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Description
Autoplot is a comprehensive workspace designed for macOS that integrates the processes of scientific data import, analysis, visualization, annotation, and publishing, eliminating the need for the repetitive copy-and-paste tasks often necessary between different applications like chatbots, terminal interfaces, and image editing software. It allows users to conveniently import files from local sources or via SFTP, specify delimiters, headers, and encoding formats, combine multiple files into a single project, and utilize Python scripts written by an assistant for various tasks such as filtering, splicing, or creating derived variables. Among its features, pre-approved analysis cards include a range of statistical methods such as CCDF, AUC, log-binned distributions, power-law and truncated fits, as well as diagnostics for Xmin, finite-size scaling, scaling relations, and correlation matrices and networks, while users can also create custom statistics to be executed within the embedded Python environment. The results generated within Autoplot are reusable, enabling them to be replotted, refitted, layered, composed, or exported as needed without the necessity of reconstructing the workflow from scratch. Furthermore, Autoplot supports an extensive variety of visualizations, including X&Y plots, histograms, heat maps, categorical charts, and 3D representations such as scatter, surface, and line plots, along with the capability to incorporate unlimited overlays, fits, and contours, ensuring that users have a versatile toolkit at their disposal for their scientific data needs. Thanks to its user-friendly interface and powerful capabilities, Autoplot stands out as an essential tool for researchers and scientists working in diverse fields.
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
Integrations
Python
Pricing Details
$7.99 per month
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
Autoplot
Country
Spain
Website
autoplot.ai/
Vendor Details
Company Name
PLOT Jobsite Coordination
Founded
2021
Country
United States
Website
www.getplot.com
Product Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics