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Mass spectrometry data platform

Accelerate scientific discoveries.

mzmine processes LC-MS, GC-MS, ion mobility, direct infusion, and MS imaging data in one platform: thousands of samples in minutes, securely inside your own environment.

No cloud upload required · 30-day trial · Vendor and open file formats

20+
Years of MS data processing
7,000+
Peer-reviewed citations
20,000+
Active users worldwide
<1 s
To process a single file

Why mzmine

One platform instead of five disconnected tools.

Most labs stitch together vendor software, scripts and spreadsheets to cover their data analysis needs. mzmine replaces that chain with a single platform, covering every modality, from raw file to scientific insights.

Every modality, one feature table

LC-MS, GC-MS, ion mobility, direct infusion and MS imaging in a single interface. One alignment, one result, no export-reimport loops between vendor tools.

From raw data to molecular structure

Calibration, feature finding, deconvolution, alignment, ion identity networking and annotation are built in. Results arrive with structures attached, not just m/z values.

Unprecedented speed and throughput

Batch-process hundreds of files in the time a single run used to take. Semi-automated, reproducible pipelines that a technician can launch and a reviewer can audit.

The platform

Best-practice workflows, not a blank canvas.

The mzio team has funneled 20 years of mass spectrometry data processing experience into mzmine. Every module ships with default settings, so a new user gets a publication-grade result on day one, and an expert can still customise every parameter.

mzmine 4 · v4.9
The mzmine interface: an ion mobility feature map, chromatographic peak shapes, MS1 and MS2 spectra, a compound-quality panel and the aligned feature table.

mzwizard

Guided setup that builds a complete batch from your instrument and study design.

Interactive dashboards

Inspect any feature back to the raw scan, without leaving the result table.

Library management

Build, version and share in-house spectral libraries across the whole lab.

Vendor and open formats

Native readers for all major vendors and open formats with no conversion step.

Data sovereignty

Your data never leaves your environment.

mzmine runs on your hardware, behind your firewall. No upload, no vendor cloud, no third-party processing agreement to negotiate, which is exactly why central analytics departments in regulated industries can adopt it.

On-premise by default

Desktop, workstation or your own compute cluster. Air-gapped installations supported.

IP and compliance safe

Proprietary structures and unpublished results stay inside your internal environment.

Non-disruptive updates

Stable release channel so a validated workflow keeps producing the same answer.

Customers

What central analytics teams actually report back.

“As a central analytics department, we analyze a wide variety of highly complex samples. mzmine PRO has become an important part of our analytical toolbox because it allows us to keep all data fully within our internal environment, ensuring the highest levels of data security, IP protection, and regulatory compliance. With ongoing improvements and a non disruptive update approach, mzmine PRO provides a stable platform that meets our current research needs.”
Dr. Catharina Erbacher
Dr. Catharina Erbacher
Lab Team Leader LC-MS · BASF SE, Germany
“Merck KGaA in Darmstadt is home to a Central Analytics department working with highly complex LC-UV-HRMS data. Much of this work revolves around Extractables and Leachables studies, where large numbers of samples need to be processed quickly, consistently, and with a link between UV and MS information. That combination used to be a real bottleneck. mzmine PRO gave us a way out. Today we run semi-automated standardized workflows across more than 200 files and multiple acquisition modes, with UV and MS features correlated and aligned in a fraction of the time it used to take. The open vendor format, integrated library management system and interactive dashboard have made mzmine PRO an indispensable part of our analytical toolbox.”
Dr. Jasjot Singh
Dr. Jasjot Singh
Senior Manager, Head of LC-MS Quant. Small Molecule & Bioanalytics · Merck KGaA, Germany
“At Novonesis, a global leader in biotechnology, we have been leveraging mzmine PRO for semi-automated processing of both high- and low-resolution mass spectrometry data across a wide range of research applications. The platform’s speed, flexibility, and intuitive interface have significantly enhanced our analytical workflows. Our collaboration with the mzio development team has been exceptionally agile, with rapid turnaround from concept to implementation, enabling us to accelerate innovation and streamline critical processes.”
Steen Buskov, PhD
Steen Buskov, PhD
Senior Department Manager · Novonesis, Denmark

Read all the customer stories →

Plans

Free for science. Scaled for industry.

mzmine stays open and free for academic research. Commercial plans add support, integration and the features regulated labs need.

