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

It works with .NET Framework on Windows and .NET Core on all supported platforms. Coverlet supports coverage for deterministic builds. The solution at the moment is not optimal and need a workaround. If you want to visualize coverlet output inside Visual Studio while you code, you can use the following addins depending on your platform. Coverlet also integrates with the build system to run code coverage after tests. Enabling code coverage is as simple as setting the CollectCoverage property to true. The coverlet tool is invoked by specifying the path to the assembly that contains the unit tests. You also need to specify the test runner and the arguments to pass to the test runner using the --target and --targetargs options respectively. The invocation of the test runner with the supplied arguments must not involve a recompilation of the unit test assembly or no coverage result will be generated.

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

dbForge Data Compare for MySQL is a fast, easy-to-use tool to compare and synchronize data of MySQL, MariaDB and Percona databases. The tool provides clear view of differences between data, allows analyzing them, generates synchronization script and applies changes at a glance. It also allows scheduling regular MySQL data comparisons using command line. Key Features: * AI Assistant integration * Support of all MySQL versions * Support of MariaDB * Percona Support * Custom mapping of tables, columns, and views * Convenient comparison wizard * Full control of data synchronization * Integrated SQL editor * Code completion and SQL Code Formatter. These features offer the extended list of suggestions during the typing of SQL code and object information on different database objects. Profile formatting capabilities allow users to create new profiles and edit the existing ones easier than ever

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

IT teams searching for a cross platform code coverage framework for .NET

Audience

Organizations interested in a powerful and comprehensive cloud data platform

Audience

Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.

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

89.95$
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 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 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

Coverlet
github.com/coverlet-coverage/coverlet

Company Information

Snowflake
Founded: 2012
United States
www.snowflake.com

Company Information

Devart
Founded: 1997
United States of America
www.devart.com/dbforge/mysql/datacompare/

Alternatives

Alternatives

Alternatives

Alternatives

JCov

JCov

OpenJDK
dotCover

dotCover

JetBrains
 OraDump-to-MySQL

OraDump-to-MySQL

Intelligent Converters
blanket.js

blanket.js

Blanket.js
CodeRush

CodeRush

DevExpress
Devel::Cover

Devel::Cover

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

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

Integrations

AlphaGeo
Alteryx Designer
AuctionMethod
Azquo
CData Power BI Connectors
Cribl AppScope
DataOps DataFlow
Datameer
Eppo
Etlworks
FeatureByte
Mona
Pharmalite
Revelstoke
Semarchy xDI
SoundCommerce
Spinify
Telmai
Timbr.ai
Totango

Integrations

AlphaGeo
Alteryx Designer
AuctionMethod
Azquo
CData Power BI Connectors
Cribl AppScope
DataOps DataFlow
Datameer
Eppo
Etlworks
FeatureByte
Mona
Pharmalite
Revelstoke
Semarchy xDI
SoundCommerce
Spinify
Telmai
Timbr.ai
Totango

Integrations

AlphaGeo
Alteryx Designer
AuctionMethod
Azquo
CData Power BI Connectors
Cribl AppScope
DataOps DataFlow
Datameer
Eppo
Etlworks
FeatureByte
Mona
Pharmalite
Revelstoke
Semarchy xDI
SoundCommerce
Spinify
Telmai
Timbr.ai
Totango

Integrations

AlphaGeo
Alteryx Designer
AuctionMethod
Azquo
CData Power BI Connectors
Cribl AppScope
DataOps DataFlow
Datameer
Eppo
Etlworks
FeatureByte
Mona
Pharmalite
Revelstoke
Semarchy xDI
SoundCommerce
Spinify
Telmai
Timbr.ai
Totango
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