JCov

JCov

OpenJDK

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 JCov open-source project is used to gather quality metrics associated with the production of test suites. JCov is being opened in order to facilitate the practice of verifying test execution of regression tests in OpenJDK development. The main motivation behind JCov is the transparency of test coverage metrics. The advantage to promoting standard coverage based on JCov is that OpenJDK developers will be able to use a code coverage tool that stays in the 'lock step' with Java language and VM developments. JCov is a pure java implementation of a code coverage tool that provides a means to measure and analyze dynamic code coverage of Java programs. JCov provides functionality to collect method, linear block, and branch coverage, as well as show uncovered execution paths. It is also able to show a program's source code annotated with coverage information. From a testing perspective, JCov is most useful to determine execution paths.

About

Vyper is a contract-oriented, pythonic programming language that targets the Ethereum Virtual Machine (EVM). Security: It should be possible and natural to build secure smart-contracts in Vyper. Language and compiler simplicity: The language and the compiler implementation should strive to be simple. Auditability: Vyper code should be maximally human-readable. Furthermore, it should be maximally difficult to write misleading code. Simplicity for the reader is more important than simplicity for the writer, and simplicity for readers with low prior experience with Vyper (and low prior experience with programming in general) is particularly important.

About

dbForge Query Builder for MySQL is a visual tool that allows creating any sort of MySQL queries, from simple lookups to complex JOINs. The tool provides broad compatibility options and helps constructing and editing complex MySQL queries in a few clicks. You don't need to sweat building complex code - just "draw" your query on a diagram. Key Features: * Generate, fix, and optimize SQL queries in a matter of moments with dbForge AI Assistant * Powerful visual MySQL query builder functionality * MySQL statement generator executes created queries and edits tables data * Combine a few queries to a sub-query via visual MySQL query editor * Manage databases proactively * Easily make JOINs between tables * Discover trends from mountains of data * Cut the time you spend on writing complex queries You can always find the latest version of the product on the official Devart website.

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 seeking a solution to gather quality metrics associated with the production of test suites

Audience

Smart contract developers

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

Free
Free Version
Free Trial

Pricing

79.95 $
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

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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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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

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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

OpenJDK
United States
wiki.openjdk.org/display/CodeTools/jcov

Company Information

Vyper
Founded: 2017
docs.vyperlang.org/en/stable/

Company Information

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

Alternatives

Alternatives

Alternatives

Clarity

Clarity

Clarity Smart Contracts

Alternatives

JCov

JCov

OpenJDK
RKTracer

RKTracer

RKVALIDATE
blanket.js

blanket.js

Blanket.js
Devel::Cover

Devel::Cover

metacpan
blanket.js

blanket.js

Blanket.js
Odin

Odin

Odin Language

Categories

Categories

Categories

Categories

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

AWS Marketplace
Amazon Corretto
Apache NetBeans
Azure Marketplace
C
Codecov
Django
Ethereum
HTML
Helidon
JSON
Java
Mako
MySQL
Python
Red Hat Runtimes
SQLite
Tidelift
pytest
pytest-cov

Integrations

AWS Marketplace
Amazon Corretto
Apache NetBeans
Azure Marketplace
C
Codecov
Django
Ethereum
HTML
Helidon
JSON
Java
Mako
MySQL
Python
Red Hat Runtimes
SQLite
Tidelift
pytest
pytest-cov

Integrations

AWS Marketplace
Amazon Corretto
Apache NetBeans
Azure Marketplace
C
Codecov
Django
Ethereum
HTML
Helidon
JSON
Java
Mako
MySQL
Python
Red Hat Runtimes
SQLite
Tidelift
pytest
pytest-cov

Integrations

AWS Marketplace
Amazon Corretto
Apache NetBeans
Azure Marketplace
C
Codecov
Django
Ethereum
HTML
Helidon
JSON
Java
Mako
MySQL
Python
Red Hat Runtimes
SQLite
Tidelift
pytest
pytest-cov
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Claim Coverage.py and update features and information
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