Plotters is drawing library designed for rendering figures, plots, and charts, in pure rust. Plotters supports various types of back-ends,including bitmap, vector graph, piston window, GTK/Cairo and WebAssembly.

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  • A new Plotters Developer's Guide is working in progress. The preview version is available at here.
  • To try Plotters with interactive Jupyter notebook, or view here for the static HTML version.
  • To view the WASM example, go to this link
  • Currently we have all the internal code ready for console plotting, but a console based backend is still not ready. See this example for how to plotting on Console with a customized backend.
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Table of Contents

  • Concepts by examples
  • Misc

Quick Start

To use Plotters, you can simply add Plotters into your Cargo.toml

And the following code draws a quadratic function. src/,

Trying with Jupyter evcxr Kernel Interactively

Plotters now supports integrate with evcxr and is able to interactively drawing plots in Jupyter Notebook.The feature evcxr should be enabled when including Plotters to Jupyter Notebook.

The following code shows a minimal example of this.

Interactive Tutorial with Jupyter Notebook

This tutorial is now working in progress and isn't complete

Thanks to the evcxr, now we have an interactive tutorial for Plotters!To use the interactive notebook, you must have Jupyter and evcxr installed on your computer.Follow the instruction on this page below to install it.

After that, you should be able to start your Jupyter server locally and load the tutorial!

And select the notebook called evcxr-jupyter-integration.ipynb.

Also, there's a static HTML version of this notebook available at the this location

Plotting in Rust

Rust is a perfect language for data visualization. Although there are many mature visualization libraries in many different languages.But Rust is one of the best languages fits the need.

  • Easy to use Rust has a very good iterator system built into the standard library. With the help of iterators,Plotting in Rust can be as easy as most of the high-level programming languages. The Rust based plotting librarycan be very easy to use.

  • Fast If you need rendering a figure with trillions of data points,Rust is a good choice. Rust's performance allows you to combine data processing stepand rendering step into a single application. When plotting in high-level programming languages,e.g. Javascript or Python, data points must be down-sampled before feeding into the plottingprogram because of the performance considerations. Rust is fast enough to do the data processing and visualizationwithin a single program. You can also integrate thefigure rendering code into your application handling a huge amount of data and visualize it in real-time.

  • WebAssembly Support Rust is one of few the language with the best WASM support. Plotting in Rust could bevery useful for visualization on a web page and would have a huge performance improvement comparing to Javascript.

Plotting on HTML5 canvas with WASM Backend

Plotters currently supports backend that uses the HTML5 canvas. To use the WASM support, you can simply useCanvasBackend instead of other backend and all other API remains the same!

Boot disk mac os. There's a small demo for Plotters + WASM under examples/wasm-demo directory of this repo.To play with the deployed version, follow this link.

What types of figure are supported?

Plotters is not limited to any specific type of figure.You can create your own types of figures easily with the Plotters API.

But Plotters provides some builtin figure types for convenience.Currently, we support line series, point series, candlestick series, and histogram.And the library is designed to be able to render multiple figure into a single image.But Plotter is aimed to be a platform that is fully extendable to support any other types of figure.

Concepts by examples

Drawing Back-ends

Plotters can use different drawing back-ends, including SVG, BitMap, and even real-time rendering. For example, a bitmap drawing backend.

Drawing Area

Plotters uses a concept called drawing area for layout purpose.Plotters support multiple integrating into a single image.This is done by creating sub-drawing-areas.

Besides that, the drawing area also allows the customized coordinate system, by doing so, the coordinate mapping is done by the drawing area automatically.


In Plotters, elements are build blocks of figures. All elements are able to draw on a drawing area.There are different types of built-in elements, like lines, texts, circles, etc.You can also define your own element in the application code.

You may also combine existing elements to build a complex element.

To learn more about the element system, please read the element module documentation.

Composable Elements

Besides the built-in elements, elements can be composed into a logic group we called composed elements.When composing new elements, the upper-left corner is given in the target coordinate, and a new pixel-basedcoordinate which has the upper-left corner defined as (0,0) is used for further element composition purpose.

For example, we can have an element which includes a dot and its coordinate.

Chart Context

In order to draw a chart, Plotters need a data object built on top of the drawing area called ChartContext.The chart context defines even higher level constructs compare to the drawing area.For example, you can define the label areas, meshes, and put a data series onto the drawing area with the helpof the chart context object.


