PII Filter
Guardrail plugin that detects and redacts personally identifiable information before sending queries to the AI.
Deterministic PII filtering — redact or pseudonymize personal data in JSON payloads
Remove personally identifiable information from text.
SDK to manage PII encryption
PII linting rules for ESLint
The CDK Construct Library for Amazon Bedrock
Zero dependencies, blazing fast regex-based PII redaction with optional compliance dashboard integration. The modern fork of the abandoned 786k-download library.
Filter object keys and values into a new object
Remove personally identifiable information from text.
Filter out reverted commits parsed by conventional-commits-parser.
TypeScript module for removing personally identifiable information (PII) from text
Remove personally identifiable information from text.
Plugin utilities for Rolldown
Twilio's JavaScript Voice SDK
Service to manage PII within an isolated database
AI Manipulation Defense System (AIMDS) with self-learning, prompt injection detection, and vector search integration
A Node.js module to remove personally identifiable information (PII) from text.
Node.js library for the Method API
Filter an array of objects to a specific OS
unist utility to create a new tree with nodes that pass a filter
Filter promises concurrently
A through2 to create an Array.prototype.filter analog for streams.
Provides functionality related to source maps.
A Ruby gem that provides automated OpenTelemetry instrumentation for method calls with configurable serialization, PII filtering, and argument tracking
E11y (Easy Telemetry) - Observability for Rails developers who hate noise. UNIQUE FEATURES: • Request-scoped debug buffering - buffers debug logs in memory, flushes ONLY on errors • Zero-config SLO tracking - automatic Service Level Objectives for HTTP endpoints and jobs • Schema-validated events - catch bugs before production with dry-schema DEVELOPER EXPERIENCE: • Minimal setup — one config block, works with stdout out of the box • Auto-metrics from events (no manual Yabeda.increment) • Rails-first design (follows Rails conventions) • Pluggable adapters (Loki, Sentry, OpenTelemetry, custom backends) COST SAVINGS: • Reduce log storage costs by 90% (request-scoped buffering) • Replace expensive APM SaaS ($500-5k/month → infra costs only) • Own your observability data (no vendor lock-in) PRODUCTION-READY: • Thread-safe for multi-threaded Rails + Sidekiq • Adaptive sampling (error-based, load-based, value-based) • PII filtering (GDPR-compliant masking/hashing) • Performance optimized (hash-based events, minimal allocations) Perfect for Rails 7.0+ teams who need observability without complexity or high costs.
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