VBScript

VBScript

Microsoft

About

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. A large number of third party packages extend and build on Matplotlib functionality, including several higher-level plotting interfaces (seaborn, HoloViews, ggplot, ...), and a projection and mapping toolkit (Cartopy).

About

VBScript is a programming language included with Microsoft Internet Explorer. For other browsers, contact your vendor about support. VBScript 2.0 (or later) is recommended for use with Agent. Although earlier versions of VBScript may work with Agent, they lack certain functions that you may want to use. You can download VBScript 2.0 and obtain further information on VBScript at the Microsoft Downloads site and the Microsoft VBScript site. With VBScript (2.0 or later), you can verify whether Microsoft Agent is installed by trying to create the object and checking to see if it exists. The following sample demonstrates how to check for the Agent control without triggering an auto-download of the control.

About

ggplot2 is a system for declaratively creating graphics, based on The Grammar of Graphics. You provide the data, tell ggplot2 how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details. ggplot2 is now over 10 years old and is used by hundreds of thousands of people to make millions of plots. That means, by-and-large, ggplot2 itself changes relatively little. When we do make changes, they will be generally to add new functions or arguments rather than changing the behavior of existing functions, and if we do make changes to existing behavior we will do them for compelling reasons. If you are new to ggplot2 you are better off starting with a systematic introduction, rather than trying to learn from reading individual documentation pages.

About

Scikit-learn provides simple and efficient tools for predictive data analysis. Scikit-learn is a robust, open source machine learning library for the Python programming language, designed to provide simple and efficient tools for data analysis and modeling. Built on the foundations of popular scientific libraries like NumPy, SciPy, and Matplotlib, scikit-learn offers a wide range of supervised and unsupervised learning algorithms, making it an essential toolkit for data scientists, machine learning engineers, and researchers. The library is organized into a consistent and flexible framework, where various components can be combined and customized to suit specific needs. This modularity makes it easy for users to build complex pipelines, automate repetitive tasks, and integrate scikit-learn into larger machine-learning workflows. Additionally, the library’s emphasis on interoperability ensures that it works seamlessly with other Python libraries, facilitating smooth data processing.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers looking for a Python library for creating static, animated, & interactive visualizations

Audience

Programming Language solution for developers

Audience

Developers searching for a powerful Component Libraries solution

Audience

Engineers and data scientists requiring a solution to manage and improve their machine learning research

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

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Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Matplotlib
matplotlib.org

Company Information

Microsoft
docs.microsoft.com/en-us/windows/win32/lwef/using-vbscript

Company Information

ggplot2
ggplot2.tidyverse.org

Company Information

scikit-learn
United States
scikit-learn.org/stable/

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Replicate

Categories

Categories

Categories

Categories

Integrations

Altap Salamander
CodeSession
Databricks Data Intelligence Platform
EditPlus
EmEditor
Guild AI
Intel Tiber AI Studio
Kedro
Keepsake
Matplotlib
ModelOp
Overleaf
PaizaCloud
Python
R
System Frontier
Train in Data
Yandex Data Proc
scikit-learn

Integrations

Altap Salamander
CodeSession
Databricks Data Intelligence Platform
EditPlus
EmEditor
Guild AI
Intel Tiber AI Studio
Kedro
Keepsake
Matplotlib
ModelOp
Overleaf
PaizaCloud
Python
R
System Frontier
Train in Data
Yandex Data Proc
scikit-learn

Integrations

Altap Salamander
CodeSession
Databricks Data Intelligence Platform
EditPlus
EmEditor
Guild AI
Intel Tiber AI Studio
Kedro
Keepsake
Matplotlib
ModelOp
Overleaf
PaizaCloud
Python
R
System Frontier
Train in Data
Yandex Data Proc
scikit-learn

Integrations

Altap Salamander
CodeSession
Databricks Data Intelligence Platform
EditPlus
EmEditor
Guild AI
Intel Tiber AI Studio
Kedro
Keepsake
Matplotlib
ModelOp
Overleaf
PaizaCloud
Python
R
System Frontier
Train in Data
Yandex Data Proc
scikit-learn
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