JCov

JCov

OpenJDK
+
+

Related Products

  • DataBuck
    6 Ratings
    Visit Website
  • DataHub
    10 Ratings
    Visit Website
  • SCIKIQ
    14 Ratings
    Visit Website
  • Code-Cube.io
    7 Ratings
    Visit Website
  • MuukTest
    34 Ratings
    Visit Website
  • Virtuoso QA
    131 Ratings
    Visit Website
  • Checksum.ai
    2 Ratings
    Visit Website
  • NeuBird
    2 Ratings
    Visit Website
  • Okyline
    2 Ratings
    Visit Website
  • Semarchy xDM
    64 Ratings
    Visit Website

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 Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

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 Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

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 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 Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Datafold
United States
www.datafold.com

Company Information

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

Alternatives

DataBuck

DataBuck

FirstEigen

Alternatives

RKTracer

RKTracer

RKVALIDATE
blanket.js

blanket.js

Blanket.js

Categories

Data Observability Supported
Data Quality Supported
DataOps Supported
Regression Testing Supported

Categories

Code Coverage Supported
Regression Testing Supported

Integrations

AWS Marketplace Not Supported
Amazon Redshift Supported
Apache Airflow Supported
Apache NetBeans Not Supported
Azure Databricks Supported
Azure Marketplace Not Supported
DataHub Supported
GitHub Supported
GitLab Supported
Google Cloud BigQuery Supported
Helidon Not Supported
Java Not Supported
PagerDuty Supported
PostgreSQL Supported
Red Hat Runtimes Not Supported
Secoda Supported
Slack Supported
Snowflake Supported
XML Not Supported
dbt Supported

Integrations

AWS Marketplace Supported
Amazon Redshift Not Supported
Apache Airflow Not Supported
Apache NetBeans Supported
Azure Databricks Not Supported
Azure Marketplace Supported
DataHub Not Supported
GitHub Not Supported
GitLab Not Supported
Google Cloud BigQuery Not Supported
Helidon Supported
Java Supported
PagerDuty Not Supported
PostgreSQL Not Supported
Red Hat Runtimes Supported
Secoda Not Supported
Slack Not Supported
Snowflake Not Supported
XML Supported
dbt Not Supported
Claim Datafold and update features and information
Claim Datafold and update features and information
Claim JCov and update features and information
Claim JCov and update features and information