Libraries tagged by data quality

Runtime analysis tool for Doctrine ORM integrated into Symfony Web Profiler. Unlike static linters, it analyzes actual query execution at runtime to detect performance bottlenecks, security vulnerabilities, and best practice violations during development with real execution context and data.

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TNEF Decoder library extracted from squirell mail plugin to decode winmail.dat file in email attachment

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DrevOps PHP_CodeSniffer rules: enforce consistent naming (snakeCase or camelCase) for variables and parameters, PHPUnit data provider conventions.

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Opinionated PHP code-quality analyzer with SARIF output, baselines, and a local dashboard.

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Data Quality Bundle for Pimcore

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Static analyzer that detects tramp data: parameters passed through chains of PHP methods that never use them.

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Magento 2 AEO (AI Engine Optimization) Audit. v4 covers 18 signals across two layers: configuration checks (robots.txt with purpose-classified AI bots, llms.txt + llms.jsonl, Product / Organization / FAQ schema, merchant return + shipping policies, sitemap.xml, UCP profile, AI product feed, OG tags, canonical + hreflang, JSON-LD quality, well-known endpoint matrix, Core Web Vitals via CrUX) and an evidence layer (WAF-vs-robots.txt reality check, observed AI crawler activity via GDPR-safe built-in instrumentation or access-log source). Score Trend dashboard, Admin UI, configurable cron, CI-ready CLI, dependency-injected extension points for custom checkers and evidence sources.

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Enhance product data quality and streamline content creation with the Pimcore and ChatGPT integration.

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Completeness gate for Pimcore DataObjects: per-class required fields, profiles and languages, scored on save, with reports and a publish gate.

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Catalog data quality observability for Magento 2 — completeness scoring, filter-blind detection, and gap reporting

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Data quality score for Pimcore

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Seeding high-quality demo data (categories, property groups, and products) into Shopware 6.

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MNB ScraperKit V1.0.3 - enterprise-ready PHP crawling and data extraction framework with AI crawl intelligence, search discovery, authorized mail/webmail extraction connectors, publisher metadata workflows, extraction recipes, provenance, quality reports, datasets, queues, dashboards, and compliance tooling.

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Scan database tables for data quality issues (duplicates, typos, whitespace, casing) with a Livewire dashboard and REST API

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AI enrichment layer for the Gatekeeper completeness bundle: proposes values for missing DataObject fields from a Markdown knowledge base, stores them for review, applies approved ones.

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