30 open-source projects similar to mangiucugna/json_repair, ranked by shared indexed features. Tags may describe platforms or build tools rather than the same primary purpose. Check each project’s use case, license, and deployment requirements before treating it as a replacement.
Ajv is a JSON Schema validator and schema compilation engine used to verify that JavaScript objects conform to specific JSON Schema definitions. It functions as a data coercer and localization tool, allowing for the application of default values and the translation of validation error messages into different languages. The project converts declarative JSON Schema definitions into optimized JavaScript functions to increase validation speed. It supports the extension of validation logic through custom keywords and the generation of standalone validation code that executes without external depen
This project is a Java library designed to validate JSON documents against defined schema specifications. It functions as a standards-compliant engine that ensures data integrity by checking structural compliance and enforcing business rules within Java applications. The library distinguishes itself through its flexible validation strategies, allowing developers to inject custom logic and pattern-matching engines to handle specialized data formats. It supports configurable execution modes, enabling users to either halt validation immediately upon the first error or collect all violations for
This project is a Python implementation of the JSON Schema specification, providing a library for verifying that data instances conform to defined schemas. It serves as a data validation framework capable of validating both the data itself and the schemas against official meta-schemas to ensure structural correctness. The library features a schema reference resolver that maps URIs to definitions, enabling the resolution of internal and remote references for modular schema management. It is designed for extensibility, allowing for the definition of custom keywords, custom type-checking logic,
This library is a Ruby-based validation engine designed to verify JSON data structures against official schema specifications. It ensures data integrity by confirming that objects, strings, and files conform to defined structural constraints, while also validating the integrity of the schema definitions themselves against official metaschema standards. The project distinguishes itself through a highly modular architecture that allows for deep customization. Users can register custom validation rules and format handlers to enforce project-specific business logic that extends beyond standard sp
This library is a Java-based tool for enforcing data structure constraints and verifying technical formats against defined schema specifications. It functions as a processing utility that parses complex data structures while managing external schema references and circular dependencies. The engine distinguishes itself through an immutable processor design that enables thread-safe, concurrent validation without requiring external synchronization. It employs arbitrary-precision arithmetic to evaluate numeric constraints, preventing common floating-point rounding errors, and utilizes character-l
This project is a JSON Schema validation library and framework used to verify that data instances conform to declarative definitions. It functions as a validation engine that enforces structural constraints and data types, while also serving as a meta-validator to ensure schema definitions themselves are syntactically correct against official meta-schemas. The library is designed for extensibility, allowing users to define custom validation logic by mapping schema keywords to specialized callable functions. It includes a registry-based reference resolver for managing internal and external URI
jsoneditor is a web-based JSON editor component designed for viewing, editing, and formatting structured data. It provides a user interface for managing JSON through multiple rendering modes, including tree, form, and code views. The project is distinguished by its ability to process and visualize exceptionally large datasets, utilizing virtualized memory management to handle JSON files up to 500 MiB without crashing the browser. It also includes a specialized syntax repair tool to convert malformed text into valid JSON and a data transformer for filtering, sorting, and reshaping documents vi
Valibot is a modular, type-safe schema library for validating and parsing structural data in TypeScript environments.
AWS Powertools for Python is a utility framework designed for building production-ready Python functions on AWS Lambda. It provides a comprehensive suite of tools for observability, event parsing, routing, and idempotency management to streamline the development of serverless applications. The project distinguishes itself through specialized capabilities for event-driven architectures and AI agent orchestration. It enables the implementation of AI agents by exposing functions as tools via OpenAPI schemas and managing conversation states. Additionally, it features an idempotency library that p
DreamBerd is a general purpose programming language designed for building applications with integrated support for reactive state, time-aware memory management, and embedded user interface markup. It functions as a programming environment that tracks dynamic values and coordinates asynchronous tasks through sequential execution constraints. The language is distinguished by its ability to track variable history, providing dedicated keywords to retrieve previous, current, and future values of variables during execution. It further differentiates itself through a memory model that controls varia
The WordPress REST API is a web interface and JSON-based content API that allows for the retrieval and modification of site content, users, and metadata using standard HTTP methods. It functions as a headless CMS interface, decoupling content management from the frontend by exposing site data through a programmable RESTful controller. The system is distinguished by its hypermedia-driven discovery and JSON-schema-based validation, which allow clients to programmatically locate resources and ensure predictable data exchange. It utilizes namespace-based endpoint registration to organize routes a
Spectral is a programmable linting engine and validation tool designed to enforce style guidelines and schema correctness within OpenAPI specifications and JSON configuration files. It functions as a rule-based validator that analyzes structured text files to ensure data consistency and adherence to predefined constraints. The engine utilizes a configuration-driven execution model, allowing users to manage pluggable rule sets and integrate JSON Schema definitions. It supports the creation of custom function-based rules to define complex validation logic beyond static declarations. The projec
SchemaStore is a centralized JSON schema registry and configuration validation service. It serves as a searchable catalog of standardized JSON definitions used to verify that configuration files adhere to predefined structural rules and data types. The project functions as an autocomplete provider, suggesting available keys and valid values for configuration files during the editing process. It employs a remote directory of schemas indexed by file path and pattern to provide a single source of truth for validation and autocompletion in text editors. The system covers automated configuration
HackMyResume is a command-line tool that generates polished résumés and CVs in multiple formats from a single JSON or YAML data source. It validates résumé documents against the FRESH or JSON Resume schema, converts between these two formats, and produces output in HTML, Markdown, LaTeX, MS Word, PDF, plain text, JSON, XML, and YAML. The tool supports custom themes through a plugin architecture, allowing users to apply visual styling via Handlebars templates and register custom helpers for extended template logic. It can merge multiple résumé JSON files into one, overriding generic data with
Objection.js is an object-relational mapper for Node.js that maps SQL database tables to classes and rows to model instances. It functions as a high-level abstraction layer built on top of the Knex.js query builder to provide structured model definitions and relational data mapping. The project distinguishes itself through its ability to manage complex object graphs, allowing for the persistence and eager-loading of deeply nested related data in single operations. It incorporates a data integrity layer that uses JSON schema validation to verify model instances before they are persisted to the
v8n is a JavaScript data validation library used to verify that values, objects, and arrays meet specific criteria. It functions as a schema-based validator and an asynchronous validation engine, utilizing a fluent API to construct sequences of chainable rules and constraints. The framework is distinguished by its ability to execute promises and network requests during the validation process to determine if a value is valid. It allows for the creation of reusable validation schemas and provides a customizable rule framework where users can define their own logic and configure how error result
This project provides a standardized data format for representing professional work history and skills using structured objects. It serves as a formal specification for verifying that career information conforms to required fields and structural constraints, ensuring consistent representation across digital platforms and services. By decoupling raw professional information from its visual presentation, the schema enables the programmatic generation of resumes in multiple formats from a single source. This approach allows for the creation of machine-readable files that can be parsed and render
Kinto is a cloud state backend designed for storing and synchronizing JSON data across multiple devices. It provides a centralized service for managing schema-less JSON records organized into buckets and collections, ensuring a consistent state through a REST API. The system supports collaborative data sharing by granting read and write access to specific documents or collections via user groups and permissions. It enables document synchronization using change feed tracking and deletion markers to update clients with the latest state. Capabilities include fine-grained access control, JSON sc
Typia is a compile-time code generator that transforms TypeScript type annotations into runtime validation, serialization, and schema functions without requiring decorators or separate schema files. It generates optimized validation and serialization code during TypeScript compilation, producing dedicated functions for each type that eliminate runtime schema objects for faster execution. The project extends this core capability into several integrated areas. It generates fully typed client SDKs from NestJS controller source code, keeping server and client types synchronized automatically. It
