JCov

JCov

OpenJDK
+
+

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About

Prevent data outages by identifying and fixing data quality issues before they get into production. Go from 0 to 100% test coverage of your data pipelines in a day. Know the impact of each code change with automatic regression testing across billions of rows. Automate change management, improve data literacy, achieve compliance, and reduce incident response time. Don’t let data incidents take you by surprise. Be the first one to know with automated anomaly detection. Datafold’s easily adjustable ML model adapts to seasonality and trend patterns in your data to construct dynamic thresholds. Save hours spent on trying to understand data. Use the Data Catalog to find relevant datasets, fields, and explore distributions easily with an intuitive UI. Get interactive full-text search, data profiling, and consolidation of metadata in one place.

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.

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

Data observability platform that helps companies prevent data catastrophes

Audience

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

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
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

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Datafold
United States
www.datafold.com

Company Information

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

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Basis
blanket.js

blanket.js

Blanket.js

Categories

Categories

Integrations

Amazon Corretto
Amazon Redshift
Amundsen
Apache Airflow
Apache NetBeans
Azure Databricks
Azure Marketplace
DataHub
GitHub
GitLab
Google Cloud BigQuery
Helidon
Java
PagerDuty
PostgreSQL
Red Hat Runtimes
Secoda
Slack
Snowflake
dbt

Integrations

Amazon Corretto
Amazon Redshift
Amundsen
Apache Airflow
Apache NetBeans
Azure Databricks
Azure Marketplace
DataHub
GitHub
GitLab
Google Cloud BigQuery
Helidon
Java
PagerDuty
PostgreSQL
Red Hat Runtimes
Secoda
Slack
Snowflake
dbt
Claim Datafold and update features and information
Claim Datafold and update features and information
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