A D3.js plugin that produces flame graphs from hierarchical data.

Overview

d3-flame-graph

A D3.js plugin that produces flame graphs from hierarchical data.

Flame Graph Example

If you don't know what flame graphs are, check Brendan Gregg's post.

Flame graphs are a visualization of profiled software, allowing the most frequent code-paths to be identified quickly and accurately. They can be generated using my open source programs on github.com/brendangregg/FlameGraph, which create interactive SVGs.

Brendan Gregg

Examples

Click here to check the demo, and source.

Click here to check the animated assembly demo, and source

Click here to check the simplified demo on bl.ocks.org.

Getting Started

jsdelivr CDN

Just reference the CDN hosted CSS and JS files!

">
<head>
  <link rel="stylesheet" type="text/css" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/d3-flamegraph.css">
head>
<body>
  <div id="chart">div>
  <script type="text/javascript" src="https://d3js.org/d3.v7.js">script>
  <script type="text/javascript" src="https://cdn.jsdelivr.net/npm/[email protected]/dist/d3-flamegraph.min.js">script>
  <script type="text/javascript">
  var chart = flamegraph()
    .width(960);

  d3.json("data.json", function(error, data) {
    if (error) return console.warn(error);
    d3.select("#chart")
      .datum(data)
      .call(chart);
  });
  script>
body>

NPM

Make sure Node and npm installed on your system.

Install the d3-flame-graph plugin.

$ npm install d3-flame-graph --save

And use it!

">
<head>
  <link rel="stylesheet" type="text/css" href="node_modules/d3-flame-graph/dist/d3-flamegraph.css">
head>
<body>
  <div id="chart">div>
  <script type="text/javascript" src="node_modules/d3/d3.js">script>
  <script type="text/javascript" src="node_modules/d3-flame-graph/dist/d3-flamegraph.js">script>
  <script type="text/javascript">
  var chart = flamegraph()
    .width(960);
  
  d3.json("data.json")
    .then((data) => {
      d3.select("#chart")
        .datum(data)
        .call(chart);
    })
    .catch(error => {
      return console.warn(error);
    });
  script>
body>

More detailed examples in the /examples directory.

Input Format

Input stack is a simple hierarchical data structure in JSON format.

", "value": , "children": [ ] } ">
{
  "name": "
     
      "
     ,
  "value": <value>,
  "children": [
    <Object>
  ]
}

The burn CLI tool can convert multiple file formats to this hierarchical data structure.

Interacting with entries

Internally, the data is transformed into a d3 hierarchy. Functions like onClick, label and zoom expose individual entries as hierarchy Nodes, which wrap the provided data and add more properties:

, "parent": , "children": [ ], "x1": , // x2 - x1 is the size of this node, as a fraction of the root. "x2": } ">
{
  "data": 
          
           ,
  "parent": 
           
            ,
  "children": [
    
            
             
  ],
  "x1": 
             
              ,  // x2 - x1 is the size of this node, as a fraction of the root.
  "x2": 
              
                } 
              
             
            
           
          

This is a breaking change from previous versions of d3-flame-graph, which were based on version 3 of the d3 library. See d3-hierarchy.

API Reference

# flamegraph()

Create a new Flame Graph.

# flamegraph.selfValue([enabled])

Defines if the plugin should use the self value logic to calculate the node value for the Flame Graph frame size. If set to true, it will assume the node value from the input callgraph represents only the internal node value, or self value, not the sum of all children. If set to false it will assume the value includes the chidren values too. Defaults to false if not explicitely set, which if the same behavior 1.x had.

# flamegraph.width([size])

Graph width in px. Defaults to 960px if not set. If size is specified, it will set the graph width, otherwise it will return the current graph width.

# flamegraph.height([size])

Graph height in px. Defaults to the number of cell rows times cellHeight if not set. If size is specified, it will set the cell height, otherwise it will return the current graph height. If minHeight is specified, and higher than the provided or calculated values, it will override height.

# flamegraph.minHeight([size])

Minumum graph height in px. If size is specified, and higher than the provided or calculated height, it will override it.

