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Description
We have dedicated significant effort to ensure that ngx-bootstrap remains modular, allowing you to customize your templates, styles, and more. Each component is crafted with flexibility and adaptability in mind, ensuring seamless functionality on both mobile and desktop platforms without compromising performance. To promote code clarity and ease of maintenance, we have established comprehensive style guides and best practices. Our commitment to supporting the latest Angular versions is unwavering, and we ensure thorough unit-test coverage for all components. Being developers ourselves, we recognize how crucial it is to have reliable documentation, as well-structured and regularly updated guides greatly simplify the developer experience and enhance software quality. We strive to deliver the most comprehensive and user-friendly documentation available. Additionally, when dealing with visually rich libraries, it is essential to understand what you are implementing without the burden of complex installation processes. That’s why we have created an extensive array of demos showcasing the functionality of most component methods, allowing for quick and easy exploration. By doing so, we aim to empower developers to utilize our library with confidence and ease.
Description
Statsmodels is a Python library designed for the estimation of various statistical models, enabling users to perform statistical tests and explore data effectively. Each estimator comes with a comprehensive array of result statistics, which are validated against established statistical software to ensure accuracy. This package is distributed under the open-source Modified BSD (3-clause) license, promoting free use and modification. Users can specify models using R-style formulas or utilize pandas DataFrames for convenience. To discover available results, you can check dir(results), and you will find that attributes are detailed in results.__doc__, while methods include their own docstrings for further guidance. Additionally, numpy arrays can be employed as an alternative to formulas. For most users, the simplest way to install statsmodels is through the Anaconda distribution, which caters to data analysis and scientific computing across various platforms. Overall, statsmodels serves as a powerful tool for statisticians and data analysts alike.
API Access
Has API
API Access
Has API
Pricing Details
Free
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
Valor Software
Website
valor-software.com/ngx-bootstrap/
Vendor Details
Company Name
statsmodels
Website
www.statsmodels.org/stable/index.html