Back to Blog

Easily Visualize JSON and Cloud Architecture

Visualizing JSON Files with JsonCrack

JSON files, especially nested ones, can be challenging to read and understand due to their complex structure. JsonCrack is a tool that simplifies this process by generating graph diagrams from JSON files, making them easier to interpret. 2 6

Image credit ByteByteGo

What is JsonCrack?

JsonCrack is a versatile tool that empowers users to visualize, analyze, and easily manipulate data. It is beneficial for transforming JSON data into graph diagrams, which are more human-readable 2. This open-source and innovative tool makes it popular among developers and data analysts 6.

How Does JsonCrack Work?

JsonCrack takes JSON data and instantly visualizes it into graphs. This visualization process makes it easier to read and follow the structure of your JSON data. 6. The tool is not limited to local JSON files; it can also visualize a JSON response from a URL, making it versatile for various applications. 1

Using JsonCrack

To use JsonCrack, you simply paste your JSON data into their editor to visualize it. The tool also provides an API, which could be used to call the API and then use the visualizer within a development environment like Postman to display the result. 6

Image credit ByteByteGo

Turning Code into Architecture Diagrams

Automatically turning code into architecture diagrams is a powerful way to visualize and understand the structure of a system. This can be achieved using a tool like Diagrams, which allows you to draw the cloud system architecture in Python code. 3 7

What is Diagrams?

Diagrams is a tool that lets you draw the cloud system architecture in Python code. It was designed for prototyping a new system architecture without any design tools. You can also describe or visualize the existing system architecture 3 7.

How Does Diagrams Work?

Diagrams allow you to track the architecture diagram changes in any version control system. It supports significant providers, including AWS, Azure, GCP, Kubernetes, Alibaba Cloud, Oracle Cloud, and more. It also supports On-Premise nodes, SaaS, and major Programming frameworks and languages. 7

Using Diagrams in Jupyter Notebooks

One of the unique features of Diagrams is that it can render diagrams directly inside Jupyter Notebooks. This feature is handy for data scientists and researchers who use Jupyter Notebooks for their work 4.

In conclusion, tools like JsonCrack and Diagrams are potent resources for visualizing complex data structures and system architectures. They provide a more intuitive and human-readable way to understand and analyze data, making them invaluable tools for developers, data analysts, and researchers.