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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
NiceGUI is an open-source library designed for Python that empowers developers to craft web-based graphical user interfaces (GUIs) using solely Python code. It boasts an approachable learning curve and simultaneously allows for sophisticated customizations. Adopting a backend-first approach, NiceGUI takes care of all web development intricacies, enabling developers to concentrate on their Python code. This framework is well-suited for diverse applications, from simple scripts and dashboards to robotics, IoT systems, smart home automation, and machine learning initiatives. It is constructed on FastAPI for backend functions, utilizes Vue.js for frontend interactions, and incorporates Tailwind CSS for styling aesthetics. With NiceGUI, developers can effortlessly create various elements, including buttons, dialogs, Markdown content, 3D visualizations, plots, and much more—all within a Python-centric environment. Furthermore, it facilitates real-time interactivity via WebSocket connections, allowing for immediate updates in the browser without needing to refresh the page. Additionally, NiceGUI provides a plethora of components and layout configurations, like rows and columns, ensuring versatile design possibilities for users.
API Access
Has API
API Access
Has API
Integrations
Python
CSS
Docker
FastAPI
HTML
Markdown
NGINX
OAuth
OpenAI
Redis
Integrations
Python
CSS
Docker
FastAPI
HTML
Markdown
NGINX
OAuth
OpenAI
Redis
Pricing Details
$7.99 per month
Free Trial
Free Version
Pricing Details
Free
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
NiceGUI
Country
United States
Website
nicegui.io
Product Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics