Highcharts
Highcharts is a JavaScript charting library that allows developers to create interactive and visually appealing charts for web applications. It offers a wide range of chart types, including line charts, bar charts, pie charts, scatter plots, and more. It also supports different types of data, including CSV, JSON, and even live data streams. One of the key features of Highcharts is its ability to customize the look and feel of the charts. Developers can easily change the colors, font sizes, and other visual elements to match their brand or design. Additionally, it offers a variety of options for making charts responsive, so they look great on any device. Another great feature is the ability to add interactive elements to charts, such as hover effects, tooltips, and click events. This allows developers to create charts that are not only informative, but also engaging for users. Highcharts also supports exporting charts as PNG, JPEG, PDF, or SVG, making it easy to share or print them.
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Okyline
Okyline is an Executable Data Design (EDD) platform for declarative data validation contracts and measurable operational data quality.
Instead of maintaining disconnected specifications, validators, tests, and quality dashboards, Okyline uses a single executable contract as the operational source of truth for validation and flow quality monitoring.
The same readable contract drives multi-format validation, deterministic execution, quality measurement, data quality gate, and historical quality analytics across APIs, events, files, LLM structured outputs, and enterprise data flows.
Community Edition provides the open specification, a free Java validation runtime, a public Claude AI assistant for contract generation, and a free online studio for executable JSON validation contracts and JSON Schema transpilation.
Enterprise Edition supports direct validation of JSONL, XML, CSV, FIXED, and EDI flows, data quality gate, and operational quality dashboards, all without databases
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JSON Crack
JSON Crack is an open source tool that transforms complex data formats, including JSON, YAML, CSV, XML, and TOML, into interactive, visually intuitive graphs, enhancing data comprehension and analysis. Users can input data directly, upload files, or provide URLs, and it automatically generates a visual tree graph. It supports data conversion between formats, such as JSON to CSV or XML to JSON, and includes features like JSON formatting, validation, and code generation for TypeScript interfaces, Golang structs, and JSON Schemas. Advanced tools are available for decoding JWTs, executing JQ queries, and performing JSON Path commands. Users can export visualizations as PNG, JPEG, or SVG files. All data processing occurs locally on the user's device, ensuring data privacy.
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