Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Bokeh simplifies the creation of standard visualizations while also accommodating unique or specialized scenarios. It allows users to publish plots, dashboards, and applications seamlessly on web pages or within Jupyter notebooks. The Python ecosystem boasts a remarkable collection of robust analytical libraries such as NumPy, Scipy, Pandas, Dask, Scikit-Learn, and OpenCV. With its extensive selection of widgets, plotting tools, and user interface events that can initiate genuine Python callbacks, the Bokeh server serves as a vital link, enabling the integration of these libraries into dynamic, interactive visualizations accessible via the browser. Additionally, Microscopium, a project supported by researchers at Monash University, empowers scientists to uncover new functions of genes or drugs through the exploration of extensive image datasets facilitated by Bokeh’s interactive capabilities. Another useful tool, Panel, which is developed by Anaconda, enhances data presentation by leveraging the Bokeh server. It streamlines the creation of custom interactive web applications and dashboards by linking user-defined widgets to a variety of elements, including plots, images, tables, and textual information, thus broadening the scope of data interaction possibilities. This combination of tools fosters a rich environment for data analysis and visualization, making it easier for researchers and developers to share their insights.
Description
Matplotlib serves as a versatile library for generating static, animated, and interactive visual representations in Python. It simplifies the creation of straightforward plots while also enabling the execution of more complex visualizations. Numerous third-party extensions enhance Matplotlib's capabilities, featuring various advanced plotting interfaces such as Seaborn, HoloViews, and ggplot, along with tools for projections and mapping like Cartopy. This extensive ecosystem allows users to tailor their visualizations to meet specific needs and preferences.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Python
Yes
Comet LLM
No
Dash
No
Google Maps
Yes
JavaScript
Yes
Kedro
No
MLJAR Studio
No
PaizaCloud
No
Thunder Compute
No
Train in Data
No
Integrations
Python
Yes
Comet LLM
Yes
Dash
Yes
Google Maps
No
JavaScript
No
Kedro
Yes
MLJAR Studio
Yes
PaizaCloud
Yes
Thunder Compute
Yes
Train in Data
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Bokeh
Website
bokeh.org
Vendor Details
Company Name
Matplotlib
Website
matplotlib.org
Product Features
Product Features
Data Visualization
Analytics
No
Content Management
No
Dashboard Creation
No
Filtered Views
No
OLAP
No
Relational Display
No
Simulation Models
No
Visual Discovery
No