# didi/DiDiPrism

小桔棱镜，一款专注移动端操作行为的利器！ A powerful tool (iOS & Android) that focuses on mobile operation behavior!

Repository: https://github.com/didi/DiDiPrism
Canonical: https://ross.abutalabs.com/products/didiprism
Language: Objective-C
License: Apache-2.0
License Family: permissive
Last push: 2025-05-22T13:07:56+00:00

## Health v2 (maintenance only)
Score: 40/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 22, release rhythm 28, longevity 100
- inputs: {"age_days": 2109, "days_push": 468, "days_rel": 513, "gap_med": 40, "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 1742, forks 200 (observed 2026-08-28T04:05:30.319308+00:00)

## What it is
DiDiPrism (小桔棱镜) is a mobile tool from DiDi focused on capturing and analyzing user operation behavior on iOS and Android apps. It provides operation playback (video/text), operation detection via DSL-based policies, and data visualization, all without intruding into business code.

## Use cases
- replay user interactions in a mobile app to debug issues
- record and play back user sessions as video or text
- detect specific user behavior sequences with policy rules
- visualize user operation behavior data
- build automated mobile tests without writing scripts
- track user actions without modifying business code

## When to choose
- you need to replay or analyze real user interactions on iOS or Android
- you want behavior detection rules without instrumenting business code
- you need scriptless automated testing based on recorded operations

## When to avoid
- you only need web session replay
- you need a full commercial analytics platform with dashboards and funnels
- your app targets platforms other than iOS or Android

## Facets
- artifact type: library
- maturity: active
- function: monitoring, analytics, testing, developer-tools
- domain: mobile-development, developer-tools, analytics
- platform: -
- tags: operation-playback, user-behavior-tracking, behavior-detection, objective-c, no-intrusion, dsl-policies, automation, ios, android, mobile

## Member repositories
- didi/DiDiPrism (main) score 40

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:30.319308+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 2026-08-30T03:29:55.216000+00:00, confidence not recorded.
  - readme: https://github.com/didi/DiDiPrism (fetched 2026-08-28T04:05:30.319308+00:00, sha a9cda2fef73f)
- Data as of 2026-08-30T08:39:29.467469+00:00.