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Architecture comparison
Choose the output model before the library
These projects overlap in a few checks, but they are built for different jobs: raw evidence, focused integrity helpers, runtime protection, or general device information.
Short answer
- Choose React Native Device Risk Signals when you want a broad, typed, machine-readable raw event and your own backend policy.
- Choose JailMonkey when a smaller focused API for common root, jailbreak, hook and mock-location checks matches your requirements.
- Evaluate freeRASP when you need a runtime application self-protection product and its alert or response model.
- Choose react-native-device-info for broad device and application metadata that is not primarily a risk telemetry contract.
Architecture-level comparison
| Project | Primary job | Output style | Best fit |
|---|---|---|---|
| React Native Device Risk Signals | Transparent device and runtime risk observations | One typed event with independent success, skipped, timeout, and error outcomes | Teams building their own ingestion, calibration, privacy controls, and backend policy |
| JailMonkey | Focused root, jailbreak and related environment checks | Individual helper results oriented around common detection questions | Applications needing a compact integrity-check surface |
| freeRASP | Runtime application self-protection | Threat detection and notification or response integration | Applications evaluating an RASP lifecycle rather than only storing raw observations |
| react-native-device-info | General device and application information | Many independent getters and hooks | Product features, compatibility checks, diagnostics, and general metadata |
Questions to ask before choosing
- Do you need raw field-level evidence or a higher-level detection event?
- Must the package avoid all network traffic and vendor services?
- Do you need one backend event schema across Android and iOS?
- Which sensitive fields and permissions can your declared purpose justify?
- Will you calibrate physical-device behavior and own downstream policy?
- Do you need platform attestation in addition to local observations?
Combining libraries safely
It can be reasonable to use a general device metadata library, platform attestation, and a raw observation SDK together. Keep provenance explicit: store the source library, version, collection time, platform, verification status, and failure state for each value. Avoid copying everything into one ambiguous trusted-device object.
Do not collect duplicate sensitive fields without a documented purpose. Do not add persistent identifiers merely to join data across tools. The SDK does not calculate a risk score or make a blocking decision.
Review method and freshness
Last reviewed 2026-07-29 against the public project documentation linked above. This page compares documented product models, not unpublished implementations, bypass resistance, support quality, or commercial guarantees. Open an issue if a description is stale or materially incomplete.