UniDecImporter
UniDecImporter is a standalone Python package for reading mass-spectrometry data into NumPy arrays. It was extracted from UniDec, but has no runtime dependency on UniDec or IsoDec.
The same high-level API covers single spectra, LC-MS, CD-MS, and ion-mobility MS:
from UniDecImporter import get_importer
with get_importer("run.mzML") as reader:
spectrum = reader.get_avg_scan(time_range=(2.0, 2.5))
tic = reader.get_tic()
Installation
python -m pip install UniDecImporter
For Thermo RAW support on Windows x86-64, install the optional bridge too:
python -m pip install "UniDecImporter[thermo]"
Python 3.10–3.13 is supported on Windows, macOS, and Linux. Open formats work on all three operating systems. The package includes Windows-only Thermo .NET assemblies as data files, but importing and using open-format readers does not load them.
Thermo proprietary software: Installing or using the bundled Thermo RawFileReader assemblies means you accept Thermo's separate license, included in the distribution. End users may not redistribute those assemblies. Commercial exploitation requires Thermo's prior written consent. The BSD license covers this project's Python code, not the Thermo binaries. See
THERMO_RAWFILEREADER_TERMS.md.RawFileReader reading tool. Copyright © 2016 by Thermo Fisher Scientific, Inc. All rights reserved.
Format support
| Format | Data types | Platforms | Reader dependency |
|---|---|---|---|
| mzML, indexed mzML.gz | LC-MS, MS/MS, CD-MS, IM-MS | Windows, macOS, Linux | pymzML |
| mzXML | LC-MS, MS/MS, CD-MS | Windows, macOS, Linux | pyteomics |
| TXT, DAT, CSV | Single scan, CD-MS, IM-MS | Windows, macOS, Linux | NumPy |
| NPZ, BIN | Single scan, CD-MS | Windows, macOS, Linux | NumPy |
| I2MS, DMT | CD-MS | Windows, macOS, Linux | Python sqlite3 |
| Thermo RAW | LC-MS, MS/MS, CD-MS | Windows x86-64 only | Thermo RawFileReader + pythonnet |
| Waters RAW directory | LC-MS, IM-MS | Windows x86-64 only | Waters MassLynx SDK |
Agilent .d |
LC-MS, MS/MS | Windows x86-64 only | Agilent MassHunter Data Access SDK + pythonnet |
NPZ single-scan files must contain an array named data. Numeric arrays load without
pickle support. Legacy CD-MS files with object-backed data arrays are also supported,
but emit a warning because they require pickle deserialization; load those files only
from trusted sources.
The four Thermo RawFileReader assemblies are bundled under their separate proprietary
terms. Waters and Agilent SDK licenses do not permit this project to redistribute those
binaries, so users must obtain them separately. Set THERMO_RAW_FILE_READER_DIR to
override the bundled Thermo assembly directory, MASSLYNX_RAW_DLL to a licensed Waters
DLL, or AGILENT_DA_SDK_DIR to a licensed Agilent Data Access assembly directory.
Unsupported platforms and missing runtimes raise VendorReaderUnavailableError with an
actionable message.
Core API
get_importer(file_path, **options) inspects the path and returns the appropriate
reader. file_path may be a string or path-like object; options are passed to the
format-specific reader. Unknown extensions raise UnsupportedFormatError, while an
unavailable proprietary SDK or platform raises VendorReaderUnavailableError.
All readers inherit from UniDecImporter.Importer.Importer. They expose scans
(ordered scan identifiers), times (retention times in minutes), levels (MS order
when available), and an inclusive scan_range. Ordinary spectra and chromatograms are
NumPy N x 2 arrays. Specialized return shapes are noted below.
Spectrum access
| Method | Description |
|---|---|
get_single_scan(scan) |
Return one spectrum as N x 2 (m/z, intensity). |
get_all_scans() |
Load and return all spectra as a list in scan order. |
get_avg_scan(scan_range=None, time_range=None) |
Merge spectra over an inclusive scan range or a retention-time range. Reader implementations may use a streaming path for large files. |
avg_fast(scan_range=None, time_range=None) |
Merge spectra through the shared cached-data implementation used by format readers. Most applications should call get_avg_scan. |
get_mz_localmax(mz, mz_tol) |
Find each scan's local peak near mz; mz_tol is in ppm. Return (m/z, intensity) rows and omit scans with no peak. |
Supplying time_range selects the nearest endpoint scans and takes precedence over a
simultaneously supplied scan_range. With neither argument, averaging uses the full
reader range.
Scan metadata and coordinate conversion
| Method | Description |
|---|---|
get_polarity(scan=None) |
Return "Positive", "Negative", or a reader-specific unknown value. |
get_ms_order(scan=1) |
Return the scan's MS level; readers without level metadata default to 1. |
get_max_scan() |
Return the final scan identifier. |
get_max_time() |
Return the final retention time in minutes. |
get_scan_index(scan) |
Convert a scan identifier to its array index. Identifiers outside the available range clamp to the first or last index. |
get_scan_time(scan) |
Return the retention time for a scan identifier. |
get_time_scan(time) |
Return the scan identifier nearest to a retention time in minutes. |
get_scans_from_times(time_range) |
Convert two retention times to an inclusive pair of scan identifiers. |
get_times_from_scans(scan_range) |
Return [start, midpoint, end] retention times for an inclusive scan range. |
scan_range_from_inputs(scan_range=None, time_range=None) |
Resolve either selection form and clamp it to the available scans. This is primarily useful to reader implementers. |
check_centroided() |
Estimate centroid/profile status from the first selected scan using a lag-one autocorrelation heuristic and update reader.centroided. |
Chromatograms
These methods require reader.chrom_support:
| Method | Description |
|---|---|
get_tic() |
Return the total-ion chromatogram as N x 2 (retention time, intensity). |
index_scans(min_mz, bin_width) |
Build or replace the in-memory MS1 peak index used for extracted-ion chromatograms. |
get_eic(mass, mz_tol, rt_range=None) |
Return an extracted-ion chromatogram around mass; mz_tol is an absolute m/z tolerance and rt_range is optional. The default index is built automatically on first use. |
CD-MS and ion mobility
Check reader.cdms_support and reader.imms_support before calling these methods:
| Method | Description |
|---|---|
get_cdms_data(scan_range=None) |
Return an N x 5 array: m/z, intensity, scan, inverse injection time, and retention time. Some readers override the base metadata defaults. |
get_imms_scan(scan) |
Return one ion-mobility scan as N x 3 (m/z, drift time, intensity). |
get_all_imms_scans() |
Load all ion-mobility scans in scan order. |
get_imms_avg_scan(scan_range=None, time_range=None, mzbins=1) |
Merge selected mobility scans into an N x 3 array. mzbins sets the linear m/z bin width; a false-like value requests automatic spacing. |
Calling an unsupported specialized method raises NotImplementedError.
Construction and resource management
Importer.__init__(file_path, **kwargs) initializes the shared state, but applications
should construct readers through get_importer. close() releases open files, database
connections, or vendor handles; the base implementation is a no-op. __enter__() and
__exit__() provide context-manager support, call close() on exit, and do not suppress
exceptions. Prefer with whenever practical:
with get_importer("run.mzML") as reader:
data = reader.get_avg_scan()
For a two-column single spectrum:
from UniDecImporter import get_importer
reader = get_importer("spectrum.csv")
data = reader.get_avg_scan()
assert data.shape[1] == 2
For CD-MS:
with get_importer("ions.dmt") as reader:
events = reader.get_cdms_data()
mz, intensity, scan, inverse_injection_time, time = events.T
Development
Large test fixtures use Git LFS:
git clone https://github.com/michaelmarty/UniDecImporter.git
cd UniDecImporter
git lfs pull
python -m pip install -e ".[test]"
python -m pytest
The suite includes fast numerical/unit tests, cross-platform integration tests against the bundled open formats, and separately marked Windows vendor tests:
python -m pytest -m "not integration and not vendor"
python -m pytest -m "integration and not vendor"
python -m pytest -m vendor
See the documentation,
PUBLISHING.md, and THIRD_PARTY_NOTICES.md
for full details.
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