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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
QuickMath is designed to provide solutions for a wide range of algebraic, equation-related, and calculus challenges commonly encountered by both high school and college learners. Within the algebra segment, users can expand, factor, or simplify nearly any mathematical expression they desire. Additionally, it offers functionalities for breaking down fractions into partial fractions, merging multiple fractions into a single entity, and eliminating common factors within those fractions. The equations component enables the resolution of an equation or a complete system of equations, typically yielding either an exact answer or a numerical solution with the desired level of precision. Users can also tackle inequalities or sets of inequalities involving a single variable, along with options to visualize these inequalities in two dimensions. The calculus portion supports both differentiation and the processes of definite and indefinite integration, while the matrices section provides tools for performing arithmetic operations on matrices. Moreover, the graphs section includes features for plotting various equations and inequalities, making it a comprehensive resource for students seeking assistance in these mathematical areas. In summary, QuickMath is a versatile tool that empowers students to tackle diverse mathematical challenges effectively.
API Access
Has API
No
API Access
Has API
No
Integrations
Python
No
Pricing Details
$7.99 per month
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
No
Mac
Yes
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
No
Mac
Yes
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
Autoplot
Country
Spain
Website
autoplot.ai/
Vendor Details
Company Name
QuickMath
Country
United States
Website
quickmath.com
Product Features
Data Analysis
Data Discovery
No
Data Visualization
No
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