The YAML Language Server is a backend service that provides intelligent editing support for YAML files by implementing the Language Server Protocol. It functions as a validation and analysis engine, enabling code editors to offer real-time diagnostics, structural feedback, and automated assistance for configuration-heavy development workflows. The project distinguishes itself through its schema-driven approach to data integrity, utilizing a JSON Schema validation engine to verify document structure against formal definitions. It supports complex configuration management by allowing developers
mcpo is a gateway and router that converts Model Context Protocol tools into standard REST API endpoints. It functions as a validation proxy and security layer, mapping multiple tool server configurations to unique URL paths while using standardized schema definitions to validate input parameters and output formats. The project implements an OAuth security layer using dynamic client registration to verify identities via an authentication server. It also acts as a bridge for reverse proxies by applying configurable base paths to internal endpoints, ensuring compatibility with network load bala
ts-essentials is a comprehensive toolkit of utility types and libraries for TypeScript, providing advanced primitives for recursive structural transformations, runtime assertions, and type guards. It serves as a utility library for performing complex type-level programming to ensure stronger type safety and reduce boilerplate. The project distinguishes itself through a specialized set of tools for deep object manipulation, such as recursively applying read-only or optional modifiers across nested hierarchies. It also provides a dedicated set of strict type constraints to ensure data structure
Jsonformer is a constrained text generator and schema enforcer that forces language models to produce syntactically correct JSON. It acts as a validator and formatter, ensuring that the output of an AI model strictly conforms to a predefined structural schema. The system achieves this by restricting the tokens a language model can generate and inserting fixed structural characters into the output stream. This process guarantees that the resulting data follows the specified JSON schema for reliable programmatic integration. The project covers broad capabilities in output constraining, structu
fastjson2 is a high-performance Java library used for serializing and deserializing Java objects to and from JSON strings and byte arrays. It functions as a binary JSON serializer for encoding objects into optimized binary formats to reduce payload size and increase processing speed. The project includes a JSONPath query engine for extracting specific data and fields from JSON documents using standardized path expressions and filters. It also serves as a JSON schema validator, providing utilities to generate data contracts and validate JSON input against defined schemas to ensure structural c
Apostrophe is an open-source Node.js headless content management system that delivers structured content through REST APIs while providing a visual in-context page editor for live editing. It is built on a module-based plugin architecture that extends CMS functionality through reusable modules, each encapsulating logic, configuration, and templates. The system uses schema-driven content modeling to define data structures and validation rules through configurable schemas and custom field types, with all content stored as flexible JSON-like documents in MongoDB. The platform distinguishes itsel
This is a TOML parser and serializer for the Go language. It serves as a data serialization library and configuration file mapper that encodes and decodes data between Go structures and the TOML configuration format. The library provides interfaces for custom type marshaling, allowing for specialized logic when parsing or serializing specific data types. It transforms structured objects into deterministic TOML documents for storage or transmission. The project covers a broad range of data processing capabilities, including structured value encoding, TOML data generation, and metadata inspect
CUE is a constraint-based configuration language designed for data validation, schema definition, and code generation. At its core, it unifies types and values into a single concept, enabling compile-time validation that catches structural and value errors before runtime. The language treats data and constraints as the same thing, allowing a single definition to serve as both a schema and concrete configuration data. CUE distinguishes itself through its constraint-based unification engine, which combines multiple configuration sources into a single coherent result by merging their constraints
This project provides a library of standardized configuration templates and infrastructure-as-code tooling designed to create reproducible, containerized development environments. By utilizing the Dev Container specification, it enables teams to define isolated workspaces that ensure consistent tooling, runtimes, and editor settings across different machines and team members. The project distinguishes itself by offering a framework for authoring and distributing reusable environment definitions as container images. This approach leverages existing registry infrastructure for versioning and di
The mlops-python-package serves as a standardized Python project template, data access abstraction layer, and workflow orchestrator for machine learning operations. It structures artificial intelligence workflows by connecting data processing and model training steps using directed acyclic graphs to manage execution order and inter-step dependencies. The framework manages external configuration files and global service contexts to control program execution parameters and share dependencies across the application lifecycle. It includes strict type schema validation for tabular data frames and
go-swagger is a toolkit for working with Swagger/OpenAPI 2.0 specifications in Go. It generates server, client, and CLI code from a specification document, and can also produce a specification by scanning annotated Go source code. The project includes a static validation engine that checks documents against the schema and project-specific rules, and a specification transformation pipeline that resolves, flattens, and merges documents. The toolkit generates both client and server code from the same specification, ensuring consistency in request and response handling. It also produces a command