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What is JSON Crack?

JSON Crack is an innovative open-source application designed to transform complex data formats such as JSON, YAML, CSV, XML, and TOML into visually appealing and comprehensible graphs, thus improving data analysis and interpretation. Users can either input data manually, upload files, or share links, with the application efficiently generating a visual tree graph from the provided information. It also supports data conversion between different formats, enabling simple transitions from JSON to CSV or XML to JSON, while offering features for JSON formatting, validation, and automatic code generation for TypeScript interfaces, Golang structs, and JSON Schemas. In addition, the platform includes advanced functionalities for decoding JWTs, running JQ queries, and executing JSON Path commands. Users have the option to export their visualizations in formats like PNG, JPEG, or SVG, ensuring that they can share their insights easily. Crucially, all data processing occurs locally on the user’s device, safeguarding their privacy. This robust tool not only enhances user experience but also equips developers and data analysts with secure and efficient methods to manage their data, making it an essential asset in the realm of data handling. Ultimately, JSON Crack stands out as a comprehensive solution that caters to the diverse needs of those working with data.

What is Data Contract Editor?

The Data Contract Editor is a web-based solution tailored for the development and oversight of data contracts that comply with the Open Data Contract Standard. This application streamlines the tasks of creating, modifying, viewing, and validating data contracts, especially beneficial for individuals who find YAML writing to be challenging. It fully complies with the ODCS, including support for version 3.1.0, and presents users with multiple ways to engage with a single contract. Users have the option to employ a Visual Editor to create data models and relationships via an easy-to-navigate graphical interface, a Form Editor that guides them through inputting standard data contract attributes, or a YAML Editor that enables direct YAML modifications with helpful code suggestions. Moreover, it includes a live HTML preview, instant validation feedback, linting features, a diff view for tracking changes, and testing functionalities to ensure that data contracts correspond accurately with actual data products. The application is accessible directly from any web browser, can be launched locally using npx datacontract-editor, customized for particular data contract files, or set up within a Docker container, thereby accommodating diverse user preferences. In essence, the Data Contract Editor not only streamlines the management of data contracts but also provides a versatile platform that adapts to various user workflows and requirements, ultimately improving productivity.

Media

Media

Integrations Supported

YAML
Dafthunk
Docker
Go
Google Sheets
HTML
JSON
Microsoft Excel
Rust
TypeScript
Visual Studio Code
XML

Integrations Supported

YAML
Dafthunk
Docker
Go
Google Sheets
HTML
JSON
Microsoft Excel
Rust
TypeScript
Visual Studio Code
XML

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

ToDiagram

Date Founded

2022

Company Location

Turkey

Company Website

jsoncrack.com

Company Facts

Organization Name

Entropy Data

Company Location

Germany

Company Website

editor.datacontract.com

Categories and Features

Categories and Features

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