# flamegraph.cellHeight([size])

Cell height in px. Defaults to 18px if not set. If size is specified, it will set the cell height, otherwise it will return the current cell height.

# flamegraph.minFrameSize([size])

Minimum size of a frame, in px, to be displayed in the flame graph. Defaults to 0px if not set. If size is specified, it will set the minimum frame size, otherwise it will return the current minimum frame size.

# flamegraph.title([title])

Title displayed on top of graph. Defaults to empty if not set. If title is specified, it will set the title displayed on the graph, otherwise it will return the current title.

# flamegraph.tooltip([function])

Sets a tooltip for the flamegraph frames. The tooltip function should implement two methods, .show(d) and .hide(), that will be called when the tooltip should be made visible or hidden respectively. The .show method takes a single argument, which is the flamegraph frame. The d3-flame-graph package includes a simple tooltip function, flamegraph.tooltip.defaultFlamegraphTooltip().

">
<script type="text/javascript" src="d3-flamegraph-tooltip.js">script>
var tip = flamegraph.tooltip.defaultFlamegraphTooltip()
    .html(function(d) { return "name: " + d.data.name + ", value: " + d.data.value; });
flamegraph.tooltip(tip)

The tooltip is compatible with d3-tip. This was the default library until version 2.1.10.

">
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3-tip/0.9.1/d3-tip.min.js">script>
var tip = d3.tip()
  .attr('class', 'd3-flame-graph-tip')
  .html(function(d) { return "name: " + d.data.name + ", value: " + d.data.value; });
flamegraph.tooltip(tip)

# flamegraph.transitionDuration([duration])

Specifies transition duration in milliseconds. The default duration is 750ms. If duration is not specified, returns the current transition duration.

See d3.duration.

# flamegraph.transitionEase([ease])

Specifies the transition easing function. The default easing function is d3.easeCubic.

See d3-ease.

# flamegraph.label([function])

Adds a function that returns a formatted label. Example:

flamegraph.label(function(d) {
    return "name: " + d.name + ", value: " + d.value;
});

# flamegraph.sort([enabled])

Enables/disables sorting of children frames. Defaults to true if not set to sort in ascending order by frame's name. If set to a function, the function takes two frames (a,b) and returns -1 if frame a is less than b, 1 if greater, or 0 if equal. If a value is specified, it will enable/disable sorting, otherwise it will return the current sort configuration.

# flamegraph.inverted([bool])

Invert the flame graph direction. A top-down visualization of the flame graph, also known as icicle plot. Defaults to false if not set. If a value is specified, it will enable/disable the inverted flame graphs direction, otherwise it will return the current inverted configuration.

# flamegraph.computeDelta([bool])

If enabled, computes delta for all nodes. Delta value of each node is a sum of its own value from the getDelta(node) function, plus its children. Defaults to false if not set. If a value is specified, it will enable/disable the delta computation, otherwise it will return the current computeDelta configuration.

# flamegraph.resetZoom()

Resets the zoom so that everything is visible.

# flamegraph.onClick([function])

Adds a function that will be called when the user clicks on a frame. Example:

flamegraph.onClick(function (d) {
    console.info("You clicked on frame "+ d.data.name);
});

If called with no arguments, onClick will return the click handler.

# flamegraph.onHover([function])

Adds a function that will be called when the user hovers on a frame. Example:

flamegraph.onHover(function (d) {
    console.info("You hovered over frame "+ d.data.name);
});

If called with no arguments, onHover will return the hover handler.

# flamegraph.setDetailsElement([element])

Sets the element that should be updated with the focused sample details text. Example:

">
<div id="details">
div>
flamegraph.setDetailsElement(document.getElementById("details"));

If called with no arguments, setDetailsElement will return the current details element.

# flamegraph.setDetailsHandler([function])

Sets the handler function that is called when the details element needs to be updated. The function receives a single paramenter, the details text to be set. Example:

let detailsHandler = function (d) { if (detailsElement) { if (d) { detailsElement.innerHTML = d } else { if (typeof searchDetails === 'function') { searchDetails() } else { detailsElement.innerHTML = '' } } } }

flamegraph.setDetailsHandler(
  function (d) {
    if (detailsElement) {
        if (d) {
            detailsElement.innerHTML = d
        } else {
            detailsElement.innerHTML = ''
        }
    }
  }
);

If not set, setDetailsHandler will default to the above function.

