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Plottable.js vs React D3 Library: What are the differences?
- Data Visualization Capabilities: Plottable.js is a library specifically designed for creating interactive data visualizations, providing a wide range of chart types and customization options. In contrast, React D3 Library is a collection of reusable D3-based components that can be easily integrated into React applications for data visualization purposes, offering ready-made components for common chart types.
- Integration with Frameworks: Plottable.js is framework-agnostic, allowing developers to use it with any web framework of their choice. On the other hand, React D3 Library is built with React in mind, offering seamless integration with React applications and leveraging React's virtual DOM for efficient rendering and performance optimization.
- Learning Curve: Plottable.js has a steeper learning curve compared to React D3 Library due to its comprehensive API and advanced features for creating complex data visualizations. React D3 Library, on the other hand, simplifies the process of creating data visualizations by providing pre-built components that abstract away the complexities of D3.js.
- Community Support: Plottable.js has a smaller community and fewer resources available compared to React D3 Library, making it potentially harder to find solutions to issues or seek help when using the library. React D3 Library, being part of the React ecosystem, benefits from the vast community support and resources available for React developers.
- DOM Manipulation: Plottable.js abstracts away the DOM manipulation required for creating data visualizations, providing a higher-level API for rendering charts and components. In contrast, React D3 Library leverages D3.js for low-level DOM manipulation, giving developers more control over the rendering process and enabling advanced customization options.
- Componentization: React D3 Library encourages component-based development by providing reusable D3-based components that can be easily composed together to create complex data visualizations. Plottable.js, while offering a wide range of chart types, may require more manual work to achieve componentization compared to React D3 Library.
In Summary, the key differences between Plottable.js and React D3 Library lie in their data visualization capabilities, integration with frameworks, learning curve, community support, DOM manipulation approach, and componentization strategies.
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Learn MoreWhat is Plottable.js?
Built on top of D3, Plottable gives you a set of flexible, premade components that you can combine and rearrange to build charts.
What is React D3 Library?
An open source library that will allow developers the ability to reroute D3 output to React’s virtual DOM. Just use your existing D3 code, and with a few simples lines, you can now harness the power of React with the flexibility of D3!
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What tools integrate with Plottable.js?
What tools integrate with React D3 Library?
What tools integrate with Plottable.js?
What are some alternatives to Plottable.js and React D3 Library?
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.
Chart.js
Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.
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.
Matplotlib
It is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. It can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application servers, and four graphical user interface toolkits.
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.