--- title: Bokeh Reviews meta_title: 'Bokeh Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 40 reviews by the users' company size, role or industry to find out how Bokeh works for a business like yours. aggregate_rating: rating_value: 4.4 review_count: 40 scale: '5' date_modified: '2026-08-09' parent_category: name: Business Intelligence url: https://www.g2.com/categories/business-intelligence --- # Bokeh Reviews **Vendor:** Continuum Analytics **Category:** [Embedded Business Intelligence Software](https://www.g2.com/categories/embedded-business-intelligence) **Average Rating:** 4.4/5.0 **Total Reviews:** 40 ## About Bokeh Bokeh is a Python based interactive visualization library. ## Bokeh Reviews ### 1. Data visualisation made easy **Rating:** 4.0/5.0 stars **Reviewed by:** Arun Kumar S. | Founder, Small-Business (50 or fewer emp.) **Reviewed Date:** June 04, 2023 **What do you like best about Bokeh?** As a company we have large amount of data to render and categorize according to the needs, but with Bokeh, all this made ease just because of its visual tools that we can use for identifying common trends and the lags we're going along with. **What do you dislike about Bokeh?** Sometimes it's hard to understand different terms if totally new person gonna use that. **What problems is Bokeh solving and how is that benefiting you?** Data is huge when it comes to any company/organisation, but with Bokeh we'll have identifying common areas and improvements from the data can be easily analysed. ### 2. User friendly Library **Rating:** 4.0/5.0 stars **Reviewed by:** Praveen K. | Data Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** May 18, 2023 **What do you like best about Bokeh?** There are several pre-made interactive plots. The display of plots are in high quality. We can generate the plots with one line of code compared to matplot library. We can also customize the the plot according to the requirement.It provides elegant, concise construction of versatile graphics, and affords high-performance interactivity over large or streaming datasets. **What do you dislike about Bokeh?** The visualization will look unnatural when used poorly. We need to spend little more time in understanding the documentations. Also if any error comes up, it would be difficult to debug the issue. **What problems is Bokeh solving and how is that benefiting you?** I have used bokeh while doing the EDA process for the project in my company. I imported the library and run various analysis (unitarian, multivariate etc.,), using scatter plots, bar plots and all. It was for a statistical analysis. ### 3. Visualization with bokeh **Rating:** 4.0/5.0 stars **Reviewed by:** PREM R. | Data Scientist, Mid-Market (51-1000 emp.) **Reviewed Date:** May 26, 2023 **What do you like best about Bokeh?** Bokeh in-detail elegant visualize feature providing variety to a analyst. Comparing to matplotlib , bokeh is good choice. **What do you dislike about Bokeh?** Not default in Spyder . But Jupiter also good choice **What problems is Bokeh solving and how is that benefiting you?** 3d graph and their visualize graph are more efficient ecosystem compare with matplolib ### 4. Great for graph visualizations **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** April 27, 2023 **What do you like best about Bokeh?** It is a powerful tool that allows users to create stunning graphics and charts for data analysis and presentation. **What do you dislike about Bokeh?** Steep Learning Curve and very limited customization. While Bokeh provides a wide range of visualization options, it may not provide as much customization as other libraries. Users may need to rely on other tools or libraries to achieve specific visual effects. **What problems is Bokeh solving and how is that benefiting you?** i used to create graphs using it. I was earlier using pyplot but bokeh was much bettwe ### 5. Great python library for interactive visualizations **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Education Management | Small-Business (50 or fewer emp.) **Reviewed Date:** May 22, 2023 **What do you like best about Bokeh?** Lots of already supported graphs and graph types **What do you dislike about Bokeh?** Customizing interactivity in bokeh for not-widely used plot types could be difficult **What problems is Bokeh solving and how is that benefiting you?** Creating beautiful web and interactive graphs using Python ### 6. Good but needs a higher level api too! **Rating:** 3.5/5.0 stars **Reviewed by:** Syed Hamza A. | Data Scientist (Remote) , Mid-Market (51-1000 emp.) **Reviewed Date:** November 28, 2020 **What do you like best about Bokeh?** Interactivity, Layer-wise plot building & native ability to export. I also like that how I do not need any software and visualizations just pop open in a browser without need of a software and a erso with any desktop PC, mac or Linux can see and interact with them in exactly the same manner. **What do you dislike about Bokeh?** Bokeh is a bit more work as compared to other interactive libraries e.g. Plotly. See my this answer for building a heatmap: https://stackoverflow.com/a/65014498/7212929. The same plot requires much more effort as compared to plotly express. I like layer-wise plot building but there should be a higher level api too which may provide all this functionality by abstraction. It could still be passed as an argument though like maybe hover = True and for details and more control current architecture may keep evolving. **Recommendations to others considering Bokeh:** A steep learning curve but so worth it if you learn it! **What problems is Bokeh solving and how is that benefiting you?** i often share interactive business visualizations with my team as html and they can enjoy interactivity and everything without needing any particular tool such as Tableau or PowerBI. Moreover it comes in handy when I wanna share a Data Studio visualization with them without providing them access to Data Studio Report, I just replicate functionality on a bokeh plot and its easy with filters and everything and not such a hassle as I am already doing most of my analytics on python. However it would be much more easier with a higher level api as I mentioned. ### 7. fancier matplotlib **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Banking | Enterprise (> 1000 emp.) **Reviewed Date:** December 06, 2020 **What do you like best about Bokeh?** Bokeh allows a bunch of fancy and unique kinds of visualizations that are not available in other tools. It's possible to easily produce outstanding and interactive visualizations. It brings a lot of value to my analyses and often helps me to grasp a different understanding of my data. **What do you dislike about Bokeh?** I have to say that I am using matplotlib more often and it's only when I know that mattplotlib isn't doing what I want that I look at Bokeh. As I am far from being an expert, I am not fully aware of what Bokeh can offer. Most of the time I simply reuse the code I find in the gallery or in examples found on the web... I wish I could find a greater variety of examples in the gallery. **Recommendations to others considering Bokeh:** Start with the examples available in the gallery. **What problems is Bokeh solving and how is that benefiting you?** As I said I use matplotlib pretty intensively and I mostly use Bokeh when matplotlib reaches its limit. Bokeh offers a different kind of visualizations and it definitely helps to better understand the data I study. ### 8. Bokeh was fast and ergonomic to use **Rating:** 4.0/5.0 stars **Reviewed by:** Anwar B. | Data and Cloud Consultant, Enterprise (> 1000 emp.) **Reviewed Date:** December 22, 2020 **What do you like best about Bokeh?** I like how interactive the plots and figures produced by bokeh **What do you dislike about Bokeh?** I dislike the fact that so many fields need to be field to produce a simple plot **What problems is Bokeh solving and how is that benefiting you?** I used Bokeh to plot kpi figures ### 9. Great visuals and easy setup **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Biotechnology | Small-Business (50 or fewer emp.) **Reviewed Date:** December 18, 2020 **What do you like best about Bokeh?** The language is easy to comprehend and easy to customize plots to accurately display the data **What do you dislike about Bokeh?** A little difficult to plot at scale with billions of data points or interacting with external data sources without significant setup **Recommendations to others considering Bokeh:** For quick plotting and pretty visuals it is a great package **What problems is Bokeh solving and how is that benefiting you?** How to plot across numerous databases. Having a streamlined code base with example setups helped get started quickly ### 10. Bokeh is a convenient tool and really beginner friendly **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Paper & Forest Products | Enterprise (> 1000 emp.) **Reviewed Date:** December 30, 2020 **What do you like best about Bokeh?** The work flow, running python code, monitor my model in the website **What do you dislike about Bokeh?** the GUI is difficult to design and revise **What problems is Bokeh solving and how is that benefiting you?** I build a statistical modeling in python code, then made a dashboard with Bokeh to show the end user ### 11. Powerful visualizations in a simple and clean way. **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Apparel & Fashion | Small-Business (50 or fewer emp.) **Reviewed Date:** December 20, 2020 **What do you like best about Bokeh?** The ease of generating visualizations in a simple and abstract way for me. **What do you dislike about Bokeh?** Sometimes you have some rendering glitches on notebooks from cloud services like Azure or Databricks. **What problems is Bokeh solving and how is that benefiting you?