# wfh45678/radar

实时风控引擎(Risk Engine)，自定义规则引擎（Rule Script），完美支持中文，适用于反欺诈(Anti-fraud)应用场景，开箱即用！！！移动互联网时代的风险管理利器，你 Get 到了吗？

Repository: https://github.com/wfh45678/radar
Canonical: https://ross.abutalabs.com/products/wfh45678-radar
Homepage: https://www.riskengine.cn
Language: Java
License: NOASSERTION
License Family: other
Topics: risk, engine, rule, script, radar, risk-engine, risk-control, risk-analysis, risk-rule, springboot, java, anti-fraud, real-time
Last push: 2023-10-23T11:46:32+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": 2547, "days_push": 1045, "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 1618, forks 511 (observed 2026-08-28T04:05:12.137908+00:00)

## What it is
Radar is a lightweight real-time risk control and decision engine built with Java (Spring Boot), MongoDB, Redis, Elasticsearch, and a Groovy-based rule engine, designed for anti-fraud scenarios. It offers a visual rule editor, real-time rule updates, and centralized risk management, with an open-source community edition and a commercial enterprise edition.

## Use cases
- detect fraudulent transactions in real time
- build a centralized risk control platform for multiple product lines
- edit and deploy risk rules without redeploying services
- score loan applications with rule-based decisioning
- block promo abuse and coupon farming by bots
- manage blacklists, whitelists, and greylists for users
- expose a decision API for upstream business services

## When to choose
- you need a self-hosted, open-box real-time risk/anti-fraud engine in a Java stack
- you want business users to edit risk rules visually with immediate effect
- you need millisecond-level decision latency for transaction screening
- you prefer centralized rule management instead of risk logic scattered in business code

## When to avoid
- you need ML-based fraud models rather than rule-based decisions
- you require the frontend source, multi-tenancy, or decision-flow orchestration without a commercial license
- your stack is not JVM-based and you cannot operate MySQL, Redis, MongoDB, and Elasticsearch
- the project's custom license restrictions are incompatible with your usage

## Facets
- artifact type: service
- maturity: maintenance
- function: search-engine, caching, api-framework, web-framework, monitoring, workflow-automation
- domain: fintech, security, backend, apis, developer-tools
- platform: jvm, self-hosted, windows
- tags: risk-engine, anti-fraud, rule-engine, decision-engine, real-time, groovy, springboot, risk-control, scoring, chinese-language, docker, web-server, linux, macos

## Member repositories
- wfh45678/radar (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:12.137908+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 2026-08-30T03:49:41.182364+00:00, confidence not recorded.
  - readme: https://github.com/wfh45678/radar (fetched 2026-08-28T04:05:12.137908+00:00, sha 25dd63518df7)
  - homepage: https://www.riskengine.cn (fetched 2026-08-29T11:22:14.067491+00:00, sha 74688cb8708f)
  - site_page: https://www.riskengine.cn/quickstart.html (fetched 2026-08-29T11:22:14.076795+00:00, sha e81d4450828d)
- Data as of 2026-08-30T08:39:29.467469+00:00.