# bilibili/gengine

Repository: https://github.com/bilibili/gengine
Canonical: https://ross.abutalabs.com/products/gengine
Language: Go
License: NOASSERTION
License Family: other
Last push: 2023-07-16T03:59:08+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2033, "days_push": 1144, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- 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 2085, forks 281 (observed 2026-08-28T04:06:11.917960+00:00)

## What it is
Gengine is a rule engine for Go based on AST parsing that lets you load and execute rules as code at runtime without restarting your application. It supports multiple rule execution models and a rules pool, making it suitable for high-performance and distributed business systems.

## Use cases
- evaluate business rules dynamically in a go service
- hot-reload rule code without restarting the app
- build a decision engine for risk control or pricing
- run rule chains with sequential, concurrent, or mixed execution models
- manage a pool of rules in a distributed system

## When to choose
- you need dynamic, hot-updatable business logic in a Go application
- you want a high-performance rule engine with multiple execution modes
- you prefer rules written as Go-like code rather than DSL configs

## When to avoid
- you need a full Drools-style rules DSL with advanced inference
- your project is not in Go
- you need a maintained project with recent releases and clear licensing

## Facets
- artifact type: library
- maturity: maintenance
- function: interpreter, parser, workflow-automation
- domain: developer-tools, backend
- platform: go, cross-platform
- tags: rule-engine, ast, dynamic-code-loading, business-rules, hot-reload, automation

## Member repositories
- bilibili/gengine (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:11.917960+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 2026-08-30T02:55:50.219599+00:00, confidence not recorded.
  - readme: https://github.com/bilibili/gengine (fetched 2026-08-28T04:06:11.917960+00:00, sha 2139e5a8c613)
- Data as of 2026-08-30T08:39:29.467469+00:00.