ProM

ProM is a free, self-hosted framework for analyzing process execution logs with process mining techniques. It suits researchers and teams who want to work with event logs and process models across desktop operating systems, and who are comfortable adding packages as needed. Its breadth of plug-ins and supported formats is useful, though the research release’s Java requirement and separate package installation add setup work.

Overview

ProM brings process mining capabilities together in an extensible framework. Its documented plug-ins cover event log filtering, process discovery, conformance checking, and model enhancement, so it can support several stages of process analysis rather than only one task. Conformance checking and process monitoring are also supported capabilities.

It treats event logs and models such as Petri nets and BPMN diagrams as objects, with visualizers for those object types. This gives analysts a way to inspect both input data and process models in the same environment. XES and CSV import and export support make it a practical fit for workflows using either of those event log formats.

Key features

• Plug-in based analysis: Filtering, discovery, conformance checking, and model enhancement cover a useful range of process mining work. The Package Manager installs packages that contain objects and plug-ins, letting users extend the framework; installing those additions separately means the initial download is not the whole setup.
• Process objects and visualizers: Support for event logs, Petri nets, and BPMN diagrams gives users a consistent way to represent and view data and models. This is useful for teams already working with these formats.
• XES and CSV exchange: Import and export support for both formats accommodates common event log workflows without requiring a single file format.
• Community extension: ProM welcomes researchers and developers who want to contribute plug-ins, which makes it a natural fit for work that benefits from a framework others can extend. Plug-ins typically use the LGPL, while the ProM 6 core uses the GPL; third party software can have different plug-in licensing terms.

Pricing

ProM 6.15 costs nothing. It is free to download, with packages and plug-ins installed separately. There is no free trial because the release is free. The download requires Java 8 or later; Java versions later than 8 can run it, though they have not been extensively tested.

The research release is intended for stable reference in publications. Users who do not need to publish results are directed to ProM Lite 1.4, which has fewer features but receives updates. That is a sensible distinction: researchers can prioritize a stable release for published work, while other users can choose the updated Lite release if its reduced feature set covers their needs.

Platforms

ProM supports Linux, macOS, and Windows, and is self-hosted. The ProM 6.15 page provides Windows downloads and Linux and Mac OS installation instructions. Its desktop availability across all three systems is useful for teams with mixed operating systems, though Java is an additional requirement for version 6.15.

Who it's for

ProM is best suited to researchers, developers, and practitioners who need an extensible environment for analyzing process execution logs, especially when they want to use its documented plug-ins or work with XES and CSV. Researchers publishing results have a clear reason to use ProM 6.15; users who value updates and do not need publication stability may find ProM Lite 1.4 a better fit.

It is less suited to someone seeking a ready-to-use, single-purpose tool with no package setup. ProM’s modularity is a strength when users need to select and extend capabilities, but it brings extra setup and a need to check plug-in licensing where third party software is involved.

Pros and cons

• Pros:
  • Free download across Linux, macOS, and Windows, with self-hosted deployment.
  • Documented plug-ins span filtering, discovery, conformance checking, and model enhancement.
  • XES and CSV import and export, with visualizers for event logs, Petri nets, and BPMN diagrams.
  • A stable research release and an updated Lite release serve different publication needs.
• Cons:
  • Packages and plug-ins must be installed separately, adding setup steps before users have the capabilities they need.
  • ProM 6.15 requires Java 8 or later, and later Java versions have not been extensively tested.
  • The core and plug-ins can have different licenses, so users incorporating third party software may need to review each plug-in’s terms.
  • ProM Lite 1.4 has fewer features than ProM 6.15, which may limit its fit for users who need the full research release.

Alternatives

Choose Mindzie Process Mining if a free desktop edition with full functionality and a cap of 1,000 cases fits your needs better than ProM’s package-based framework.

PM4Py is another free option for Linux, macOS, and Windows; its Community Version is aimed at teaching, research, and open-source projects, with covered work required to be published under AGPL v3.

Consider Celonis Process Mining Platform if you want to compare a paid process mining platform that also has a free plan.

ProcessMind offers a free plan for one member, with full process access, unlimited models, and 20 AI credits per month; it fits a solo user whose needs match those limits.

bupaR is a free R package for business process analysis. Cortado is a free option for Linux, macOS, and Windows. RuM is also free and supports those three desktop systems. StereoLOGIC Process Mining is a paid option for Linux, Windows, web, or self-hosted use. Browse more options in Process Mining Software.

Verdict

Choose ProM if you want a free, self-hosted process mining framework with a broad documented plug-in range, visualized process objects, and XES and CSV support across Linux, macOS, and Windows. Researchers publishing results have a stable release to reference; users who want updates and do not need that stability should consider ProM Lite 1.4. Look elsewhere if separate package setup, the Java requirement, or plug-in licensing makes the framework a poor fit for your workflow.