Bokeh tracking and usage
Websites using Bokeh by countrymarket share
1%
🇺🇸US7.9%
🇩🇪DE2.8%
🇬🇧GB2.3%
🇮🇩ID2.2%
🇳🇱NL2.2%
🇫🇷FR1.9%
🇮🇹IT1.6%
🇵🇱PLWebsites using Bokeh by industrymarket share · top 6 industries
Photography
Technology & Computing
Movies & TV
Software Development
Education
Society
0%7.5%15%23%30%
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We track 1,080 websites using Bokeh, along with their country, traffic, industry and platforms. There are 11 websites using Bokeh in United States.
Filter by country
🇺🇸 United States11 sites
🇩🇪 Germany85 sites
🇬🇧 United Kingdom30 sites
🇮🇩 Indonesia25 sites
🇳🇱 Netherlands24 sites
🇫🇷 France24 sites
🇮🇹 Italy21 sites
🇵🇱 Poland17 sites
🇪🇸 Spain15 sites
🇷🇺 Russian Federation13 sites
🇸🇪 Sweden10 sites
🇧🇷 Brazil9 sites
🇨🇭 Switzerland9 sites
🇮🇷 Iran, Islamic Republic of8 sites
🇨🇿 Czechia8 sites
🇨🇦 Canada7 sites
🇬🇷 Greece6 sites
🇧🇪 Belgium6 sites
🇨🇱 Chile5 sites
🇿🇦 South Africa4 sites
🇷🇴 Romania4 sites
🇦🇺 Australia4 sites
🇳🇴 Norway4 sites
🇫🇮 Finland3 sites
🇻🇳 Viet Nam3 sites
🇩🇰 Denmark3 sites
🇭🇷 Croatia3 sites
🇵🇹 Portugal2 sites
🇪🇪 Estonia2 sites
🇮🇸 Iceland2 sites
🇦🇷 Argentina2 sites
🇦🇹 Austria2 sites
🇺🇦 Ukraine2 sites
🇮🇳 India2 sites
🇯🇵 Japan2 sites
🇰🇿 Kazakhstan1 sites
🇮🇪 Ireland1 sites
🇱🇹 Lithuania1 sites
🇲🇽 Mexico1 sites
🇦🇽 Åland Islands1 sites
🇹🇼 Taiwan, Province of China1 sites
🇵🇬 Papua New Guinea1 sites
🇱🇰 Sri Lanka1 sites
🇸🇦 Saudi Arabia1 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
🇳🇿 New Zealand1 sites
🇳🇬 Nigeria1 sites
🇮🇲 Isle of Man1 sites
🇸🇮 Slovenia1 sites
🇲🇹 Malta1 sites
🇨🇳 China1 sites
🇰🇼 Kuwait1 sites
🇹🇷 Turkey1 sites
🇨🇴 Colombia0 sites
🇭🇺 Hungary0 sites
🇧🇬 Bulgaria0 sites
🇵🇰 Pakistan0 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.
Categories
Official website
bokeh.org↗
Websites using Bokeh
showing 25 of 1,080| 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 1,080 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.
