awesome-repositories.com
博客
MCP
awesome-repositories.com

通过 AI 驱动的搜索,发现最优秀的开源仓库。

探索精选搜索开源替代品自托管软件博客网站地图
项目MCP 服务器关于排名机制媒体报道
法律隐私政策服务条款
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

55 个仓库

Awesome GitHub RepositoriesStructural Data Validators

Frameworks for evaluating and validating incoming data against defined structural requirements.

Distinct from Data Structures: Distinct from Data Structures: focuses on the validation and matching logic applied to data, rather than the definition of the data structures themselves.

Explore 55 awesome GitHub repositories matching data & databases · Structural Data Validators. Refine with filters or upvote what's useful.

Awesome Structural Data Validators GitHub Repositories

用 AI 发现最棒的仓库。我们将通过 AI 为您搜索最匹配的仓库。
  • chinese-poetry/chinese-poetrychinese-poetry 的头像

    chinese-poetry/chinese-poetry

    51,906在 GitHub 上查看↗

    This project is a comprehensive dataset and archive of classical Chinese poetry, prose, and Confucian classics. It serves as a digital humanities corpus, providing machine-readable access to hundreds of thousands of poems and detailed poet biographies, specifically spanning the Tang and Song dynasties. The collection is distinguished by its scholarly depth, incorporating textual variation annotations to track disputed characters across different source editions. It also includes tonal pattern mapping to describe the rhythmic and phonetic structures of the verse, alongside a popularity ranking

    Provides structural validation to ensure JSON files across directories are properly formatted.

    JavaScriptchinesechinese-poetryci
    在 GitHub 上查看↗51,906
  • aykutsarac/jsoncrack.comAykutSarac 的头像

    AykutSarac/jsoncrack.com

    44,142在 GitHub 上查看↗

    jsoncrack.com is a JSON data visualization tool and interactive graph viewer that transforms JSON and other structured data formats into visual tree diagrams. It functions as a data syntax validator and a structured data converter for transforming information between JSON, YAML, XML, and CSV formats. The project includes a JSON schema generator that produces schema definitions and language-specific type definitions based on provided structured data. These capabilities automate type safety and ensure data integrity through schema generation. The tool provides broader capabilities for structur

    Verifies structured files against syntax requirements to ensure data accuracy and readability.

    TypeScriptcsvdiagramsgraph
    在 GitHub 上查看↗44,142
  • devtoys-app/devtoysDevToys-app 的头像

    DevToys-app/DevToys

    31,666在 GitHub 上查看↗

    DevToys is a cross-platform desktop application that functions as a comprehensive suite of offline utilities for common software development tasks. It provides a unified interface for performing data formatting, encoding, validation, and asset generation locally without requiring an internet connection. The application is built on a plugin-based extensibility framework that allows users to integrate custom utility modules to meet specific technical requirements. A core differentiator is its clipboard-aware management system, which monitors clipboard content to automatically suggest or open th

    Converts, beautifies, and validates structured data formats like JSON, YAML, and XML to improve readability and interoperability.

    C#blazorcross-platformcsharp
    在 GitHub 上查看↗31,666
  • heygen-com/hyperframesheygen-com 的头像

    heygen-com/hyperframes

    28,209在 GitHub 上查看↗

    Hyperframes is an HTML-to-video rendering engine and composition tool that transforms web layouts and CSS into encoded video files. It functions as a headless browser video pipeline and a distributed video rendering framework, allowing users to create seekable animations and programmatic motion designs using HTML, CSS, and JavaScript. The project differentiates itself as an AI agent video orchestrator, enabling the automation of video scripts and compositions through natural language prompts. It supports distributed video encoding by splitting rendering tasks across multiple serverless functi

    Detects structural errors and missing assets by performing static and runtime checks on HTML layouts.

    TypeScript
    在 GitHub 上查看↗28,209
  • sideway/joisideway 的头像

    sideway/joi

    21,192在 GitHub 上查看↗

    Joi is a JavaScript data validation library used to define schemas that ensure the structure and data types of objects remain consistent. It functions as a schema-based validator and object schema definition tool, preventing invalid information from entering an application by checking data against predefined constraints and rules. The library employs a chainable fluent interface and a constraint-based validation engine to build complex validation pipelines. It utilizes recursive tree traversal to validate nested data structures and a type-coercion pipeline to transform input values into the t

    Validates complex, recursive data objects by ensuring every level of a nested schema meets its constraints.

    JavaScript
    在 GitHub 上查看↗21,192
  • gvergnaud/ts-patterngvergnaud 的头像

    gvergnaud/ts-pattern

    15,034在 GitHub 上查看↗

    This library provides a declarative approach to conditional logic in TypeScript, replacing imperative branching with structural pattern matching. It functions as a tool for decomposing complex data structures and mapping them to specific execution branches, ensuring that all possible states are accounted for during development. The library distinguishes itself by enforcing exhaustive logic, which requires developers to address every possible branch of a data structure to prevent runtime errors. By leveraging compile-time type narrowing and recursive evaluation, it allows for the validation an

    Evaluate incoming data against specific structural requirements and execute the corresponding logic to ensure every variation of the input is processed safely and predictably throughout the application.

    TypeScriptbranchingconditionsexhaustive
    在 GitHub 上查看↗15,034
  • mikefarah/yqmikefarah 的头像

    mikefarah/yq

    14,913在 GitHub 上查看↗

    This tool is a command-line processor designed for querying, updating, and transforming structured data files. It functions as a versatile engine for manipulating YAML, JSON, TOML, and XML documents, allowing users to perform complex operations directly from the terminal. By utilizing a path-based expression language, it enables precise navigation and modification of data structures within configuration files and infrastructure-as-code workflows. What distinguishes this tool is its ability to perform in-place document mutations while preserving original formatting, comments, and metadata. It

    Verifies that files conform to expected structural requirements by checking tags or types.

    Gobashclicsv
    在 GitHub 上查看↗14,913
  • 567-labs/instructor567-labs 的头像

    567-labs/instructor

    13,176在 GitHub 上查看↗

    Instructor is a framework designed for structured data extraction, validation, and language model integration. It functions as a library that transforms unstructured text into validated, type-safe objects by leveraging schema definitions and model-specific tool-calling capabilities. By acting as a validation middleware, the project ensures that language model outputs strictly conform to defined data structures. The library distinguishes itself through a robust validation-based retry loop that automatically re-submits failed responses with error feedback to iteratively correct schema complianc

    Verifies language model outputs against defined data structures and executes custom logic during the extraction lifecycle.

    Pythonopenaiopenai-function-calliopenai-functions
    在 GitHub 上查看↗13,176
  • rt2zz/redux-persistrt2zz 的头像

    rt2zz/redux-persist

    12,969在 GitHub 上查看↗

    redux-persist is a state persistence library for Redux that saves and restores store state to a storage engine to maintain data across sessions. It functions as a state rehydration tool and serialization middleware, loading previously saved application state back into the Redux store during the initialization process. The library includes a schema migration utility to transform persisted state data from older versions to newer schemas, ensuring compatibility after application updates. It also provides state serialization transformations to modify state objects before they are written to or re

    Transforms stored state into a newer schema version using a sequence of migration functions or custom handlers.

    TypeScript
    在 GitHub 上查看↗12,969
  • clojure/clojureclojure 的头像

    clojure/clojure

    11,006在 GitHub 上查看↗

    Clojure is a general-purpose, functional programming language hosted on the Java Virtual Machine. It is a homoiconic S-expression language that represents programs as nested data structures, allowing code to be manipulated and evaluated as data. The project provides a framework for JVM interoperability, enabling the invocation of Java methods and integration with other JVM-based languages. It distinguishes itself through a persistent data structure library that uses bitmapped vector tries to manage immutable collections and a programmatic REPL for interactive software development and real-tim

    Provides a formal specification library to describe and test the structure of data and functions.

    Java
    在 GitHub 上查看↗11,006
  • iib0011/omni-toolsiib0011 的头像

    iib0011/omni-tools

    9,710在 GitHub 上查看↗

    omni-tools is a browser-based utility suite that provides client-side tools for manipulating PDFs, media files, and data formats. It functions as a collection of web-based processors and calculation engines that execute directly within the browser without requiring server-side processing. The suite includes a client-side PDF editor for merging, splitting, and reorganizing document structures, and a web-based media processor for resizing, trimming, and converting image and video files. It also features a data format converter that transforms structured information between JSON, CSV, and XML fo

    Transforms structured information between JSON, CSV, and XML formats for better compatibility.

