About this software
DataGraph is a macOS application for graphing and data analysis that produces publication-quality graphics. It provides a visual editor with immediate feedback, sliders, and menus to build and customize charts without writing code. The app imports CSV and JSON files, can connect to R scripts, and exports high-resolution images and MP4 animations. Licensing options include annual subscriptions (one user, one machine) and perpetual licenses with limited machine registration.
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JetBrains 3rd Party DataGraph JSON
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€34.24
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Benefits
- Publication quality output: Export high-resolution graphs suitable for research and publication
- Interactive visual editor: Edit graphs with sliders, menus, and immediate visual feedback
- Data import and formats: Import CSV, JSON, and local or online data sources for plotting
- Analysis and fitting tools: Includes basic statistics, curve fitting, and data transformation commands
- Flexible licensing options: Choose annual subscriptions or perpetual licenses with machine registration
Available languages
- English
Support information
- Documentation and examples: Publisher site provides guides, examples, and release notes for learning and reference
- User forum and community: An active community forum is available for questions and peer support
- Beta access for registrants: Registered license holders can download beta builds and the latest fixes from the site
- License registration process: Licenses are tied to an email and machine registration to verify usage limits
- Purchase channels: Software is sold directly on the publisher site and via the Mac App Store
Frequently asked questions
What is JetBrains 3rd Party DataGraph JSON?
A component for working with JSON-formatted data graphs in JetBrains development environments, focusing on parsing, serialization, and structured data exchange.
Which data format does it use?
It uses JSON to represent nodes and relationships as structured objects, enabling standard JSON parsing and processing workflows.
How can it be validated and debugged?
Validate with JSON schema and validators, inspect error messages, check node/edge structure and references, and use logging or diagnostic output for troubleshooting.
What integration points exist for development workflows?
Typical integration points include parsing into application data models, import/export pipelines, automated validation steps, and consumption by tools that process JSON-based graph data.