# zhanyong-wan/dongbei

东北方言编程语言

Repository: https://github.com/zhanyong-wan/dongbei
Canonical: https://ross.abutalabs.com/products/dongbei
Language: Python
License: MIT
License Family: permissive
Last push: 2026-05-25T04:55:13+00:00

## Health v2 (maintenance only)
Score: 70/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 84, release rhythm 35, longevity 100
- inputs: {"age_days": 2419, "days_push": 100, "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 2659, forks 139 (observed 2026-08-28T04:07:07.450377+00:00)

## What it is
dongbei is a novelty programming language whose keywords are based on Northeastern Chinese (Dongbei) dialect vocabulary, implemented on top of Python 3. It is designed for fun and entertainment, letting users write and run programs that read like Dongbei dialect speech.

## Use cases
- write programs in northeastern chinese dialect
- learn programming basics in a fun way
- run dongbei scripts from the command line
- explore how to build an interpreter in python
- entertainment programming for chinese speakers

## When to choose
- you want a humorous, dialect-based programming language for fun or education
- you want to study a small, readable Python-based interpreter implementation
- you speak Chinese and want a playful introduction to coding

## When to avoid
- you need a production-ready language for real software projects
- you don't read Chinese or the Dongbei dialect
- you need performance, rich ecosystems, or long-term tooling support

## Facets
- artifact type: cli-tool
- maturity: active
- function: interpreter, programming-language, parser
- domain: programming-languages, education
- platform: python, cross-platform, cli
- tags: novelty-language, chinese-dialect, dongbei, esoteric-language, humor, programming-language, localization

## Member repositories
- zhanyong-wan/dongbei (main) score 70

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:07.450377+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 2026-08-30T08:31:47.244883+00:00, confidence not recorded.
  - readme: https://github.com/zhanyong-wan/dongbei (fetched 2026-08-28T04:07:07.450377+00:00, sha 54d35d6ef8e0)
- Data as of 2026-08-30T08:39:29.467469+00:00.