Custom Chart Libraries vs Plotly
Developers should learn or use custom chart libraries when standard charting tools like D3 meets developers should learn plotly when building data-driven applications that require interactive visualizations for exploratory data analysis, reporting, or dashboard creation. Here's our take.
Custom Chart Libraries
Developers should learn or use custom chart libraries when standard charting tools like D3
Custom Chart Libraries
Nice PickDevelopers 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
Plotly
Developers should learn Plotly when building data-driven applications that require interactive visualizations for exploratory data analysis, reporting, or dashboard creation
Pros
- +It is particularly useful in data science, business intelligence, and web development projects where users need to zoom, pan, hover for details, or filter data dynamically
- +Related to: python, javascript
Cons
- -Specific tradeoffs depend on your use case
The Verdict
Use Custom Chart Libraries if: You want js or chart and can live with specific tradeoffs depend on your use case.
Use Plotly if: You prioritize it is particularly useful in data science, business intelligence, and web development projects where users need to zoom, pan, hover for details, or filter data dynamically over what Custom Chart Libraries offers.
Developers should learn or use custom chart libraries when standard charting tools like D3
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