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
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
A seamless JavaScript code coverage library. Blanket.js is a code coverage tool for JavaScript that aims to be easy to install, easy to use, and easy to understand. Blanket.js can be run seamlessly or can be customized for your needs. JavaScript code coverage compliments your existing JavaScript tests by adding code coverage statistics (which lines of your source code are covered by your tests). Parsing the code using Esprima and node-falafel, and instrumenting the file by adding code tracking lines. Connecting to hooks in the test runner to output the coverage details after the tests have been completed. A Grunt plugin has been created to allow you to use Blanket like a "traditional" code coverage tool (creating instrumented copies of physical files, as opposed to live-instrumenting). Runs the QUnit-based Blanket report headlessly using PhantomJS. Results are displayed on the console, and the task will cause Grunt to fail if any of your configured coverage thresholds are not met.
|
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
Organizations interested in a powerful and comprehensive cloud data platform
|
Audience
Developers seeking a solution to manage their code tracking processes and statistics
|
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
$2 compute/month
Free Version
Free Trial
|
Pricing
Free
Free Version
Free Trial
|
Pricing
89.95$
Free Version
Free Trial
|
|||
Reviews/
|
Reviews/
|
Reviews/
|
Reviews/
|
|||
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 InformationCoverage.py
United States
coverage.readthedocs.io/en/7.0.0/
|
Company InformationSnowflake
Founded: 2012
United States
www.snowflake.com
|
Company InformationBlanket.js
github.com/alex-seville/blanket
|
Company InformationDevart
Founded: 1997
United States of America
www.devart.com/dbforge/mysql/datacompare/
|
|||
Alternatives |
Alternatives |
Alternatives |
Alternatives |
|||
|
|
|
|
|
|||
|
|
|
|||||
|
|
|
|
||||
|
|
|
|||||
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
XTEL AI
Amigo
BeagleGPT
C
Coefficient
Datagaps ETL Validator
Genie AI
IBM watsonx.data
IRI Data Protector Suite
Microsoft Fabric
|
Integrations
XTEL AI
Amigo
BeagleGPT
C
Coefficient
Datagaps ETL Validator
Genie AI
IBM watsonx.data
IRI Data Protector Suite
Microsoft Fabric
|
Integrations
XTEL AI
Amigo
BeagleGPT
C
Coefficient
Datagaps ETL Validator
Genie AI
IBM watsonx.data
IRI Data Protector Suite
Microsoft Fabric
|
Integrations
XTEL AI
Amigo
BeagleGPT
C
Coefficient
Datagaps ETL Validator
Genie AI
IBM watsonx.data
IRI Data Protector Suite
Microsoft Fabric
|
|||
|
|
|
|
|
