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Learn MorePros of D3.js
Pros of Chart.js
Pros of MetricsGraphics.js
Pros of D3.js
- Beautiful visualizations195
- Svg103
- Data-driven92
- Large set of examples81
- Data-driven documents61
- Visualization components24
- Transitions20
- Dynamic properties18
- Plugins16
- Transformation11
- Makes data interactive7
- Open Source4
- Enter and Exit4
- Components4
- Exhaustive3
- Backed by the new york times3
- Easy and beautiful2
- Highly customizable1
- Awesome Community Support1
- Simple elegance1
- Templates, force template1
- Angular 41
Pros of Chart.js
- Offers all types of charts19
- Interactive Charts14
- It's totally free10
Pros of MetricsGraphics.js
- Simple2
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Cons of D3.js
Cons of Chart.js
Cons of MetricsGraphics.js
Cons of D3.js
- Beginners cant understand at all11
- Complex syntax6
Cons of Chart.js
- Slow rendering12
- Bitmap quality export2
- Low quality zoom plugin1
- It's totally free0
Cons of MetricsGraphics.js
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- No public GitHub repository available -
What is D3.js?
It is a JavaScript library for manipulating documents based on data. Emphasises on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework.
What is Chart.js?
Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.
What is MetricsGraphics.js?
MetricsGraphics.js is a library built on top of D3 that is optimized for visualizing and laying out time-series data. It provides a simple way to produce common types of graphics in a principled, consistent and responsive way. The library currently supports line charts, scatterplots and histograms as well as features like rug plots and basic linear regression.
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What tools integrate with D3.js?
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What are some alternatives to D3.js, Chart.js, and MetricsGraphics.js?
three.js
It is a cross-browser JavaScript library and Application Programming Interface used to create and display animated 3D computer graphics in a web browser.
Plotly.js
It is a standalone Javascript data visualization library, and it also powers the Python and R modules named plotly in those respective ecosystems (referred to as Plotly.py and Plotly.R).
It can be used to produce dozens of chart types and visualizations, including statistical charts, 3D graphs, scientific charts, SVG and tile maps, financial charts and more.
Highcharts
Highcharts currently supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types.
Python
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
Tableau
Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.