How to add tooltips to MetricsGraphics charts?

MetricsGraphics has limited built-in interactivity; you'll likely need to implement tooltips manually using JavaScript event listeners or extend the library, as the documentation doesn't highlight advanced interactive features.

MetricsGraphics vs Chart.js for time-series data?

MetricsGraphics is more lightweight and specialized for time-series, offering a smaller bundle and principled design, while Chart.js provides a wider chart variety but with a larger footprint. Choose MetricsGraphics for focused, performant time-series visualizations.

Can I use MetricsGraphics with React or Vue?

Yes, it's a plain JavaScript library, so you can integrate it by mounting charts in framework lifecycle methods, but there's no official wrapper, requiring manual DOM management and potential performance considerations.

How to customize colors and styles in MetricsGraphics?

Customization is possible through configuration options, but for extensive styling, you may need to override CSS or extend components, as the library prioritizes principled design over flexible theming out of the box.

Does MetricsGraphics support real-time data updates?

It can handle dynamic data updates, but its focus is on static or batch rendering; for smooth real-time animations, you'll need to manage data refreshes manually, as it lacks built-in animation or streaming optimizations.

What are the main limitations of MetricsGraphics?

Key limitations include a narrow chart type selection, basic interactivity, and reliance on specific tools like Yarn for development. It's best suited for simple, lightweight time-series charts rather than complex visualizations.

Open-Awesome

metrics-graphics

TypeScriptv2.11.0

A lightweight JavaScript library for creating principled, consistent time-series charts like line charts, scatterplots, and histograms.

Visit Website GitHub

7.4k stars461 forks0 contributors

What is metrics-graphics?

MetricsGraphics is a JavaScript library designed for creating concise and principled data graphics, specifically optimized for time-series visualizations. It provides a simple way to produce common chart types like line charts, scatterplots, and histograms with a focus on consistency and clarity. The library solves the problem of building lightweight, effective time-series charts without the bloat of larger visualization tools.

Target Audience

Frontend developers and data visualization practitioners who need to embed time-series charts in web applications with minimal overhead.

Value Proposition

Developers choose MetricsGraphics for its small bundle size (around 15kB gzipped), principled design ensuring visual consistency, and straightforward API that simplifies chart creation compared to more complex libraries.

Overview

A library optimized for concise and principled data graphics and layouts.

Use Cases

Best For

Embedding time-series charts in dashboards or reports
Creating lightweight line charts for web applications
Visualizing temporal data with scatterplots or histograms
Building data-heavy interfaces where performance is critical
Projects needing consistent, principled chart designs
Adding simple, interactive charts without large dependencies

Not Ideal For

Projects needing diverse chart types like bar charts, pie charts, or geographical maps
Applications requiring advanced interactivity such as drag-and-drop, complex animations, or extensive tooltip customization
Teams that want pre-styled, drop-in chart components without additional CSS or design work
Environments where JavaScript execution is heavily restricted or server-side rendering without client-side JS is required

Pros & Cons

Pros

Lightweight Bundle

At around 15kB gzipped, it minimizes load times and performance impact, making it ideal for data-heavy web applications, as emphasized in the README with BundlePhobia badges.

Time-Series Optimization

Specifically built for temporal data, ensuring efficient handling and layout for line charts, scatterplots, and histograms, which is its core focus as stated in the description.

Simple API

Easy to mount charts with minimal code, as shown in the example where a line chart is created with a straightforward configuration object and target element.

Principled Design

Emphasizes consistency and clarity in visualizations, reducing design overhead and ensuring effective graphics, which aligns with the library's philosophy of concise, principled data graphics.

Cons

Limited Chart Variety

Only supports line charts, scatterplots, histograms, and rug plots, missing common types like bar or pie charts, which the README confirms and could hinder broader visualization needs.

Basic Interactivity

Focus on simplicity means fewer built-in interactive features such as tooltips, zooming, or panning compared to more comprehensive libraries like D3.js, requiring manual implementation for advanced use cases.

Development Setup Complexity

Uses Yarn Workspaces for development, which can be a barrier for contributors or teams not familiar with monorepo setups, as indicated in the setup instructions requiring Yarn installation.

Frequently Asked Questions

Related Projects

recharts

Redefined chart library built with React and D3

Stars27,548

Forks1,983

Last commit19 hours ago

🐯 visx | visualization components

Stars21,036

Forks771

Last commit2 months ago

plotly.js

Open-source JavaScript charting library behind Plotly and Dash

Stars18,318

Forks2,025

Last commit3 days ago

nivo

nivo provides a rich set of dataviz components, built on top of the awesome d3 and React libraries

Stars14,092

Forks1,081

Last commit1 month ago

Community-curated · Updated weekly · 100% open source

Found a gem we're missing?

Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.

Submit a project Star on GitHub