Skip to main content


SpectroChemPy

Tests Actions Status codecov Conda PyPI version Documentation DOI Conda

What is SpectroChemPy?

SpectroChemPy (SCPy) is a framework for processing, analyzing, and modeling spectroscopic data for chemistry with Python. It is cross-platform (Linux, Windows, macOS) and combines a lightweight scientific core with optional plugins for domain-specific workflows.

Its central object, NDDataset, provides numerical data together with coordinates, units, masks, labels, history, and metadata, making it easier to build reproducible spectroscopy workflows in Python.

The history records participating operations on a dataset. It is inspectable, but it is not a complete provenance record; reproducibility also requires the originating script or notebook, inputs, environment, and parameters.

Key Features

  • Core Data Structure: NDDataset with coordinates, units, masks, labels, history, and metadata
  • Project Management: Organize and manipulate multiple datasets within a Project
  • Data Processing:
    • Unit-aware mathematical operations
    • Baseline correction, automatic subtraction, interpolation, FFT workflows
    • Core processing with plugin-specific extensions where appropriate
  • Analysis Tools:
    • SVD, PCA, MCR-ALS, EFA, PLS, fitting, and related result objects
  • I/O and Interoperability:
    • Import from major spectroscopy and scientific data formats
    • Export to lightweight interchange formats such as CSV, JCAMP-DX, and minimal MATLAB .mat exchange files
    • Portable NDDataset ↔ xarray.Dataset ↔ NetCDF round-trips for the maintained portable subset
    • Safe native .scp / .pscp persistence by default, with explicit legacy opt-in only for historical trusted archives
  • Plugin System:
    • Automatic discovery of optional plugins
    • Namespaced APIs: scp.nmr.read_topspin(...), scp.iris.IRIS()
    • Dataset accessors for plugin-bound operations

Installation

The recommended way to install SpectroChemPy is with uv:

curl -LsSf https://astral.sh/uv/install.sh | sh   # if uv is not installed
uv venv scpy --python 3.13
source scpy/bin/activate
uv pip install spectrochempy

Alternatively, with mamba / conda:

mamba install -c spectrocat -c conda-forge spectrochempy

Or with pip:

pip install spectrochempy

See the full installation guide for platform-specific instructions, optional dependencies, and development setup.

Official Plugins

Extend SpectroChemPy with official plugins (installed separately):

Plugin Install What it provides
spectrochempy-carroucell uv pip install spectrochempy-carroucell Carroucell experiment reader
spectrochempy-hypercomplex uv pip install spectrochempy-hypercomplex Quaternion / hypercomplex support
spectrochempy-iris uv pip install spectrochempy-iris 2D-IRIS analysis tools
spectrochempy-nmr uv pip install spectrochempy-nmr Bruker TopSpin reader, NMR-specific processing
spectrochempy-perkinelmer uv pip install spectrochempy-perkinelmer PerkinElmer .sp IR file reader
spectrochempy-tensor uv pip install spectrochempy-tensor Tensor learning tools

pip install works as well if you are not using uv.

Plugins are also available via conda from the spectrocat channel:

mamba install -c spectrocat -c conda-forge spectrochempy-nmr

Plugins are discovered automatically once installed — no manual loading step required.

Experimental plugins

spectrochempy-cantera is available as an experimental plugin. It is not officially supported, not included in aggregate extras, and must be installed manually:

python -m pip install spectrochempy-cantera

For contributors

If you want to contribute, start with:

Maintainer release procedures live in maintainers/. Architecture, RFCs, and roadmap discussions are maintained in the SpectroChemPy Maintainer Repository.

License

CeCILL-B FREE SOFTWARE LICENSE AGREEMENT

Metadata

Release files for spectrochempy 1.0.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for spectrochempy 1.0.0
File Size Uploaded
spectrochempy-1.0.0.tar.gz 6.0 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for spectrochempy 1.0.0
File Interpreter ABI Platform
spectrochempy-1.0.0-py3-none-any.whl Python 3 none any Details

Total release size: 6.9 MB

Release files / spectrochempy-1.0.0.tar.gz

Download URL spectrochempy-1.0.0.tar.gz
Size 6.0 MB
Tags Source
SHA-256 checksum
How to use checksums
b200f7245f71eeb0373deb0b429338ed874d676851bf386009042f7adeddf2d7
BLAKE2b-256 checksum
How to use checksums
181f70ae301eff5d3a251d84db5f30465db45d78f09f3ed512042229f2752dc4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 19, 2026.

Transparency log

Release files / spectrochempy-1.0.0-py3-none-any.whl

Download URL spectrochempy-1.0.0-py3-none-any.whl
Size 912.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
73d3358d26f7835545c2faeb096ebb5fde9a22e52a1dd470af1fe1783603511e
BLAKE2b-256 checksum
How to use checksums
9ea634ef2d4c08c296988694d21f74f5357a56d94ff8a81ae38ea57b4e1952e2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 19, 2026.

Transparency log

Release history Release notifications | RSS feed

1.1.1

2 release files

1.1.0

2 release files

This release

1.0.0 This release

2 release files

0.12.7

2 release files

0.12.6

2 release files

0.12.5

2 release files

0.12.4

2 release files

0.12.3

2 release files

0.12.2

2 release files

0.10.2

2 release files

0.10.1

2 release files

0.10.0

2 release files

0.9.3

2 release files

0.9.2

2 release files

0.9.1

2 release files

0.9.0

2 release files

0.8.4

2 release files

0.8.3

2 release files

0.8.1

2 release files

0.8.0

2 release files

0.7.2

2 release files

0.7.1

2 release files

0.7.0

2 release files

0.6.10

2 release files

0.6.9

2 release files

0.6.8

2 release files

0.6.7

2 release files

0.6.6

2 release files

0.6.5

2 release files

0.6.4

2 release files

0.6.3

2 release files

0.6.2

2 release files

0.6.1

2 release files

0.5.5

2 release files

0.5.4

2 release files

0.5.3

2 release files

0.5.1

2 release files

0.5.0

2 release files

0.4.9

2 release files

0.4.8

2 release files

0.4.7

2 release files

0.4.6

2 release files

0.4.5

2 release files

0.4.4

2 release files

0.4.3

2 release files

0.4.2

2 release files

0.4.1

2 release files

0.4.0

2 release files

0.3.3

2 release files

0.3.2

2 release files

0.3.1

2 release files

0.3.0

2 release files

0.2.23

2 release files

0.2.22

2 release files

0.1.22

2 release files

0.1.21

2 release files

0.1.20

2 release files

0.1.16

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page