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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Google Maps
JavaScript
Python

Integrations

Google Maps
JavaScript
Python

Pricing Details

Free
Free Trial
Free Version

Pricing Details

No price information available.
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

PLOT Jobsite Coordination

Founded

2021

Country

United States

Website

www.getplot.com

Product Features

Product Features

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