Data Visualization Platforms vs Custom Chart Libraries
Developers should learn and use data visualization platforms when building applications that require interactive dashboards, real-time data monitoring, or data-driven reporting for non-technical stakeholders meets developers should learn or use custom chart libraries when standard charting tools like d3. Here's our take.
Data Visualization Platforms
Developers should learn and use data visualization platforms when building applications that require interactive dashboards, real-time data monitoring, or data-driven reporting for non-technical stakeholders
Data Visualization Platforms
Nice PickDevelopers should learn and use data visualization platforms when building applications that require interactive dashboards, real-time data monitoring, or data-driven reporting for non-technical stakeholders
Pros
- +They are essential in business intelligence, analytics, and data science projects where quick prototyping and collaboration are needed, such as in finance, marketing, or operations
- +Related to: data-analysis, business-intelligence
Cons
- -Specific tradeoffs depend on your use case
Custom Chart Libraries
Developers should learn or use custom chart libraries when standard charting tools like D3
Pros
- +js or Chart
- +Related to: d3-js, canvas-api
Cons
- -Specific tradeoffs depend on your use case
The Verdict
These tools serve different purposes. Data Visualization Platforms is a platform while Custom Chart Libraries is a library. We picked Data Visualization Platforms based on overall popularity, but your choice depends on what you're building.
Based on overall popularity. Data Visualization Platforms is more widely used, but Custom Chart Libraries excels in its own space.
Disagree with our pick? nice@nicepick.dev