Libraries tagged by egress

Zero-dependency SIEM log-streaming core for PHP: a normalized security-event value object and the formatters (Splunk HEC, Elastic ECS, ArcSight/syslog CEF, generic JSON) that turn it into what real SIEMs ingest. Framework-agnostic; the delivery/egress layer lives in the Laravel wrapper.

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A governed web:search capability for Milpa apps — read-only locally, but the query leaves the machine (Externality::ThirdParty), so the egress gate governs it.

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The SIEM log-streaming delivery engine for Laravel — a durable transactional outbox, queued batched delivery with retry/backoff/dead-letter/circuit-breaker, SSRF-guarded HTTP egress, encrypted destination secrets, and PII redaction, on top of the framework-agnostic cboxdk/siem core.

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Scan, redact, and optionally block outbound requests to AI providers (OpenAI, Anthropic, Gemini, and more) for leaked secrets and PII. Review in an inbox and fail CI before a prompt leaks. SDK-agnostic, at the HTTP layer.

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A processing ledger for AI traffic. Turns the requests Egress Guard observes into a GDPR Article 30 record of processing and a subprocessor register, recording categories and hashes only, never the data itself. The free collector for the Ledger compliance layer.

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Feanor PHP framework

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Epression language

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Math Library for PHP. Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra

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A high-level machine learning and deep learning library for the PHP language.

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Regression Package for PHP

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Visual regression tests for Codeception

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Calculates and returns coefficients for polynomial regression.

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PHP package for computation of simple linear regression parameters

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Capture every page of a Filament v5 panel at multiple viewports and modes, upload to S3, generate a browsable index. Drop-in tooling for visual QA, design reviews, marketing assets, and AI-driven visual regression.

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Laravel evaluation framework for RAG / LLM applications: golden datasets, twenty-two metrics including agent trajectories, repeated sampling with real statistics, per-row regression gates on content hashes, run briefings, cost budgets, JSON + Markdown reports, Artisan-driven CI gate.

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