** Visualizations on maps to better understand the behavior of the data in the regions. ### 12. Bokeh graph for different functionality **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Oil & Energy | Small-Business (50 or fewer emp.) **Reviewed Date:** November 28, 2020 **What do you like best about Bokeh?** I am using bokeh for plotting graph for oil and gas csv data and use for cropping and zooming graph **What do you dislike about Bokeh?** Dislike about bokeh graph not extend from scratch same as d3 js **Recommendations to others considering Bokeh:** Nothing recommendation **What problems is Bokeh solving and how is that benefiting you?** Time series type graph visualization andrealize it will very helpful for different data. ### 13. Overall good experience, documentation was easy to follow. **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Education Management | Small-Business (50 or fewer emp.) **Reviewed Date:** December 04, 2020 **What do you like best about Bokeh?** Very easy to plug in live streamed plots. **What do you dislike about Bokeh?** hard to stress test specially with big data **What problems is Bokeh solving and how is that benefiting you?** Building a live streamed dashboard, which gets used by dozens of people at any time. ### 14. great **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Renewables & Environment | Small-Business (50 or fewer emp.) **Reviewed Date:** December 19, 2020 **What do you like best about Bokeh?** easy implementation of interactive plots **What do you dislike about Bokeh?** cumbersome integration in jupyter notebooks **What problems is Bokeh solving and how is that benefiting you?** exploratory data analysis and dashboard creation - [View Bokeh pricing details and edition comparison](https://www.g2.com/products/bokeh/reviews?filters%5Bnps_score%5D%5B%5D=4§ion=pricing&secure%5Bexpires_at%5D=2026-08-13+13%3A21%3A23+-0500&secure%5Bsession_id%5D=d09b7701-8bf5-46a5-bb7a-8b492a36ed87&secure%5Btoken%5D=527b2b97027d6a0d897e572d46fb6825feb29a12fc198dc79c96ae030a323bea&format=llm_user) ## Bokeh Features **Reports** - Reports Interface - Steps to Answer - Graphs and Charts - Score Cards - Dashboards - Customizable Reports - Marketing Reports - Sales Reports - Activity Dashboard - Interactive Reports - Customizable Reports - Customizable Reports - Activity Dashboard - Customizable Dashboard **Self Service ** - Calculated Fields - Data Column Filtering - Data Discovery - Search - Collaboration / Workflow - Automodeling - Natural Language Search - Visual Discovery - Data Blending - Data Blending **Advanced Analytics** - Predictive Analytics - Data Visualization - Big Data Services - Real-Time Analytics - Reporting/Analytics - Real-Time Analytics - Reporting/Analytics - Visual Analytics **Building Reports** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs - Real-Time Data - Real-Time Data - Third-Party Integrations - Third-Party Integrations **Platform** - Mobile User Support - Customization - User, Role, and Access Management - Internationalization - Sandbox / Test Environments - Performance and Reliability - Breadth of Partner Applications - Mobile Access - Metadata Management **Additional Functionality** - Generative AI - AI Copilot - Access Controls/Permissions - Mobile Reporting - Data Mapping - Multiple Data Sources - Forecasting - Customizable Branding - Charting - Customization - Role-Based Permissions - Real-Time Analytics - Workflow Management - Collaboration Tools - Ad hoc Query - Data Extraction - Data Synchronization - Application Development - Real-Time Reporting - Reporting & Statistics - Geographic Maps - Widgets - SSL Security - Reporting/Analytics - Self-service Analytics - Ad hoc Analysis - Data Capture and Transfer - Integration into Third Party Applications - Ad hoc Reporting - Visual Workflow Management - Visual Analytics - Single Sign On - Trend Analysis - Predictive Analytics - Data Visualization - Data Connectors - Benchmarking - Alerts/Notifications - Streaming Analytics - Mobile Access - Drag & Drop - Dashboard Creation **Additional Functionality** - Customizable Branding - Natural Language Processing - Data Extraction - AI Copilot - Ad hoc Reporting - Real-Time Reporting - Publishing/Sharing - Collaboration Tools - Strategic Planning - Self Service Data Preparation - Trend Analysis - Text Analysis - Real-Time Monitoring - Data Synchronization - Widgets - Benchmarking - Performance Metrics - Data Mapping - Generative AI - Trend/Problem Indicators - Customizable Templates - Access Controls/Permissions - Data Import/Export - Profitability Analysis - OLAP - Alerts/Notifications - Search/Filter - Drag & Drop - Data Connectors - Multiple Data Sources - Key Performance Indicators - Dashboard Creation - Role-Based Permissions - Data Mining - Forecasting - Ad hoc Query ## Top Bokeh Alternatives - [Microsoft Power BI Embedded](https://www.g2.com/products/microsoft-power-bi-embedded/reviews) - 4.4/5.0 (106 reviews) - [Google Chart Tools](https://www.g2.com/products/google-chart-tools/reviews) - 4.2/5.0 (499 reviews) - [Tableau](https://www.g2.com/products/tableau/reviews) - 4.4/5.0 (3,681 reviews)