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.
MetricsGraphics.js is a tool in the Charting Libraries category of a tech stack.
MetricsGraphics.js is an open source tool with GitHub stars and GitHub forks. Here’s a link to MetricsGraphics.js's open source repository on GitHub
Who uses MetricsGraphics.js?
MetricsGraphics.js Integrations
Pros of MetricsGraphics.js
2
MetricsGraphics.js's Features
- 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
MetricsGraphics.js Alternatives & Comparisons
What are some alternatives to MetricsGraphics.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.
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.