    TypeScriptalternativeconverterdata-manipulation
    在 GitHub 上查看↗9,710
  • tstack/lnavtstack 的头像

    tstack/lnav

    9,630在 GitHub 上查看↗

    lnav is a terminal-based log viewer and analyzer designed for aggregating, filtering, and analyzing multiple log files in a single chronological view. It functions as a console application that can replace the system pager, providing syntax highlighting and document navigation for system or application logs. The project distinguishes itself by mapping unstructured log data to virtual SQLite tables, enabling the use of SQL and PRQL for structured data analysis, aggregations, and relational queries. It further differentiates its capability set through native integration for retrieving and taili

    Beautifies and visualizes structured data formats like JSON, YAML, and XML within a terminal interface.

    C++command-line-toollesslog-analysis
    在 GitHub 上查看↗9,630
  • sqlfluff/sqlfluffsqlfluff 的头像

    sqlfluff/sqlfluff

    9,525在 GitHub 上查看↗

    SQLFluff is a multi-dialect SQL linter, formatter, and style guide enforcer. It functions as a parser and analyzer that converts SQL scripts into structured trees to validate syntax, identify logical components, and enforce consistent capitalization, aliasing, and layout conventions across various database dialects. The system is specifically designed to handle templated SQL, providing the ability to analyze, parse, and lint files containing macros or placeholders. It uses dummy-parameter rendering and source mapping to validate the style and correctness of dynamic code before it is rendered

    Detects structural issues such as unused common table expressions, redundant statements, and ambiguous groupings.

    Pythonhacktoberfestpypisql
    在 GitHub 上查看↗9,525
  • onsi/ginkgoonsi 的头像

    onsi/ginkgo

    9,014在 GitHub 上查看↗

    Ginkgo is a behavior-driven development testing framework, assertion library, and test runner for Go. It provides a domain-specific language for writing human-readable specifications, organizing tests into hierarchical containers and subjects to describe system behavior. The project distinguishes itself through advanced execution control and observability, featuring a test runner capable of parallel distribution, sharding, and randomized execution order to detect flaky tests. It includes specialized diagnostic tools for goroutine leak detection, hanging spec monitoring, and failure state debu

    Supports building nested matchers to apply individual validation tests to specific fields within large data sets.

    Go
    在 GitHub 上查看↗9,014
  • oumi-ai/oumioumi-ai 的头像

    oumi-ai/oumi

    8,858在 GitHub 上查看↗

    Oumi is a comprehensive large language model development platform designed for synthesizing data, fine-tuning models, and running performance evaluations. It serves as a unified environment for the entire model lifecycle, encompassing a training and fine-tuning suite, an evaluation framework, and tools for synthetic data generation and model distillation. The platform is distinguished by its iterative, failure-driven synthesis approach, which analyzes model weaknesses during evaluation to generate targeted training data. It utilizes an LLM-based judge framework to programmatically score respo

    Converts various file formats into a standardized conversation structure while validating schema compatibility.

    Pythondpoevaluationfine-tuning
    在 GitHub 上查看↗8,858
  • xiaomi/soarXiaoMi 的头像

    XiaoMi/soar

    8,770在 GitHub 上查看↗

    Soar is a suite of specialized tools designed for analyzing MySQL performance, advising on indexing, and optimizing SQL syntax. It functions as a performance analyzer, index advisor, and query optimizer to identify bottlenecks and suggest structural improvements for faster execution. The project distinguishes itself through a system for rewriting SQL statements into optimized equivalent versions using custom heuristic rules and patterns. It also features a dedicated index advisor that evaluates query patterns and database metadata to recommend the creation of new indexes. Its broader capabil

    Detects structural issues and syntax errors in SQL queries to ensure they are syntactically correct.

    Goadvisorauditorcommand-line
    在 GitHub 上查看↗8,770
  • open-circle/valibotopen-circle 的头像

    open-circle/valibot

    8,769在 GitHub 上查看↗

    Valibot is a modular, type-safe schema library for validating and parsing structural data in TypeScript environments.

    Transforms and validates data from one format to another using property-level transformations.

    TypeScriptbundle-sizemodularparsing
    在 GitHub 上查看↗8,769
  • kellyjonbrazil/jckellyjonbrazil 的头像

    kellyjonbrazil/jc

    8,538在 GitHub 上查看↗

    jc is a tool that transforms plain-text results from command-line utilities, system tools, log formats, and text tables into structured JSON data. It functions as a structured data transformer capable of converting various file formats, including CSV, INI, XML, and YAML, into JSON representations for programmatic use. The project includes a collection of specific parsers for Unix commands and system tools such as df, blkid, and various package managers. It also features specialized converters for web server logs, Common Log Format, and Common Event Format strings. The tool covers broad capab

    Converts structured file formats such as CSV, INI, XML, and YAML into JSON representations.

    Pythonbashbash-scriptingcli
    在 GitHub 上查看↗8,538
  • rrousselgit/riverpodrrousselGit 的头像

    rrousselGit/riverpod

    7,315在 GitHub 上查看↗

    Riverpod is a reactive state management framework for Dart that manages application state through providers which automatically track dependencies and rebuild dependents when values change. It functions as an asynchronous data caching library, caching results of async operations and exposing loading, error, and data states to widgets without manual future handling. The framework includes a provider composition system that combines multiple providers into derived values that recompute automatically when any dependency changes, along with code generation for state providers that reduces boilerpl

    Discards old persisted state on schema changes to enable clean initialization with the new data format.

    Dartdartflutterhacktoberfest
    在 GitHub 上查看↗7,315
  • ianstormtaylor/superstructianstormtaylor 的头像

    ianstormtaylor/superstruct

    7,141在 GitHub 上查看↗

    Superstruct is a JavaScript and TypeScript data validation library used to verify that data structures match defined shapes and types. It functions as a composable schema builder and a TypeScript schema validator, ensuring that runtime data checks remain synchronized with static type definitions. The library features a data coercion engine that transforms input values or injects default values before the validation process is executed. It enables the creation of complex validation rules by nesting, merging, or omitting properties from existing structures. Its capabilities cover the validatio

    Evaluates and validates incoming data against defined structural requirements and custom types.

    TypeScriptinterfacejavascriptschema
    在 GitHub 上查看↗7,141
上一个123下一个
  1. Home
  2. Data & Databases
  3. Structural Data Validators

探索子标签

  • Conversation Structure Validation1 个子标签Validation of data imports to ensure they adhere to a standardized conversation format. **Distinct from Structural Data Validators:** Unlike general structural validation, this specifically targets the conversation schema required for LLM training.
  • Data Structure Migration2 个子标签Processes for transforming and validating data as it moves from one structural format to another. **Distinct from Structural Data Validators:** Focuses on the active migration and transformation between formats, not just the static validation of the result.
  • Layout Structure Validators1 个子标签Tools for validating that HTML/CSS structures meet the requirements of a rendering engine. **Distinct from Structural Data Validators:** Distinct from Structural Data Validators: specifically validates DOM layouts and visual assets rather than general data schemas.
  • Nested Data Matchers1 个子标签Validation tools for applying assertions to specific fields within complex, nested data structures. **Distinct from Structural Data Validators:** Distinct from general structural validation: focuses on building nested matchers for a testing framework
  • Pattern-Based ValidatorsValidators that check strings or blocks against precise pattern rules such as email addresses, IP addresses, or arithmetic expressions. **Distinct from Structural Data Validators:** Distinct from Structural Data Validators: focuses on pattern-based validation of specific formats (email, IP, math) rather than general structural schema validation.
  • SQL Query Structure ValidatorsSpecialized validators that detect structural issues in SQL queries such as unused CTEs and redundant statements. **Distinct from Structural Data Validators:** Parent focuses on general data structure validation; this specifically targets SQL query logical structure.
  • Structured Data FormattersTools for beautifying, converting, and validating structured data formats like JSON, YAML, and XML. **Distinct from Structural Data Validators:** Distinct from Structural Data Validators: focuses on formatting and transformation (beautification) in addition to validation.