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
PLOT simplifies the process of managing deliveries, jobsite logistics, and material lead times with ease of use.
Currently, communication on job sites relies heavily on phone calls, text messages, and emails, but PLOT aims to revolutionize this method. Whether you're organizing your delivery schedule on a whiteboard, a spreadsheet, or even a napkin, PLOT streamlines the process for you. It empowers Trade Partners to request designated delivery windows, which are then verified against General Contractor regulations and existing bookings to avoid conflicts. This innovative tool ensures that Trade Partners only see available time slots where both unloading locations and necessary equipment can be secured. Additionally, PLOT features a delivery-specific Logistics page tailored for Suppliers, guiding them to the unloading area while facilitating communication with the project team. Should there be any changes in the timing or location of a delivery, Suppliers receive instant notifications. Furthermore, reminders can be dispatched to confirm the scheduled date and precise latitude/longitude for drop-off, enhancing overall efficiency in delivery operations. By integrating these features, PLOT not only saves time but also reduces the likelihood of costly errors, making it an invaluable asset for construction projects.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Google Maps
No
JavaScript
No
Python
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
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
Yes
iPad App
Yes
Android App
Yes
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
PLOT Jobsite Coordination
Founded
2021
Country
United States
Website
www.getplot.com