Viscosity

Viscosity

SparkLabs
+

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About

Viscosity has been designed from the ground up for both macOS and Windows, using native frameworks for perfect integration. Viscosity has been protecting users for over a decade, everyone from home users to large enterprise, with regular updates the entire time. Viscosity monitors your OpenVPN connections to ensure you know all the important traffic, network and connection details in style. Easily bundle Viscosity with settings and connections so your users are ready to get started. Create simple deployable connection profiles. Powerful authentication options, connection folders, IPv6, traffic obfuscation, advanced networking, simultaneous connections, and more! Every component of Viscosity has been designed to maximise the speed and reliability of your OpenVPN connections. Control Viscosity using AppleScript or VBScript, and call custom scripts and actions when a VPN connection changes state.

About

Wing Python IDE was designed from the ground up for Python, to bring you a more productive development experience. Type less and let Wing worry about the details. Get immediate feedback by writing your Python code interactively in the live runtime. Easily navigate code and documentation. Avoid common errors and find problems early with assistance from Wing's deep Python code analysis. Keep code clean with smart refactoring and code quality inspection. Debug any Python code. Inspect debug data and try out bug fixes interactively without restarting your app. Work locally or on a remote host, VM, or container. Wingware's 21 years of Python IDE experience bring you a more Pythonic development environment. Wing was designed from the ground up for Python, written in Python, and is extensible with Python. So you can be more productive.

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

Audience

Anyone looking for an VPN solution

Audience

Python developers seeking a tool to build applications

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

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

$14 one-time payment
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

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

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 3.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 1.0 / 5
support 4.0 / 5

Reviews/Ratings

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

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

SparkLabs
Founded: 2008
www.sparklabs.com/viscosity/

Company Information

Wingware
Founded: 1999
United States
wingware.com

Company Information

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

Alternatives

Alternatives

Alternatives

Gensim

Gensim

Radim Řehůřek
ML.NET

ML.NET

Microsoft
PyCharm

PyCharm

JetBrains
MLlib

MLlib

Apache Software Foundation
SoftEther VPN

SoftEther VPN

SoftEther Project
TorGuard

TorGuard

TorGuard VPN
Keepsake

Keepsake

Replicate

Categories

VPN

Categories

Categories

Application Development Features

Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development

Integrations

Amazon Web Services (AWS)
Apache Subversion
C
C++
Django
Flask
Flower
Git
Google App Engine
Guild AI
Intel Tiber AI Studio
Matplotlib
Mercurial
NumPy
P4
Python
Raspberry Pi OS
Train in Data
Vagrant
Visual Studio

Integrations

Amazon Web Services (AWS)
Apache Subversion
C
C++
Django
Flask
Flower
Git
Google App Engine
Guild AI
Intel Tiber AI Studio
Matplotlib
Mercurial
NumPy
P4
Python
Raspberry Pi OS
Train in Data
Vagrant
Visual Studio

Integrations

Amazon Web Services (AWS)
Apache Subversion
C
C++
Django
Flask
Flower
Git
Google App Engine
Guild AI
Intel Tiber AI Studio
Matplotlib
Mercurial
NumPy
P4
Python
Raspberry Pi OS
Train in Data
Vagrant
Visual Studio
Claim Viscosity and update features and information
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