/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 37, release rhythm 35, longevity 46
- inputs: {"age_days": 651, "days_push": 378, "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 1819, forks 326 (observed 2026-08-28T04:05:40.735677+00:00)

## What it is
A community-driven collection of microbenchmarks comparing the performance of many programming languages, with shell scripts to compile and run benchmarks across toolchains. It also hosts a companion website with published benchmark results.

## Use cases
- compare performance of programming languages
- benchmark C vs Rust vs Python
- learn how compilers and toolchains affect performance
- find which language is fastest for nested loops
- contribute benchmarks for a new programming language

## When to choose
- you want empirical cross-language performance comparisons
- you want to learn benchmarking methodology and toolchain differences
- you want to contribute benchmarks or add a language

## When to avoid
- you need rigorous, production-grade benchmarking methodology
- you need a benchmarking framework for your own application code
- microbenchmark results are not representative of your real workload

## Facets
- artifact type: learning-resource
- maturity: active
- function: benchmarking, developer-tools
- domain: programming-languages, performance, tutorials
- platform: cross-platform, cli
- tags: microbenchmarks, language-comparison, compilers, toolchains, community-project

## Member repositories
- bddicken/languages (main) score 38

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:40.735677+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 2026-08-30T03:20:01.532508+00:00, confidence not recorded.
  - readme: https://github.com/bddicken/languages (fetched 2026-08-28T04:05:40.735677+00:00, sha 0e1fe4c02ccd)
  - homepage: https://benjdd.com/languages2 (fetched 2026-08-29T10:59:03.464309+00:00, sha c4c5f6246ba1)
- Data as of 2026-08-30T08:39:29.467469+00:00.