If called with no arguments, setDetailsHandler will reset the details handler function.

# flamegraph.setSearchHandler([function])

Sets the handler function that is called when search results are returned. The function receives a three paramenters, the search results array, the search sample sum, and root value, Example:

let searchHandler = function (searchResults, searchSum, totalValue) { searchDetails = () => { if (detailsElement) { detailsElement.innerHTML = 'search: ' + searchSum + ' of ' + totalValue + ' total samples ( ' + format('.3f')(100 * (searchSum / totalValue), 3) + '%)' } } searchDetails() }

flamegraph.setSearchHandler(
  (searchResults, searchSum, totalValue) => {
    searchDetails = () => { // searchDetails is a global variable
        if (detailsElement) {
            detailsElement.innerHTML = 'search: ' + searchSum + ' of ' + totalValue + ' total samples ( ' + format('.3f')(100 * (searchSum / totalValue), 3) + '%)'
        }
    }
    searchDetails()
  }
);

If not set, setSearchHandler will default to the above function.

If called with no arguments, setSearchHandler will reset the search handler function.

# flamegraph.setColorMapper([function])

Replaces the built-in node color hash function. Function takes two arguments, the node data structure and the original color string for that node. It must return a color string. Example:

// Purple if highlighted, otherwise the original color
flamegraph.setColorMapper(function(d, originalColor) {
    return d.highlight ? "#E600E6" : originalColor;
});

If called with no arguments, setColorMapper will reset the color hash function.

# flamegraph.setColorHue([string])

Sets the flame graph color hue. Options are warm, cold, red, orange, yellow, green and aqua.

If called with no arguments, setColorHue will reset the color hash function.

# flamegraph.setSearchMatch([function])

Replaces the built-in node search match function. Function takes three arguments, the node data structure, the search term and an optional boolean argument to ignore case during search. If the third argument is not provided, the search will be case-sensitive by default. The function must return a boolean. Example:

flamegraph.setSearchMatch(function(d, term, true) {
  // Non-regex implementation of the search function
  return d.data.name.indexOf(term) != 0;
})

If called with no arguments, setSearchMatch will return reset the search match function.

# flamegraph.merge(date)

Merges the current data with the given data.

# flamegraph.update([data])

Updates the current chart. If the data parameters is passed, replaces the current data.

# flamegraph.destroy()

Removes the flamegraph.

All API functions will return the flame graph object if no other behavior is specified in the function details.

Issues

For bugs, questions and discussions please use the GitHub Issues.

Contributing

We love contributions! But in order to avoid total chaos, we have a few guidelines.

If you found a bug, have questions or feature requests, don't hesitate to open an issue.

If you're working on an issue, please comment on it so we can assign you to it.

If you have code to submit, follow the general pull request format. Fork the repo, make your changes, and submit a pull request.

Build

This plugin uses Webpack as build system. It includes a development server with live refresh on any changes. To start it, just execute the serve npm script.

$ git clone https://github.com/spiermar/d3-flame-graph.git
$ cd d3-flame-graph
$ npm install
$ npm run serve

Template

A standalone template with all JavaScript and CSS inlined gets built at dist/templates/d3-flamegraph-base.html. It contains a placeholder /** @flamegraph_params **/ which needs to be replaced with the stacks in the format described in Input Format.

License

Copyright 2018 Martin Spier. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the “License”); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Owner
Martin Spier
Performance Engineer @snowflakedb. Ex-Netflix. Venture Advisor. Investor. Adventurer.
Martin Spier
nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.

nptsne nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation and HSNE modelling. For more detail s

Biomedical Visual Analytics Unit LUMC - TU Delft 29 Jul 05, 2022
A declarative (epi)genomics visualization library for Python

gos is a declarative (epi)genomics visualization library for Python. It is built on top of the Gosling JSON specification, providing a simplified interface for authoring interactive genomic visualiza

Gosling 107 Dec 14, 2022
Monochromatic colorscheme for matplotlib with opinionated sensible default

Monochromatic colorscheme for matplotlib with opinionated sensible default If you need a simple monochromatic colorscheme for your matplotlib figures,

Aria Ghora Prabono 2 May 06, 2022
Mapomatic - Automatic mapping of compiled circuits to low-noise sub-graphs

mapomatic Automatic mapping of compiled circuits to low-noise sub-graphs Overvie

Qiskit Partners 27 Nov 06, 2022
Automatically generate GitHub activity!

