TanStack
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router
TanStack Router is a type-safe, data-driven React router with built-in caching, prefetching, and nested layouts, while TanStack Start extends it into a full-stack SSR framework.
rampart
Rampart is a local-first browser-deployable system that redacts personally identifiable information from user-typed text using a combined ONNX model and deterministic recognizer, achieving high recall on seven Latin-script languages.
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NOASSERTION
Last updated
2026-06-30
AI repository intelligence
FR-AI / ANALYSISWhy it is worth attention
It provides a complete, reproducible privacy pipeline that runs entirely on the client, with a small 14.7 MB artifact and a defense-in-depth design that balances recall and domain-aware retention.
Who it is for
- Developers building privacy-sensitive web applications
- LLM providers and API consumers needing client-side PII filtering
- Compliance teams requiring reproducible redaction benchmarks
- Privacy researchers studying client-side harm reduction
Use cases
- Redacting PII from user messages before sending to a remote language model
- Sanitizing logging pipelines to prevent accidental data leaks
- Providing streaming placeholder restoration in chat interfaces
- Benchmarking PII redaction accuracy across multiple languages
Strengths
- 98.42% private-term recall on 7 supported languages with narrow Wilson confidence intervals
- Small shipped artifact (14.7 MB) enabling deployment on low-end phones and slow connections
- Defense-in-depth combining deterministic checksum-based detectors with a neural token classifier
- Policy-driven keep-set that retains coarse geography while redacting precise address lines
Considerations
- Non-Latin scripts (Chinese, Japanese, Arabic, etc.) are out of scope with recall as low as 2% for Russian and 9% for Han Chinese
- Adversarial robustness is limited (86.4% on a 20-case hostile input suite) and not designed against motivated bypass
- Indirect identifiers and non-text inputs (images, audio) are not supported
README quick start
Usage
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