Development Version

To use the latest development version, pull In Cargo.toml

Reducing Depending Libraries && Turning Off Backends

Plotters now supports use features to control the backend dependencies. By default, BitMapBackend and SVGBackend are supported,use default_features = false in the dependency description in Cargo.toml and you can cherry-pick the backend implementations.

  • svg Enable the SVGBackend
  • bitmap Enable the BitMapBackend

For example, the following dependency description would avoid compiling with bitmap support:

The library also allows consumers to make use of the Palette crate's color types by default.This behavior can also be turned off by setting default_features = false.

List of Features

This is the full list of features that is defined by Plotters crate.Use default_features = false to disable those default enabled features,and then you should be able to cherry-pick what features you want to include into Plotters crate.By doing so, you can minimize the number of dependencies down to only itertools and compile time is less than 6s.

The following list is a complete list of features that can be opt in and out.

  • Drawing backends related features
NameDescriptionAdditional DependencyDefault?
image_encoderAllow BitMapBackend save the result to bitmap filesimage, rusttype, font-kitYes
svgEnable SVGBackend SupportNoneYes
gif_backendOpt-in GIF animation Rendering support for BitMapBackend, implies bitmap enabledgifYes
pistonEnable PistonWindowBackendpiston_window, rusttype, font-kitNo
cairoEnable CairoBackendcairo-rs, rusttype, font-kitNo
  • Font manipulation features
NameDescriptionAdditional DependencyDefault?
ttfAllows TrueType font supportrusttype, font-kitYes
  • Coordinate features
NameDescriptionAdditional DependencyDefault?
datetimeEanble the date and time coordinate supportchronoYes
  • Element, series and util functions
NameDescriptionAdditional DependencyDefault?
errorbarThe errorbar element supportNoneYes
candlestickThe candlestick element supportNoneYes
boxplotThe boxplot element supportNoneYes
area_seriesThe area series supportNoneYes
line_seriesThe line series supportNoneYes
histogramThe histogram series supportNoneYes
point_seriesThe point series supportNoneYes
  • Misc
NameDescriptionAdditional DependencyDefault?
deprecated_itemsThis feature allows use of deprecated items which is going to be removed in the futureNoneYes
debugEnable the code used for debuggingNoneNo

FAQ List

  • Why does the WASM example break on my machine ?

    The WASM example requires using wasm32 target to build. Using cargo build is likely to use the default targetwhich in most of the case is any of the x86 target. Thus you need add --target=wasm32-unknown-unknown in the cargoparameter list to build it.

  • How to draw text/circle/point/rectangle/.. on the top of chart ?

    As you may realized, Plotters is a drawing library rather than a traditional data plotting library,you have the freedom to draw anything you want on the drawing area.Use DrawingArea::draw to draw any element on the drawing area.

Stacking Root Combiner Rust


pub use palette;

How To Use A Root Combiner Rust



The high-level plotting abstractions.


Coordinate system abstractions.


The data processing module, which implements algorithms related to visualization of data.Such as, down-sampling, etc.


The drawing utils for Plotter. Which handles the both low-level and high-leveldrawing.


Defines the drawing elements, the high-level drawing unit in Plotters drawing system


The module imports the most commonly used types and modules in Plotters


This module contains predefined types of series.The series in Plotters is actually an iterator of elements, whichcan be taken by ChartContext::draw_series function.


The style for shapes and text, font, color, etc.

A library that allows proc_macro function-like macros to be parsed usingthe combine parser combinator crate.


When writing a #[proc_macro_derive] the input is Rust source code which iswell supported by the syn crate. However, when writing a #[proc_macro]macro, it is common to want to define a custom domain specific language.

This crate allows you to write a parser for your DSL using the combineparser combinator library. It also preserves the source span informationin the parsed result such that rustc can provide correct source locationsfor identifiers and literals that are re-used in the output.

Implementing a parser

Rust Short Circuit Max Depth

This is a basic example using base combine parsers.

Using the parser! macro can help remove boilerplate.

Implementing a macro

A proc macro must be defined at the crate root within the file.


pub use diagnostic::Incomplete;
pub use input::Input;
pub use input::Token;



Utilities to generate diagnostic error messages.


Wrappers and transforms to around proc_macro types to implement combine traits.


A collection of parsers for Tokens (similar to combine::parser::{char, byte, item}).


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A macro to remove the generics boilerplate when defining parsers.

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A word of Rust code, which may be a keyword or legal variable name.


A literal string ('hello'), byte string (b'hello'), character ('a'),byte character (b'a'), an integer or floating point number with or withouta suffix (1, 1u8, 2.3, 2.3f32).


An Punct is an single punctuation character like +, - or #.