dotCover

dotCover

JetBrains
+

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About

The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! The community hosts conferences and meetups to collaborate on code, and much more. Python's documentation will help you along the way, and the mailing lists will keep you in touch. The Python Package Index (PyPI) hosts thousands of third-party modules for Python. Both Python's standard library and the community-contributed modules allow for endless possibilities.

About

dotCover is a .NET unit testing and code coverage tool that works right in Visual Studio and in JetBrains Rider, helps you know to what extent your code is covered with unit tests, provides great ways to visualize code coverage, and is Continuous Integration ready. dotCover calculates and reports statement-level code coverage in applications targeting .NET Framework, .NET Core, Mono for Unity, etc. dotCover is a plug-in to Visual Studio and JetBrains Rider, giving you the advantage of analyzing and visualizing code coverage without leaving the code editor. This includes running unit tests and analyzing coverage results right in the IDEs, as well as support for different color themes, new icons and menus. dotCover comes bundled with a unit test runner that it shares with another JetBrains tool for .NET developers, ReSharper. dotCover supports continuous testing, a modern unit testing workflow whereby dotCover figures out on-the-fly which unit tests are affected by your code changes.

About

statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests and statistical data exploration. An extensive list of result statistics is available for each estimator. The results are tested against existing statistical packages to ensure that they are correct. The package is released under the open-source Modified BSD (3-clause) license. statsmodels supports specifying models using R-style formulas and pandas DataFrames. Have a look at dir(results) to see available results. Attributes are described in results.__doc__ and results methods have their own docstrings. You can also use numpy arrays instead of formulas. The easiest way to install statsmodels is to install it as part of the Anaconda distribution, a cross-platform distribution for data analysis and scientific computing. This is the recommended installation method for most users.

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 interested in a beautiful but advanced programming language

Audience

Developers searching for a unit testing and code coverage solution to visualize code coverage

Audience

Users and anyone in search of a solution to calculate the estimation of many different statistical models

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

Free
Free Version
Free Trial

Pricing

$399 per user per year
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 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

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

Python
Founded: 1991
www.python.org

Company Information

JetBrains
Founded: 2000
Czech Republic
www.jetbrains.com/dotcover/

Company Information

statsmodels
www.statsmodels.org/stable/index.html

Alternatives

Alternatives

Alternatives

CodeRush

CodeRush

DevExpress
Early

Early

EarlyAI

Categories

Categories

Categories

Integrations

AMD Developer Cloud
AskYourDatabase
Claude Sonnet 4
Electrum-LTC
Gemini 2.5 Flash-Lite
Growler
HoundDog.ai
HyperSaaS
Kite
Klavis AI
NUnit
OpenAI Codex
Overleaf
Pdftools
Scale SERP
Service Objects Phone Validation
Speakeasy
Tabular
Vald
dotPeek

Integrations

AMD Developer Cloud
AskYourDatabase
Claude Sonnet 4
Electrum-LTC
Gemini 2.5 Flash-Lite
Growler
HoundDog.ai
HyperSaaS
Kite
Klavis AI
NUnit
OpenAI Codex
Overleaf
Pdftools
Scale SERP
Service Objects Phone Validation
Speakeasy
Tabular
Vald
dotPeek

Integrations

AMD Developer Cloud
AskYourDatabase
Claude Sonnet 4
Electrum-LTC
Gemini 2.5 Flash-Lite
Growler
HoundDog.ai
HyperSaaS
Kite
Klavis AI
NUnit
OpenAI Codex
Overleaf
Pdftools
Scale SERP
Service Objects Phone Validation
Speakeasy
Tabular
Vald
dotPeek
Claim Python and update features and information
Claim Python and update features and information
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