COMMUNITY

Download now and register for our academic program

  • Academic program only
  • GitHub Forum support
  • Unlimited updates
  • Contribute to our open-source code base
  • Commercial use
For students and teachers
Download now
CORE

Unlock the potential of mzmine for your lab

  • 30-day trial
  • Unlimited updates
  • Commercial use
  • Email support
  • IT integration
  • Early feature access
For small teams up to 3 users
Get in touch
PLUS

Accelerate your lab's discoveries

  • Everything in CORE
  • Email support
  • Onboarding session
  • IT integration
  • MRM support
  • Early feature access
For labs up to 5 users
Get in touch

Science

Peer-reviewed, not just marketed.

mzmine is developed in the open with the scientific community. The methods behind it are published, cited and independently validated, and the source code is on GitHub for anyone to inspect, extend or contribute to.

2023
Integrative analysis of multimodal mass spectrometry data in MZmine 3 (opens in a new tab)
Schmid et al. · Nature Biotechnology 41, 447–449
The methods paper for the platform itself. Cite this one if you cite only one.
2026
Self-supervised learning of molecular representations from millions of tandem mass spectra using DreaMS (opens in a new tab)
Bushuiev et al. · Nature Biotechnology 44, 630–640
A foundation model for MS2 spectra, trained on millions of unannotated spectra.
2025
MSnLib: efficient generation of open multi-stage fragmentation mass spectral libraries (opens in a new tab)
Brungs, Schmid, Heuckeroth et al. · Nature Methods 22, 2028–2031
How the in-house libraries are built, and why an MSn library beats a flat MS2 one.
2025
Rapid MALDI-MS/MS-Based Profiling of Lipid A Species from Gram-Negative Bacteria Utilizing Trapped Ion Mobility Spectrometry and mzmine (opens in a new tab)
Rudt et al. · Analytical Chemistry 97, 7781–7788
Applied work from the mzio team, with Heuckeroth, Schmid, Pluskal and Korf as co-authors.
2023
On-tissue dataset-dependent MALDI-TIMS-MS2 bioimaging (opens in a new tab)
Heuckeroth et al. · Nature Communications 14, 7495
SIMSEF: systematic on-tissue MS2 acquisition.
2021
Ion identity molecular networking for mass spectrometry-based metabolomics in the GNPS environment (opens in a new tab)
Schmid et al. · Nature Communications 12, 3832
Resolves adducts and in-source fragments into single molecular identities.
2020
Feature-based molecular networking in the GNPS analysis environment (opens in a new tab)
Nothias, Petras, Schmid et al. · Nature Methods 17, 905–908
The networking method the drug discovery and dereplication workflows rest on.
2020
Expanding the Kendrick Mass Plot Toolbox in MZmine 2 to Enable Rapid Polymer Characterization in Liquid Chromatography-Mass Spectrometry Data Sets (opens in a new tab)
Korf, Fouquet, Schmid et al. · Analytical Chemistry 92, 628–633
The Kendrick toolbox behind the PFAS and polymers workflow.
2019
Lipid Species Annotation at Double Bond Position Level with Custom Databases by Extension of the MZmine 2 Open-Source Software Package (opens in a new tab)
Korf, Jeck, Schmid et al. · Analytical Chemistry 91, 5098–5105
Custom lipid classes and double-bond-position annotation, the basis of the lipidomics rules.
2018
Three-dimensional Kendrick mass plots as a tool for graphical lipid identification (opens in a new tab)
Korf, Vosse, Schmid et al. · Rapid Communications in Mass Spectrometry 32, 981–991
The original Kendrick mass defect work these tools grew out of.

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Ready to accelerate your lab’s discoveries?

Tell us about your instruments and sample load. We will show you the workflow on your own data, and give you a quote for the plan that fits.

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