X-Ray vs Deepviz

Struggling to choose between X-Ray and Deepviz? Both products offer unique advantages, making it a tough decision.

X-Ray is a Development solution with tags like screenshot, javascript, mapping, visualization.

It boasts features such as Visualize frontend JavaScript frameworks and backend API endpoints, Explore internal web application structures without access to source code, Take screenshots of application structure, Analyze dependencies and data flow and pros including Open-source and free to use, Provides valuable insights into web application architecture, Helps understand complex applications without access to source code, Supports a wide range of frontend and backend technologies.

On the other hand, Deepviz is a Ai Tools & Services product tagged with data-visualization, analytics, ai, machine-learning, dashboards.

Its standout features include Automated data visualization, Interactive dashboards, Anomaly detection, Forecasting, Root cause analysis, Natural language queries, and it shines with pros like Easy to use, no coding required, Automatically surfaces insights from data, Scales to large datasets, Integrates with many data sources, Collaboration features.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

X-Ray

X-Ray

X-Ray is an open-source desktop application that allows users to explore and take screenshots of internal web application structures without having access to the source code. It maps out frontend JavaScript frameworks and backend API endpoints to visualize dependencies and data flow.

Categories:
screenshot javascript mapping visualization

X-Ray Features

  1. Visualize frontend JavaScript frameworks and backend API endpoints
  2. Explore internal web application structures without access to source code
  3. Take screenshots of application structure
  4. Analyze dependencies and data flow

Pricing

  • Open Source

Pros

Open-source and free to use

Provides valuable insights into web application architecture

Helps understand complex applications without access to source code

Supports a wide range of frontend and backend technologies

Cons

May not work with all web applications due to varying complexity

Limited to desktop usage, no mobile support

Requires some technical knowledge to effectively use


Deepviz

Deepviz

Deepviz is a data visualization and analytics platform that leverages AI and machine learning to automatically generate insights from data. It allows users to easily create interactive dashboards and visualizations.

Categories:
data-visualization analytics ai machine-learning dashboards

Deepviz Features

  1. Automated data visualization
  2. Interactive dashboards
  3. Anomaly detection
  4. Forecasting
  5. Root cause analysis
  6. Natural language queries

Pricing

  • Subscription-Based
  • Pay-As-You-Go

Pros

Easy to use, no coding required

Automatically surfaces insights from data

Scales to large datasets

Integrates with many data sources

Collaboration features

Cons

Limited customization compared to coding visualizations

Not open source

Can be expensive for large deployments