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
Open-source demos hosted on Dash Gallery

Dash Sample Apps This repository hosts the code for over 100 open-source Dash apps written in Python or R. They can serve as a starting point for your

Plotly 2.7k Jan 07, 2023
A collection of 100 Deep Learning images and visualizations

A collection of Deep Learning images and visualizations. The project has been developed by the AI Summer team and currently contains almost 100 images.

AI Summer 65 Sep 12, 2022
A blender import/export system for Defold

defold-blender-export A Blender export system for the Defold game engine. Setup Notes There are no exhaustive documents for this tool yet. Its just no

David Lannan 27 Dec 30, 2022
Joyplots in Python with matplotlib & pandas :chart_with_upwards_trend:

JoyPy JoyPy is a one-function Python package based on matplotlib + pandas with a single purpose: drawing joyplots (a.k.a. ridgeline plots). The code f

Leonardo Taccari 462 Jan 02, 2023
The windML framework provides an easy-to-use access to wind data sources within the Python world, building upon numpy, scipy, sklearn, and matplotlib. Renewable Wind Energy, Forecasting, Prediction

windml Build status : The importance of wind in smart grids with a large number of renewable energy resources is increasing. With the growing infrastr

Computational Intelligence Group 125 Dec 24, 2022
Altair extension for saving charts in a variety of formats.

Altair Saver This packge provides extensions to Altair for saving charts to a variety of output types. Supported output formats are: .json/.vl.json: V

Altair 85 Dec 09, 2022
matplotlib: plotting with Python

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Check out our home page for more inform

Matplotlib Developers 16.7k Jan 08, 2023
An interactive UMAP visualization of the MNIST data set.

Code for an interactive UMAP visualization of the MNIST data set. Demo at https://grantcuster.github.io/umap-explorer/. You can read more about the de

grant 70 Dec 27, 2022
NumPy and Pandas interface to Big Data

Blaze translates a subset of modified NumPy and Pandas-like syntax to databases and other computing systems. Blaze allows Python users a familiar inte

Blaze 3.1k Jan 01, 2023
Fast visualization of radar_scenes based on oleschum/radar_scenes

RadarScenes Tools About This python package provides fast visualization for the RadarScenes dataset. The Open GL based visualizer is smoother than ole

Henrik Söderlund 2 Dec 09, 2021
Debugging, monitoring and visualization for Python Machine Learning and Data Science

Welcome to TensorWatch TensorWatch is a debugging and visualization tool designed for data science, deep learning and reinforcement learning from Micr

Microsoft 3.3k Dec 27, 2022
Area-weighted venn-diagrams for Python/matplotlib

Venn diagram plotting routines for Python/Matplotlib Routines for plotting area-weighted two- and three-circle venn diagrams. Installation The simples

Konstantin Tretyakov 400 Dec 31, 2022
This is a Cross-Platform Plot Manager for Chia Plotting that is simple, easy-to-use, and reliable.

Swar's Chia Plot Manager A plot manager for Chia plotting: https://www.chia.net/ Development Version: v0.0.1 This is a cross-platform Chia Plot Manage

Swar Patel 1.3k Dec 13, 2022
Farhad Davaripour, Ph.D. 1 Jan 05, 2022
Lime: Explaining the predictions of any machine learning classifier

lime This project is about explaining what machine learning classifiers (or models) are doing. At the moment, we support explaining individual predict

Marco Tulio Correia Ribeiro 10.3k Dec 29, 2022
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
Pglive - Pglive package adds support for thread-safe live plotting to pyqtgraph

Live pyqtgraph plot Pglive package adds support for thread-safe live plotting to

Martin Domaracký 15 Dec 10, 2022
This is a sorting visualizer made with Tkinter.

Sorting-Visualizer This is a sorting visualizer made with Tkinter. Make sure you've installed tkinter in your system to use this visualizer pip instal

Vishal Choubey 7 Jul 06, 2022
Python implementation of the Density Line Chart by Moritz & Fisher.

PyDLC - Density Line Charts with Python Python implementation of the Density Line Chart (Moritz & Fisher, 2018) to visualize large collections of time

Charles L. Bérubé 10 Jan 06, 2023
The repository is my code for various types of data visualization cases based on the Matplotlib library.

ScienceGallery The repository is my code for various types of data visualization cases based on the Matplotlib library. It summarizes the code and cas

Warrick Xu 2 Apr 20, 2022