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What is OculiX?

OculiX is the modern Java successor to SikuliX (Raimund Hocke, 2010) and to the original Sikuli research project (Yeh et al., MIT UIST 2009). The lineage covers 17 years of continuous open source visual automation development, and OculiX is the current active branch of that history — modernized codebase, Java 17+ baseline, contemporary IDE, and a strict MIT license. The niche of Java-based open source visual automation has effectively one serious project, and OculiX is it. Everything else in the space is either Python (PyAutoGUI, SikuliX-Python wrappers) or proprietary (Applitools, Ranorex, TestComplete, Eggplant). OculiX ships batteries-included: OpenCV template matching, embedded Tesseract OCR with no user install, a Swing-based IDE with a modern recorder that generates scripts in Python, Java, or Robot Framework syntax, a Java API for embedding into any JUnit / TestNG / Katalon test project, and Model Context Protocol servers for LLM agent workflows. Cross-platform: Windows, macOS (Intel + Apple Silicon), Linux (x86-64 + aarch64, including glibc-legacy). Adopted by 150+ organizations including Neo4j, Siemens, Synopsys, Johnson & Johnson, IBM, General Motors. Repository on GitHub at oculix-org/Oculix. MIT license.

What is JMockit?

This toolkit is offered as a set of resources available through the Maven Central repository. To execute tests, it requires Java version 7 or above, and these tests can be run using either JUnit or TestNG frameworks. For instructions on how to integrate the library into your Java project, consult the section dedicated to Running tests with JMockit. This guide delves into the different APIs that the library provides, featuring example tests that are built using Java 8. At its core, the primary API includes a single annotation that enables the automatic creation and configuration of the objects that are to be tested. In addition to this, there is a mocking API, commonly known as the "Expectations" API, designed specifically for tests that involve mocked dependencies. Moreover, a streamlined faking API, referred to as the "Mockups" API, is included to help create and employ fake implementations, thus reducing the resource load required by external components. Overall, this toolkit significantly improves testing efficiency by simplifying the setup process and offering flexible mocking features, making it a valuable asset for developers. With its comprehensive capabilities, it ensures that testing can be both effective and efficient.

Media

Media

Integrations Supported

Java
Apache Groovy
Apache Maven
Gradle
JUnit
JavaScript
Katalon Studio
Kotlin
Model Context Protocol (MCP)
OpenCV
PaddleOCR
Python
RDPWindows
Robot Framework
Ruby
Tesseract
VNC Connect

Integrations Supported

Java
Apache Groovy
Apache Maven
Gradle
JUnit
JavaScript
Katalon Studio
Kotlin
Model Context Protocol (MCP)
OpenCV
PaddleOCR
Python
RDPWindows
Robot Framework
Ruby
Tesseract
VNC Connect

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Version
Free Trial Offered?

Pricing Information

Free
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

OculiX

Date Founded

2026

Company Location

France

Company Website

oculix.org

Company Facts

Organization Name

JMockit

Company Website

jmockit.github.io

Categories and Features

Robotic Process Automation (RPA)

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

Categories and Features

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