# didi/turbo

Turbo is a light-weight flow engine framework, support BPMN2.0. 一款轻量级流程引擎服务框架，可作为底层服务支持各类流程设计、低代码设计、工作流、审批流、服务编排等场景

Repository: https://github.com/didi/turbo
Canonical: https://ross.abutalabs.com/products/didi-turbo
Language: Java
License: Apache-2.0
License Family: permissive
Topics: bpmn, flow-engine, java, low-code, lowcode, workflow
Last push: 2026-03-20T06:40:31+00:00

## Health v2 (maintenance only)
Score: 62/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 73, release rhythm 25, longevity 100
- inputs: {"age_days": 2073, "days_push": 166, "days_rel": 289, "gap_med": 301, "n_releases_24m": 2}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1214, forks 227 (observed 2026-08-28T04:04:00.925126+00:00)

## What it is
Turbo is a lightweight Java-based workflow/flow engine framework compatible with BPMN 2.0, serving as the backend engine for low-code platforms. It provides core capabilities for flow definition, deployment, execution, submission, rollback, and execution trace tracking with minimal database tables.

## Use cases
- build approval workflows like leave request flows
- orchestrate after-sales or order refund processes
- power low-code platform workflow backends
- embed a reentrant flow engine in a Java application
- implement service orchestration with rollback support
- track and snapshot flow instance execution history

## When to avoid
- you need a full OA workflow platform with rich ecosystem, scripting, and multi-database support
- you need pure in-memory, stateless rule execution (Compileflow-style)
- your stack is not Java or you don't use MySQL
- you need standalone server deployment rather than an embedded library

## Facets
- artifact type: framework
- maturity: active
- function: workflow-automation, middleware, developer-tools
- domain: backend, developer-tools, apis
- platform: jvm, self-hosted
- tags: bpmn, flow-engine, low-code, approval-flow, service-orchestration, lightweight, automation

## Member repositories
- didi/turbo (main) score 62

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:00.925126+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 2026-08-30T06:17:21.499469+00:00, confidence not recorded.
  - readme: https://github.com/didi/turbo (fetched 2026-08-28T04:04:00.925126+00:00, sha 6ed058535785)
- Data as of 2026-08-30T08:39:29.467469+00:00.