Commit Bot Automatically generate GitHub activity! We've all wanted to be the developer that commits every day, but that requires a lot of work. Let's

Ricky 4 Jun 07, 2022
Pebble is a stat's visualization tool, this will provide a skeleton to develop a monitoring tool.

Pebble is a stat's visualization tool, this will provide a skeleton to develop a monitoring tool.

Aravind Kumar G 2 Nov 17, 2021
view cool stats related to your discord account.

DiscoStats cool statistics generated using your discord data. How? DiscoStats is not a service that breaks the Discord Terms of Service or Community G

ibrahim hisham 5 Jun 02, 2022
Automate the case review on legal case documents and find the most critical cases using network analysis

Automation on Legal Court Cases Review This project is to automate the case review on legal case documents and find the most critical cases using netw

Yi Yin 7 Dec 28, 2022
This is simply repo for line drawing rendering using freestyle in Blender.

blender_freestyle_line_drawing This is simply repo for line drawing rendering using freestyle in Blender. how to use blender2935 --background --python

MaxLin 3 Jul 02, 2022
Uniform Manifold Approximation and Projection

UMAP Uniform Manifold Approximation and Projection (UMAP) is a dimension reduction technique that can be used for visualisation similarly to t-SNE, bu

Leland McInnes 6k Jan 08, 2023
Runtime analysis of code with plotting

Runtime analysis of code with plotting A quick comparison among Python, Cython, and the C languages A Programming Assignment regarding the Programming

Cena Ashoori 2 Dec 24, 2021
Schema validation for Xarray objects

xarray-schema Schema validation for Xarray installation This package is in the early stages of development. Install it from source: pip install git+gi

carbonplan 22 Oct 31, 2022
A Python package for caclulations and visualizations in geological sciences.

geo_calcs A Python package for caclulations and visualizations in geological sciences. Free software: MIT license Documentation: https://geo-calcs.rea

Drew Heasman 1 Jul 12, 2022
Visualizing weather changes across the world using third party APIs and Python.

WEATHER FORECASTING ACROSS THE WORLD Overview Python scripts were created to visualize the weather for over 500 cities across the world at varying di

G Johnson 0 Jun 12, 2021
Open-questions - Open questions for Bellingcat technical contributors

Open questions for Bellingcat technical contributors These are difficult, long-term projects that would contribute to open source investigations at Be

Bellingcat 234 Dec 31, 2022
Plot, scatter plots and histograms in the terminal using braille dots

Plot, scatter plots and histograms in the terminal using braille dots, with (almost) no dependancies. Plot with color or make complex figures - similar to a very small sibling to matplotlib. Or use t

Tammo Ippen 207 Dec 30, 2022
An interactive GUI for WhiteboxTools in a Jupyter-based environment

whiteboxgui An interactive GUI for WhiteboxTools in a Jupyter-based environment GitHub repo: https://github.com/giswqs/whiteboxgui Documentation: http

Qiusheng Wu 105 Dec 15, 2022
https://there.oughta.be/a/macro-keyboard

inkkeys Details and instructions can be found on https://there.oughta.be/a/macro-keyboard In contrast to most of my other projects, I decided to put t

Sebastian Staacks 209 Dec 21, 2022
A little word cloud generator in Python

Linux macOS Windows PyPI word_cloud A little word cloud generator in Python. Read more about it on the blog post or the website. The code is tested ag

Andreas Mueller 9.2k Dec 30, 2022
Simple Python interface for Graphviz

Simple Python interface for Graphviz

Sebastian Bank 1.3k Dec 26, 2022