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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
CoPlot Version 6.45 is a highly adaptable software tool designed for generating top-notch 2D and 3D scientific visualizations, which include data plots, equations, maps, and various technical illustrations. The program's development is centered on a singular objective: to create a resource that empowers scientists and engineers to achieve their precise graphical needs with ease. Additionally, CoPlot integrates CoStat for effective data management and statistical analysis. Users can produce detailed technical illustrations using a wide array of drawing tools provided by CoPlot. Its capabilities make it suitable for crafting genetic maps, field maps, flow charts, apparatus schematics, circuit diagrams, chemical structures, and much more. The program supports drawing objects and graphs with the ability to incorporate HTML-like text formatting tags and over 1,000 special characters, enhancing the visual appeal of the scientific outputs. With CoPlot, users can create outstanding scientific graphs and maps, utilizing seven fundamental graph types, more than 40 plotting methods for data, 18 different ways to represent equations, flexible attributes for customization, asymmetric and horizontal error bars, and 12 distinct axis types, ensuring a comprehensive suite for all graphical needs. This extensive range of options makes CoPlot a valuable asset for anyone looking to present data visually in a professional and effective manner.
API Access
Has API
API Access
Has API
Integrations
Google Maps
JavaScript
Python
Pricing Details
Free
Free Trial
Free Version
Pricing Details
$280 one-time payment
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Bokeh
Website
bokeh.org
Vendor Details
Company Name
CoHort Software
Website
www.cohortsoftware.com/coplot.html
Product Features
Product Features
Statistical Analysis
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization
