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.
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About
This module provides code coverage metrics for Perl. Code coverage metrics describe how thoroughly tests exercise code. By using Devel::Cover you can discover areas of code not exercised by your tests and determine which tests to create to increase coverage. Code coverage can be considered an indirect measure of quality. Devel::Cover is now quite stable and provides many of the features to be expected in a useful coverage tool. Statement, branch, condition, subroutine, and pod coverage information is reported. Statement and subroutine coverage data should be accurate. Branch and condition coverage data should be mostly accurate too, although not always what one might initially expect. Pod coverage comes from Pod::Coverage. If Pod::Coverage::CountParents is available it will be used instead.
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About
Intelligence and security are built into Microsoft SQL Server 2019. You get extras without extra cost, along with best-in-class performance and flexibility for your on-premises needs. Take advantage of the efficiency and agility of the cloud by easily migrating to the cloud without changing code. Unlock insights and make predictions faster with Azure. Develop using the technology of your choice, including open source, backed by Microsoft's innovations. Easily integrate data into your apps and use a rich set of cognitive services to build human-like intelligence across any scale of data. AI is native to the data platform—you can unlock insights faster from all your data, on-premises and in the cloud. Combine your unique enterprise data and the world's data to build an intelligence-driven organization. Work with a flexible data platform that gives you a consistent experience across platforms and gets your innovations to market faster—you can build your apps and then deploy anywhere.
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About
fpm is a tool that lets you easily create packages for Debian, Ubuntu, Fedora, CentOS, RHEL, Arch Linux, FreeBSD, macOS, and more! fpm isn’t a new packaging system, it’s a tool to help you make packages for existing systems with less effort. It does this by offering a command-line interface to allow you to create packages easily. FPM is written in ruby and can be installed using gem. For some package formats (like rpm and snap), you will need certain packages installed to build them. Some package formats require other tools to be installed on your machine to be built; especially if you are building a package for another operating system/distribution. FPM takes your program and builds packages that can be installed easily on various operating systems. It can take any nodejs package, ruby gem, or even a python package and turn it into a deb, rpm, pacman, etc. package.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Any user looking for a solution to measure line and branch coverage to produce test reports
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Audience
Anyone looking for a powerful Code Coverage metric solution for Perl
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Audience
Any business and organization seeking a solution to manage their cloud operations
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Audience
IT professionals and users looking for a solution to create packages on various operating systems
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationCoverage.py
United States
coverage.readthedocs.io/en/7.0.0/
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Company Informationmetacpan
metacpan.org/pod/Devel::Cover
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Company InformationMicrosoft
Founded: 1975
United States
www.microsoft.com/en-us/sql-server/
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Company Informationfpm
fpm.readthedocs.io/en/latest/index.html
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Categories |
Categories |
Categories |
Categories |
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Business Intelligence Features
Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics
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
Relational Database Features
ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support
SQL Server Features
CPU Monitoring
Credential Management
Database Servers
Deployment Testing
Docker Compatible Containers
Event Logs
History Tracking
Patch Management
Scheduling
Supports Database Clones
User Activity Monitoring
Virtual Machine Monitoring
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Integrations
Asigra Tigris Backup
Astera ReportMiner
BlazeSQL
DROPS
DTM Data Modeler
DataReportive
Dataddo
ERDPlus
GetDot.ai
Hackolade
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Integrations
Asigra Tigris Backup
Astera ReportMiner
BlazeSQL
DROPS
DTM Data Modeler
DataReportive
Dataddo
ERDPlus
GetDot.ai
Hackolade
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Integrations
Asigra Tigris Backup
Astera ReportMiner
BlazeSQL
DROPS
DTM Data Modeler
DataReportive
Dataddo
ERDPlus
GetDot.ai
Hackolade
|
Integrations
Asigra Tigris Backup
Astera ReportMiner
BlazeSQL
DROPS
DTM Data Modeler
DataReportive
Dataddo
ERDPlus
GetDot.ai
Hackolade
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