JCov

JCov

OpenJDK
+
+

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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

OculiX is a Java-based visual automation tool, the modern successor to SikuliX (2010) and to the original Sikuli research project (MIT, 2009). It automates any GUI by recognizing what a human sees on screen: click, type, wait, assert visibility, extract text, regardless of whether the target application exposes an API or is written in a language you know. Where existing visual automation tools are either proprietary (Applitools, Ranorex, TestComplete, Eggplant) or Python-based, OculiX is the only serious open source Java stack in this niche. It ships as a self-contained bundle: image recognition via OpenCV, OCR via a bundled Tesseract runtime (no user install needed), a full Swing IDE with a modern recorder, a Java API for embedding into JUnit / TestNG / Katalon pipelines, and Model Context Protocol support for LLM-driven test agents. Runs on Windows, macOS (Intel + Apple Silicon), and Linux (x86-64 + aarch64). Used in production by enterprise QA teams and RPA practitioners at Ne

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

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

Audience

Enterprise QA teams, DevOps engineers, and RPA practitioners who need cross-platform automation they can trust: same script, same result, every run. Exact image matching and embedded OCR drive any desktop, web, or mirrored mobile application by what's on screen, with zero model drift and full audit trails. Production-trusted by Fortune 500, APAC-based, and defense organizations for legacy migration, unattended automation, and compliance-sensitive workflows where probabilistic approaches don't qualify.

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

Free
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

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

Company Information

OculiX
Founded: 2026
France
oculix.org

Alternatives

Alternatives

Squish

Squish

Qt Group
RKTracer

RKTracer

RKVALIDATE
Katalium

Katalium

Katalon
blanket.js

blanket.js

Blanket.js

Categories

Categories

Robotic Process Automation (RPA) Features

Analytics
Attended Automation
Code-free Development
Image Recognition
Optical Character Recognition
Process Builder
Third Party Application Integration
Unattended Automation

Integrations

Java
AWS Marketplace
Amazon Corretto
Apache Groovy
Apache Maven
Apache NetBeans
Azure Marketplace
Gradle
Helidon
JUnit
JavaScript
Kotlin
Model Context Protocol (MCP)
OpenCV
PaddleOCR
Python
RDPWindows
Ruby
VNC Connect
XML

Integrations

Java
AWS Marketplace
Amazon Corretto
Apache Groovy
Apache Maven
Apache NetBeans
Azure Marketplace
Gradle
Helidon
JUnit
JavaScript
Kotlin
Model Context Protocol (MCP)
OpenCV
PaddleOCR
Python
RDPWindows
Ruby
VNC Connect
XML
Claim JCov and update features and information
Claim JCov and update features and information
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