Imixs-Workflow is an Open Source Workflow Engine for Business Applications.

Imixs-Workflow is a workflow engine that allows to model the delegation of tasks and compliance rules. Imixs-Workflow automatically monitors and logs any kind of business process. This allows to implement more robust business applications in a fast and model driven way. Imixs Workflow is Open Source and based on the BPMN 2.0 standard. 

Imixs-Workflow is based on the open, scalable, transactional and robust Jakarta EE and the Eclipse Microprofile architecture. Imixs-Workflow supports many open standards and runs on any modern Application Server.

Market Readiness Synthesis

Initially developed as a proprietary software for the IBM LotusDomino application server, Imixs-Workflow became an open source project in 2005. The system is well productized, supports many open standards, including BPMN 2.0 standard and runs on any modern Application Server. Imixs-Workflow is supported by a self-financed SME based in Germany. The company reports deployment across the world and claims some 50 customers, essentially SMEs with typically 10 to 100 employees. It is currently developing a SaaS offering to facilitate growth in the SME market.

Market Readiness Level

Project Market Readiness Level computed by OW2.

More on the definition and computation of Market Readiness Levels here.

Best Practices Implementation

Coverage of best practices in open source software development implemented by the project.

More on best practices and how they are collected here.

Project Profile  

Computation of the project's profile through five key attributes defined by OW2.

More on how project attributes are commputed here.

MRL Assessment Diagram

This page lists the control points used in our assessment of the project's market readiness with their normalised values. It shows how they are combined to form the model. Please go to the methodology overview for more on the model and data collection.

Sources of Raw Data

Please use the links in this section for the raw data used in our MRL modeling.