StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Business Tools
  3. UI Components
  4. Charting Libraries
  5. Koto vs MetricsGraphics.js

Koto vs MetricsGraphics.js

OverviewComparisonAlternatives

Overview

MetricsGraphics.js
MetricsGraphics.js
Stacks3
Followers22
Votes2
Koto
Koto
Stacks1
Followers13
Votes0
GitHub Stars277
Forks13

Koto vs MetricsGraphics.js: What are the differences?

Koto: A D3 charting framework written in ES6. KotoJS is HEAVILY inspired by another reusable charting framework maintained by the Miso Project called d3.chart. I think that project is well designed and well documented. For those who are not familiar with d3.chart, the framework provides a logical way to ensure that all data-visualization components that are authored using the framework are done in a way that facilitates re-usablily; MetricsGraphics.js: D3-based library optimized for visualizing time-series data. 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.

Koto and MetricsGraphics.js can be primarily classified as "Charting Libraries" tools.

Koto and MetricsGraphics.js are both open source tools. MetricsGraphics.js with 7.11K GitHub stars and 497 forks on GitHub appears to be more popular than Koto with 282 GitHub stars and 15 GitHub forks.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

MetricsGraphics.js
MetricsGraphics.js
Koto
Koto

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.

KotoJS is HEAVILY inspired by another reusable charting framework maintained by the Miso Project called d3.chart. I think that project is well designed and well documented. For those who are not familiar with d3.chart, the framework provides a logical way to ensure that all data-visualization components that are authored using the framework are done in a way that facilitates re-usablily.

Line Chart;Multi-Line Chart;Few Observations;Small Range of Integers;Annotations;Some Percentages;Some Currency;X-Axis Not Time, Animated;Glorious Graphic;Multi-Line Linked
-
Statistics
GitHub Stars
-
GitHub Stars
277
GitHub Forks
-
GitHub Forks
13
Stacks
3
Stacks
1
Followers
22
Followers
13
Votes
2
Votes
0
Pros & Cons
Pros
  • 2
    Simple
No community feedback yet
Integrations
D3.js
D3.js
D3.js
D3.js
ES6
ES6

What are some alternatives to MetricsGraphics.js, Koto?

D3.js

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.

Highcharts

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.

Plotly.js

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.

Chart.js

Chart.js

Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.

Recharts

Recharts

Quickly build your charts with decoupled, reusable React components. Built on top of SVG elements with a lightweight dependency on D3 submodules.

ECharts

ECharts

It is an open source visualization library implemented in JavaScript, runs smoothly on PCs and mobile devices, and is compatible with most current browsers.

ZingChart

ZingChart

The most feature-rich, fully customizable JavaScript charting library available used by start-ups and the Fortune 100 alike.

amCharts

amCharts

amCharts is an advanced charting library that will suit any data visualization need. Our charting solution include Column, Bar, Line, Area, Step, Step without risers, Smoothed line, Candlestick, OHLC, Pie/Donut, Radar/ Polar, XY/Scatter/Bubble, Bullet, Funnel/Pyramid charts as well as Gauges.

CanvasJS

CanvasJS

Lightweight, Beautiful & Responsive Charts that make your dashboards fly even with millions of data points! Self-Hosted, Secure & Scalable charts that render across devices.

AnyChart

AnyChart

AnyChart is a flexible JavaScript (HTML5) based solution that allows you to create interactive and great looking charts. It is a cross-browser and cross-platform charting solution intended for everybody who deals with creation of dashboard, reporting, analytics, statistical, financial or any other data visualization solutions.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase