How to install Envision.js?

Include envision.min.js and envision.min.css in your HTML, as per the usage section. It ships with all dependencies, so no separate npm installs are needed, but setup is manual and may feel outdated compared to modern package managers.

Envision.js vs Chart.js for interactive charts?

Envision.js is better for legacy browser support and custom, performance-tuned visualizations with data preprocessing. Chart.js offers more out-of-the-box chart types and easier setup for modern projects, but may lack IE6 compatibility.

How to create a custom chart with Envision.js?

Use the API to define components with envision.Component, configure adapters like Flotr2, and wire interactions with envision.Interaction. Refer to the custom example in the README, which requires coding data formatting and rendering steps.

Does Envision.js work with React?

Yes, but integration is manual—use refs to mount Envision.js visualizations in React components, as it relies on direct DOM manipulation. There's no native React support, so handling updates and state may add complexity.

How does Envision.js handle large datasets?

It optimizes performance through data preprocessing, including bounding and subsampling via the Preprocessor class. This reduces memory usage and rendering time, but benchmarks aren't provided, and effectiveness depends on data characteristics.

Is Envision.js still maintained?

The project's activity isn't specified in the README, and it uses older dependencies, suggesting it might not be actively updated. Check the GitHub repository for recent commits or community discussions for current status.

Open-Awesome

envisionjs

MITJavaScript

Fast interactive HTML5 charts with pre-built templates and a flexible API for custom visualizations.

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1.6k stars226 forks0 contributors

What is envisionjs?

Envision.js is a JavaScript library for creating fast, interactive HTML5 charts and visualizations. It solves the need for performant, cross-browser charting with support for both pre-built templates and custom builds. The library is designed to handle large datasets efficiently through data preprocessing and works on devices from IE6 to modern touch-enabled browsers.

Target Audience

Frontend developers and data visualization engineers who need to embed interactive charts in web applications, especially those requiring legacy browser support or custom visualization logic.

Value Proposition

Developers choose Envision.js for its balance of ease-of-use via templates and deep customization via a modular API, along with its strong focus on performance and broad browser compatibility.

Overview

Dynamic HTML5 visualization

Use Cases

Best For

Adding interactive time series charts to dashboards
Building custom data visualizations with synchronized components
Creating charts that must support Internet Explorer 6 and above
Developing touch-friendly charts for mobile web applications
Optimizing rendering performance for large datasets
Prototyping charts quickly with pre-built templates

Not Ideal For

Projects targeting only modern browsers where SVG-based libraries like D3.js or Chart.js offer lighter alternatives
Teams needing a wide variety of out-of-the-box chart types beyond time series without custom coding
Applications requiring seamless integration with modern frontend frameworks like React or Vue
Static data visualization needs where server-side rendering or static generation is preferred

Pros & Cons

Pros

Broad Browser Compatibility

Supports browsers from IE6 to modern versions, including mobile and touch devices, as highlighted in the features section, ensuring wide accessibility.

Performance-Optimized Data

Includes data preprocessing with bounding and subsampling to reduce memory and rendering overhead for large datasets, as described in the Preprocessor class documentation.

Modular Customization API

Offers a comprehensive API for building custom visualizations with components and interactions, allowing fine-grained control, as shown in the custom example with Visualization and Component classes.

Quick Template Implementation

Provides pre-built templates like TimeSeries for rapid chart deployment, with simple configuration options demonstrated in the usage section.

Cons

Dated Technology Stack

Relies on older dependencies like Flotr2, underscore.js, bean, and bonzo, which may lack modern updates or community support, potentially leading to maintenance issues.

Limited Template Variety

Templates appear focused on time series charts, with no mention of other common types like bar or pie charts, requiring custom builds for broader needs.

Complex Custom Setup

Building custom visualizations requires extensive code and deep understanding of the API, as evidenced by the lengthy custom example with multiple configuration steps.

Frequently Asked Questions

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