OpenMS is a powerful open-source software platform for analyzing mass spectrometry (MS) data. Actively developed for over two decades, it enables reproducible workflows across diverse applications such as:

• Bottom-up and top-down proteomics
• Metabolomics
• Structural biology
• Oligonucleotide MS

With a rich library of algorithms and tools, OpenMS supports both experimental researchers and developers.

• Ready-to-use workflows (e.g. OpenMS WebApps) simplify data analysis.
• Customizable modules in C++ and Python (pyOpenMS) enable tailored solutions and seamless integration with machine learning, visualization, and statistical pipelines.

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Deployment Options

OpenMS can be deployed in many ways:

• Interactive use - graphical user interface and command-line tools
• Custom scripting - Python (pyOpenMS) for rapid prototyping and integration with data science libraries
• Workflow systems - integration with Nextflow, Snakemake, and KNIME
• Scalable environments - optimized for desktop use, HPC clusters, and cloud deployments

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Key Features

OpenMS is:

• Open and interoperable - using HUPO-PSI open-standard file formats for maximum compatibility
• Accessible - with modern documentation and Python support
• Scalable - from single-PC use to cloud-based pipelines
• Community-driven - built by 150+ contributors worldwide, openly available on GitHub under a permissive BSD license

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In short, OpenMS empowers researchers to perform cutting-edge, reproducible MS data analysis - from individual experiments to large-scale, automated pipelines.