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
Python code for solving 3D structural problems using the finite element method

3DFEM Python 3D finite element code This python code allows for solving 3D structural problems using the finite element method. New features will be a

Rémi Capillon 6 Sep 29, 2022
Keir&'s Visualizing Data on Life Expectancy

Keir's Visualizing Data on Life Expectancy Below is information on life expectancy in the United States from 1900-2017. You will also find information

9 Jun 06, 2022
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
Create Badges with stats of Scratch User, Project and Studio. Use those badges in Github readmes, etc.

Scratch-Stats-Badge Create customized Badges with stats of Scratch User, Studio or Project. Use those badges in Github readmes, etc. Examples Document

Siddhesh Chavan 5 Aug 28, 2022
A workshop on data visualization in Python with notebooks and exercises for following along.

Beyond the Basics: Data Visualization in Python The human brain excels at finding patterns in visual representations, which is why data visualizations

Stefanie Molin 162 Dec 05, 2022
Process dataframe in a easily way.

Popanda Written by Shengxuan Wang at OSU. Used for processing dataframe, especially for machine learning. The name is from "Po" in the movie Kung Fu P

ShawnWang 1 Dec 24, 2021
3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)

PyVista Deployment Build Status Metrics Citation License Community 3D plotting and mesh analysis through a streamlined interface for the Visualization

PyVista 1.6k Jan 08, 2023
A little logger for machine learning research

Blinker Blinker provides a fast dispatching system that allows any number of interested parties to subscribe to events, or "signals". Signal receivers

Reinforcement Learning Working Group 27 Dec 03, 2022
ScisorWiz: Differential Isoform Visualizer for Long-Read RNA Sequencing Data

ScisorWiz: Vizualizer for Differential Isoform Expression README ScisorWiz is a linux-based R-package for visualizing differential isoform expression

Alexander Stein 6 Oct 04, 2022
Graphical visualizer for spectralyze by Lauchmelder23

spectralyze visualizer Graphical visualizer for spectralyze by Lauchmelder23 Install Install matplotlib and ffmpeg. Put ffmpeg.exe in same folder as v

Matthew 1 Dec 21, 2021
Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning.

30-Days-of-ML-Kaggle 🔥 About the Hands On Program 💻 Machine learning beginner → Kaggle competitor in 30 days. Non-coders welcome The program starts

Roja Achary 145 Jan 01, 2023
Insert SVGs into matplotlib

Insert SVGs into matplotlib

Andrew White 35 Dec 29, 2022
A python script to visualise explain plans as a graph using graphviz

README Needs to be improved Prerequisites Need to have graphiz installed on the machine. Refer to https://graphviz.readthedocs.io/en/stable/manual.htm

Edward Mallia 1 Sep 28, 2021
Moscow DEG 2021 elections plots

Построение графиков на основе публичных данных о ДЭГ в Москве в 2021г. Описание Скрипты в данном репозитории позволяют собственноручно построить графи

9 Jul 15, 2022
Visualization Library

CamViz Overview // Installation // Demos // License Overview CamViz is a visualization library developed by the TRI-ML team with the goal of providing

Toyota Research Institute - Machine Learning 67 Nov 24, 2022
The official colors of the FAU as matplotlib/seaborn colormaps

FAU - Colors The official colors of Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) as matplotlib / seaborn colormaps. We support the old colo

Machine Learning and Data Analytics Lab FAU 9 Sep 05, 2022
A Python toolbox for gaining geometric insights into high-dimensional data

"To deal with hyper-planes in a 14 dimensional space, visualize a 3D space and say 'fourteen' very loudly. Everyone does it." - Geoff Hinton Overview

Contextual Dynamics Laboratory 1.8k Dec 29, 2022
trade bot connected to binance API/ websocket.,, include dashboard in plotly dash to visualize trades and balances

Crypto trade bot 1. What it is Trading bot connected to Binance API. This project made for fun. So ... Do not use to trade live before you have backte

G 3 Oct 07, 2022
🎨 Python Echarts Plotting Library

pyecharts Python ❤️ ECharts = pyecharts English README 📣 简介 Apache ECharts (incubating) 是一个由百度开源的数据可视化,凭借着良好的交互性,精巧的图表设计,得到了众多开发者的认可。而 Python 是一门富有表达

pyecharts 13.1k Jan 03, 2023
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