Libraries tagged by test data structure

Structured recipes in posts: ingredients that scale with servings, one-click step timers, a clean print view and schema.org Recipe data for search engines. Works with Scribe, FoF Rich Text and the plain composer.

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AI-powered accessibility, SEO, and readability quality assistant for TYPO3 editors.

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Natural language to SQL for Laravel: ask your database in plain English. The AI sees your schema structure, never a row - Jeeves writes the SQL and your own server runs it. Drop-in Blade chat widget, voice or text, any provider or a model you run yourself.

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This library provides an API to perform binary search operations on a sorted index. The index can be a XML document, a CSV document, or an arbitrary text file where the key has a fixed position. You can easily implement your own index. This API comes handy on any sorted data structure where realtime search operations are necessary without the detour of a DBS import.

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Create, manage and validate structured yaml/json formatted text data

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A PHP Class to help extract text out of documents that are not structured in a processing friendly manner

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A PHP Class to help extract text out of documents that are not structured in a processing friendly manner

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Omnilab PDB: an entry of the Protein Data Bank by its PDB id through RCSB PDB's GraphQL Data API - its title, keywords, method, resolution, weight, dates, primary citation and authors, its polymer entities and ligands, an image of its assembly; the UniProt proteins of its chains, their organisms and its ligands (ChEBI, PubChem or InChIKey) as related things, never its identifiers; a removed entry's only replacement - and RCSB's full-text search, no key needed.

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A lightweight Laravel package to filter model data through nested relationships using a simple input structure.

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Use OpenAI to extract structured receipt and invoice data from Text, Html, Images and PDFs.

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Use OpenAI to extract structured receipt and invoice data from Text, Html, Images and PDFs.

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This library provides an API to perform binary search operations on a sorted index. The index can be a XML document, a CSV document, or an arbitrary text file where the key has a fixed position. You can easily implement your own index. This API comes handy on any sorted data structure where realtime search operations are necessary without the detour of a DBS import.

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Sends the article text to an AI chat model on presave and writes the structured answer into real node fields: SEO meta description, reading time, sentiment and Tags terms. Triggered by node entity presave, guarded so that each article is enriched only once. Includes the library's Article tags recipe, which provides the Article content type with its body and Tags fields and the Tags vocabulary. Requires the ai_integration_eca and eca_tamper contributed modules. After applying the recipe, select a chat model that supports structured output in the "Ask AI for structured enrichment data" action.

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Omnilab ChEMBL: a bioactive molecule by ChEMBL id, InChIKey or name - its type, maximum development phase, computed properties (molecular weight, ALogP, polar surface area, hydrogen bond donors and acceptors, Lipinski's rule of five, QED), SMILES, InChI, structure depiction, mechanisms of action and their targets, and its identifiers in ChEBI, PubChem, UNII and DSSTox through UniChem - and a search by text or InChIKey, through the ChEMBL data web services (EMBL-EBI), no key needed.

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Handle the output of complex data structures ready for API output.

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