Structured Data
Showing 14 of 14 projects
A language-neutral, platform-neutral, extensible mechanism for serializing structured data developed by Google.
A Python library for parsing diverse document formats into structured data, optimized for integration with generative AI applications.
A cross-platform automation and configuration tool/framework optimized for structured data, REST APIs, and object models.
A modern, cross-platform shell that treats data as structured tables instead of plain text.
A fast and elegant scraping and crawling framework for Go, designed for extracting structured data from websites.
An automated machine learning library that trains and deploys high-accuracy models for tabular, text, image, and time series data with minimal code.
A Next.js plugin for adding structured data (JSON-LD) components to improve SEO and search appearance.
A prompting language for building reliable AI workflows and agents with type-safe, structured outputs across multiple programming languages.
A curated list of command-line tools for manipulating structured text data like CSV, JSON, XML, YAML, and more.
A Python library using machine learning for accurate and scalable fuzzy matching, record deduplication, and entity resolution on structured data.
A Laravel package providing helpers for common SEO techniques including meta tags, OpenGraph, Twitter Cards, and JSON-LD.
A Go library providing DataFrames, Series, and data wrangling operations for structured data manipulation.
A library for creating TensorFlow models that handle structured data with dynamic computation graphs using dynamic batching.
A modern programming language designed specifically for DevOps tasks, offering structured data handling and cloud integration.
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