StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Business Tools
  3. UI Components
  4. Charting Libraries
  5. Bokeh vs Victory

Bokeh vs Victory

OverviewComparisonAlternatives

Overview

Bokeh
Bokeh
Stacks95
Followers183
Votes12
GitHub Stars20.2K
Forks4.2K
Victory
Victory
Stacks44
Followers83
Votes0
GitHub Stars11.2K
Forks537

Bokeh vs Victory: What are the differences?

Developers describe Bokeh as "*An interactive visualization library *". It is an interactive visualization library that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of versatile graphics, and to extend this capability with high-performance interactivity over very large or streaming datasets. It can help anyone who would like to quickly and easily create interactive plots, dashboards, and data applications. On the other hand, Victory is detailed as "ReactJS library for building interactive data visualizations". A collection of composable React components for building interactive data visualizations.

Bokeh and Victory belong to "Charting Libraries" category of the tech stack.

Victory is an open source tool with 7.33K GitHub stars and 311 GitHub forks. Here's a link to Victory's open source repository on GitHub.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Bokeh
Bokeh
Victory
Victory

Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords high-performance interactivity over large or streaming datasets.

A collection of composable React components for building interactive data visualizations.

interactive visualization library ; versatile graphics ; open source; https://github.com/bokeh/bokeh
Robust; Flexible; Native
Statistics
GitHub Stars
20.2K
GitHub Stars
11.2K
GitHub Forks
4.2K
GitHub Forks
537
Stacks
95
Stacks
44
Followers
183
Followers
83
Votes
12
Votes
0
Pros & Cons
Pros
  • 12
    Beautiful Interactive charts in seconds
No community feedback yet
Integrations
Bootstrap
Bootstrap
Flask
Flask
NGINX
NGINX
React
React
Django
Django
Python
Python
Jupyter
Jupyter
Tornado
Tornado
Streamlit
Streamlit
React
React

What are some alternatives to Bokeh, Victory?

D3.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.

Highcharts

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.

Plotly.js

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.

Chart.js

Chart.js

Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.

Recharts

Recharts

Quickly build your charts with decoupled, reusable React components. Built on top of SVG elements with a lightweight dependency on D3 submodules.

ECharts

ECharts

It is an open source visualization library implemented in JavaScript, runs smoothly on PCs and mobile devices, and is compatible with most current browsers.

ZingChart

ZingChart

The most feature-rich, fully customizable JavaScript charting library available used by start-ups and the Fortune 100 alike.

amCharts

amCharts

amCharts is an advanced charting library that will suit any data visualization need. Our charting solution include Column, Bar, Line, Area, Step, Step without risers, Smoothed line, Candlestick, OHLC, Pie/Donut, Radar/ Polar, XY/Scatter/Bubble, Bullet, Funnel/Pyramid charts as well as Gauges.

CanvasJS

CanvasJS

Lightweight, Beautiful & Responsive Charts that make your dashboards fly even with millions of data points! Self-Hosted, Secure & Scalable charts that render across devices.

AnyChart

AnyChart

AnyChart is a flexible JavaScript (HTML5) based solution that allows you to create interactive and great looking charts. It is a cross-browser and cross-platform charting solution intended for everybody who deals with creation of dashboard, reporting, analytics, statistical, financial or any other data visualization solutions.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase