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specutils

Package for spectroscopic astronomical data

With conditionsPyPI LibrariesReleased Jun 202684.8K downloads / moBSD 3-ClausePure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — specutils-2.4.0-py3-none-any.whl
v2.4.0 · released 2026-06-01 · Python >=3.11 · 7 runtime deps: numpy, scipy, astropy, gwcs, asdf-astropy, asdf, ndcube

Yes, if you work with astronomical spectroscopy in Python and need standard data representations to integrate multiple tools. The package is actively maintained, has low install friction, carries no known vulnerabilities, and is part of the established Astropy ecosystem. Install it as a foundation layer rather than expecting it to be a complete analysis suite—it is explicitly designed as a toolbox for building workflows, not a turnkey solution.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.11 or later
  • Low friction installation with a pure-Python wheel.
  • Active maintenance with a recent release 74 days ago.

License · maintenance · safety

BSD 3-Clause (permissive) — BSD 3-Clause is permissive and imposes minimal restrictions; you can use, modify, and distribute specutils in commercial or proprietary projects provided you include the license notice.

last release 2026-06-01 (74 days) · last repo commit 2026-08-01 · 202 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 84,840 downloads/mo, #13,967 on PyPI

Verify before relying

pip install specutils
import specutils
# Use specutils with numpy, scipy, astropy, gwcs, asdf for spectral analysis
  • Specific spectroscopic analysis capabilities beyond basic operations and data representation
  • Performance characteristics or scalability limits for large spectral datasets
  • Compatibility with particular spectroscopy file formats or reduction pipelines
Same gist for agents: .md · .json

What it is and what it does

Specutils is an Astropy affiliated package that defines standard Python representations for astronomical spectra and provides basic tools to work with them. It is designed as a "hub" to unite the Python spectroscopy community around shared data structures and functionality, rather than as a comprehensive analysis suite. The package acts as a toolbox providing foundational pieces that can be assembled into scientific workflows or connected with other reduction pipelines and analysis tools.

The package requires Python 3.11 or later and depends on a stack of scientific libraries: numpy and scipy for numerical operations, astropy for core astronomy functionality, gwcs for world coordinate systems, and the asdf ecosystem for serialization. It is not intended to meet all possible spectroscopic analysis needs, but rather to facilitate interoperability between disparate tools through shared representations of spectroscopic data.

Use it for

  • Build custom spectroscopic analysis workflows by combining specutils data structures with domain-specific reduction pipelines
  • Connect multiple spectroscopy tools and reduction packages through standardized Python representations of spectra
  • Perform basic spectral operations on astronomical data using a shared community standard
  • Develop higher-level spectroscopy analysis applications on top of specutils' foundational representations
  • Integrate spectroscopic data from different sources into a unified Python analysis environment

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you work with astronomical spectroscopy in Python and need standard data representations to integrate multiple tools.

The package is actively maintained, has low install friction, carries no known vulnerabilities, and is part of the established Astropy ecosystem. Install it as a foundation layer rather than expecting it to be a complete analysis suite—it is explicitly designed as a toolbox for building workflows, not a turnkey solution.

Install

specutils on PyPI

Before you install

Low friction installation with a pure-Python wheel. Active maintenance with a recent release 74 days ago. Depends on established scientific packages (numpy, scipy, astropy, gwcs, asdf) that are widely used and well-maintained.

Requires Python 3.11 or later

License in practice

BSD 3-Clause is permissive and imposes minimal restrictions; you can use, modify, and distribute specutils in commercial or proprietary projects provided you include the license notice.

Quickstart

pip install specutils
import specutils
# Use specutils with numpy, scipy, astropy, gwcs, asdf for spectral analysis

Verify before relying

  • Specific spectroscopic analysis capabilities beyond basic operations and data representation
  • Performance characteristics or scalability limits for large spectral datasets
  • Compatibility with particular spectroscopy file formats or reduction pipelines

Package facts

LicenseBSD 3-Clause permissive
Python supportSupports the current Python release >=3.11
Install frictionLow. Pure-Python wheel
Runtime dependencies
7 packages
numpyscipyastropygwcsasdf-astropyasdfndcube
MaintenanceActively maintained 74 days since the last release
Last repo commit
First released
Downloads84,840 / month, #13,967 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Intended Audience :: Science/ResearchOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Topic :: Scientific/Engineering :: AstronomyTopic :: Software Development :: Libraries

Evidence: specutils-2.4.0-py3-none-any.whl

Tags

Capabilities
astronomical spectroscopy toolsspectral data analysis pythonastropy spectroscopy packagespectrum representation libraryspectroscopic data processingastronomy spectrum toolsspectral analysis framework
Topics
astronomyspectroscopyastropy-affiliated

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See also astroquery · libhreels · photutils · pyds9 · gwcs · regions · pybaselines · asdf-astropy · astropy-healpix · pymzml