dotCover

dotCover

JetBrains

About

Coverage.py is a tool for measuring code coverage of Python programs. It monitors your program, noting which parts of the code have been executed, then analyzes the source to identify code that could have been executed but was not. Coverage measurement is typically used to gauge the effectiveness of tests. It can show which parts of your code are being exercised by tests, and which are not. Use coverage run to run your test suite and gather data. However you normally run your test suite, and you can run your test runner under coverage. If your test runner command starts with “python”, just replace the initial “python” with “coverage run”. To limit coverage measurement to code in the current directory, and also find files that weren’t executed at all, add the source argument to your coverage command line. By default, it will measure line (statement) coverage. It can also measure branch coverage. It can tell you what tests ran which lines.

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

Snowflake is a comprehensive AI Data Cloud platform designed to eliminate data silos and simplify data architectures, enabling organizations to get more value from their data. The platform offers interoperable storage that provides near-infinite scale and access to diverse data sources, both inside and outside Snowflake. Its elastic compute engine delivers high performance for any number of users, workloads, and data volumes with seamless scalability. Snowflake’s Cortex AI accelerates enterprise AI by providing secure access to leading large language models (LLMs) and data chat services. The platform’s cloud services automate complex resource management, ensuring reliability and cost efficiency. Trusted by over 11,000 global customers across industries, Snowflake helps businesses collaborate on data, build data applications, and maintain a competitive edge.

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.

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

Any user looking for a solution to measure line and branch coverage to produce test reports

Audience

Developers interested in a beautiful but advanced programming language

Audience

Organizations interested in a powerful and comprehensive cloud data platform

Audience

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

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

$2 compute/month
Free Version
Free Trial

Pricing

$399 per user per year
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

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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 4.8 / 5
ease 4.8 / 5
features 5.0 / 5
design 4.8 / 5
support 4.8 / 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

Training

Documentation
Webinars
Live Online
In Person

Company Information

Coverage.py
United States
coverage.readthedocs.io/en/7.0.0/

Company Information

Python
Founded: 1991
www.python.org

Company Information

Snowflake
Founded: 2012
United States
www.snowflake.com

Company Information

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

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Alternatives

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Early

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metacpan

Categories

Categories

Categories

Categories

Data Warehouse Features

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

Database Features

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

ETL Features

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Integrations

Amazon SageMaker Studio Lab
Apache Phoenix
CodeScene
Comet
Cyral
DataCebo Synthetic Data Vault (SDV)
Datafi
Grouparoo
HappyRobot
Mobilize.net
Monad
Muscula
NVIDIA Brev
Rafter
SX.ORG
Saagie
SigNoz
SysSCRIPT
Wallaroo.AI
Zendesk

Integrations

Amazon SageMaker Studio Lab
Apache Phoenix
CodeScene
Comet
Cyral
DataCebo Synthetic Data Vault (SDV)
Datafi
Grouparoo
HappyRobot
Mobilize.net
Monad
Muscula
NVIDIA Brev
Rafter
SX.ORG
Saagie
SigNoz
SysSCRIPT
Wallaroo.AI
Zendesk

Integrations

Amazon SageMaker Studio Lab
Apache Phoenix
CodeScene
Comet
Cyral
DataCebo Synthetic Data Vault (SDV)
Datafi
Grouparoo
HappyRobot
Mobilize.net
Monad
Muscula
NVIDIA Brev
Rafter
SX.ORG
Saagie
SigNoz
SysSCRIPT
Wallaroo.AI
Zendesk

Integrations

Amazon SageMaker Studio Lab
Apache Phoenix
CodeScene
Comet
Cyral
DataCebo Synthetic Data Vault (SDV)
Datafi
Grouparoo
HappyRobot
Mobilize.net
Monad
Muscula
NVIDIA Brev
Rafter
SX.ORG
Saagie
SigNoz
SysSCRIPT
Wallaroo.AI
Zendesk
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