# matz/streem

prototype of stream based programming language

Repository: https://github.com/matz/streem
Canonical: https://ross.abutalabs.com/products/streem
Language: C
License: MIT
License Family: permissive
Last push: 2022-01-03T10:45:02+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4283, "days_push": 1703, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4598, forks 233 (observed 2026-08-28T04:08:54.806423+00:00)

## What it is
Streem is a prototype of a stream-based concurrent scripting language created by Yukihiro Matsumoto, influenced by the shell pipeline model, Ruby, and Erlang. It is implemented in C and provides a CLI interpreter where programs are expressed as data-flow pipelines such as 'stdin | stdout'.

## Use cases
- write shell-like pipeline scripts
- experiment with stream-based programming
- process data flows concurrently
- learn about concurrent language design
- run simple data transformation pipelines

## When to choose
- you want to experiment with a novel stream-oriented language design
- you are interested in pipeline/concurrency language research
- you want a lightweight C-based scripting interpreter to hack on

## When to avoid
- you need a production-ready language - it is explicitly still in the design stage
- you need a rich standard library or ecosystem
- you need long-term stability or support

## Facets
- artifact type: cli-tool
- maturity: experimental
- function: interpreter, programming-language, streaming, concurrency, cli
- domain: programming-languages, developer-tools
- platform: cli, c
- tags: stream-processing, concurrent-scripting, pipeline-language, prototype-language, ruby-creator, data-engineering, command-line, linux, macos

## Member repositories
- matz/streem (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:54.806423+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 2026-08-29T18:19:48.391704+00:00, confidence not recorded.
  - readme: https://github.com/matz/streem (fetched 2026-08-28T04:08:54.806423+00:00, sha d47c65644522)
- Data as of 2026-08-30T08:39:29.467469+00:00.