Bokeh tracking and usage
Websites using Bokeh by countrymarket share
2.3%
🇺🇸US7.7%
🇩🇪DE3.2%
🇬🇧GB2.7%
🇫🇷FR2.2%
🇳🇱NL2.2%
🇮🇹IT2.2%
🇮🇩ID2.1%
🇪🇸ESWebsites using Bokeh by industrymarket share · top 6 industries
Photography
Technology & Computing
Movies & TV
Design & Creative
Marketing & Advertising
Software Development
0%7.5%15%23%30%
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We track 1,253 websites using Bokeh, along with their country, traffic, industry and platforms. There are 29 websites using Bokeh in United States.
Filter by country
🇺🇸 United States29 sites
🇩🇪 Germany97 sites
🇬🇧 United Kingdom40 sites
🇫🇷 France34 sites
🇳🇱 Netherlands28 sites
🇮🇹 Italy27 sites
🇮🇩 Indonesia27 sites
🇪🇸 Spain26 sites
🇵🇱 Poland22 sites
🇷🇺 Russian Federation13 sites
🇧🇷 Brazil10 sites
🇸🇪 Sweden10 sites
🇮🇷 Iran, Islamic Republic of10 sites
🇦🇺 Australia9 sites
🇨🇿 Czechia9 sites
🇨🇭 Switzerland9 sites
🇨🇦 Canada9 sites
🇬🇷 Greece7 sites
🇧🇪 Belgium7 sites
🇳🇴 Norway6 sites
🇮🇳 India6 sites
🇷🇴 Romania6 sites
🇿🇦 South Africa5 sites
🇨🇱 Chile5 sites
🇫🇮 Finland4 sites
🇦🇷 Argentina3 sites
🇦🇹 Austria3 sites
🇭🇷 Croatia3 sites
🇻🇳 Viet Nam3 sites
🇩🇰 Denmark3 sites
🇹🇷 Turkey3 sites
🇵🇹 Portugal3 sites
🇨🇳 China3 sites
🇵🇰 Pakistan2 sites
🇨🇴 Colombia2 sites
🇮🇸 Iceland2 sites
🇪🇪 Estonia2 sites
🇳🇿 New Zealand2 sites
🇸🇮 Slovenia2 sites
🇺🇦 Ukraine2 sites
🇯🇵 Japan2 sites
🇰🇿 Kazakhstan1 sites
🇱🇰 Sri Lanka1 sites
🇮🇪 Ireland1 sites
🇹🇼 Taiwan, Province of China1 sites
🇱🇹 Lithuania1 sites
🇲🇽 Mexico1 sites
🇦🇽 Åland Islands1 sites
🇭🇺 Hungary1 sites
🇵🇬 Papua New Guinea1 sites
🇬🇸 South Georgia and the South Sandwich Islands1 sites
🇻🇪 Venezuela, Bolivarian Republic of1 sites
🇦🇪 United Arab Emirates1 sites
🇯🇴 Jordan1 sites
🇵🇼 Palau1 sites
🇦🇬 Antigua and Barbuda1 sites
🇸🇰 Slovakia1 sites
🇰🇼 Kuwait1 sites
🇳🇬 Nigeria1 sites
🇮🇲 Isle of Man1 sites
🇲🇹 Malta1 sites
🇧🇬 Bulgaria1 sites
About Bokeh
Bokeh is an open-source visualization library that developers and scientists use to build interactive plots, dashboards, and data applications, including in Jupyter notebooks.
Category
Official website
bokeh.org↗
Websites using Bokeh
showing 25 of 1,253| Website | Country | Traffic | Industry |
|---|---|---|---|
| 🇺🇸US | Top 500K | Technology & Computing | |
| 🇬🇧GB | - | Design & Creative | |
| 🇪🇸ES | - | Environment & Sustainability | |
| - | - | Society | |
| 🇸🇪SE | - | Photography | |
| 🇨🇱CL | - | Architecture & Engineering | |
| 🇳🇿NZ | - | Photography | |
| 🇮🇹IT | - | - | |
| 🇩🇪DE | - | - | |
| 🇺🇸US | - | Shopping | |
| 🇬🇧GB | - | Insurance | |
| - | - | Business & Finance | |
| 🇺🇸US | - | Society | |
| 🇬🇧GB | - | Software Development | |
| 🇮🇹IT | - | Movies & TV | |
| 🇬🇧GB | - | Food & Drink | |
| 🇵🇱PL | - | Marketing & Advertising | |
| 🇧🇷BR | - | Technology & Computing | |
| 🇲🇹MT | - | Real Estate | |
| 🇫🇷FR | - | Photography | |
| 🇨🇦CA | - | Shopping | |
| 🇺🇸US | - | - | |
| - | - | - | |
| - | - | - | |
| 🇨🇦CA | - | - |
Showing 25 of 1,253 websitesView detailed list →
Frequently asked
What is Bokeh in data visualization?›
Bokeh is an interactive data visualization library in Python that provides versatile, elegant, and high-performance graphics tools. It enables users to create web-based plots with simple or complex interactions and dashboards by generating HTML, CSS, and JavaScript output. Bokeh is suitable for constructing aesthetic visualizations to display large datasets efficiently.
Can Bokeh be integrated with other Python libraries?›
Yes, Bokeh can be integrated with multiple popular Python libraries, including NumPy, Pandas, Datashader, HoloViews, and others. This integration allows users to create more sophisticated visualizations and take full advantage of the Python data science ecosystem.
How does Bokeh compare to other visualization libraries like Matplotlib and Plotly?›
Bokeh differs from other visualization libraries, such as Matplotlib and Plotly, in its focus on providing robust and high-performance interactive plots in a web browser. While Matplotlib excels in creating static images, and Plotly specializes in online interactive visualizations, Bokeh balances these aspects by offering versatile visualization options with interactive features.
Is it possible to create a stand-alone HTML file with my Bokeh visualization?›
Yes, Bokeh allows users to create stand-alone HTML files containing their visualizations. By using the output_file() function along with the save() or show() function, the plots can be either saved to an HTML file or displayed in a new browser window as a self-contained file. This feature enables easy sharing and embedding of Bokeh plots.
Can I customize the appearance and style of my Bokeh plots?›
Absolutely! Bokeh provides abundant options for users to customize their visualizations, including modifying the plot title, axes labels, color palettes, background color, and gridlines. Additionally, the library supports the integration of custom CSS styling, allowing even more control over the appearance of the plots.
