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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.
Integrations Supported
Java
Apache Groovy
Apache Maven
Gradle
JUnit
JavaScript
Katalon Studio
Kotlin
Model Context Protocol (MCP)
OpenCV
API Availability
Has API
API Availability
Has API
Pricing Information
Free
Free Version
Pricing Information
Free
Free Version
Supported Platforms
Windows
Mac
On-Prem
Linux
Supported Platforms
Windows
Mac
Linux
Customer Service / Support
Standard Support
Web-Based Support
Customer Service / Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Documentation Hub
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)
Attended Automation
Image Recognition
Optical Character Recognition
Third Party Application Integration
Unattended Automation
Categories and Features
Unit Testing
Not specified