Skip to main content
Help the Python Software Foundation raise $60,000 USD by December 31st!  Building the PSF Q4 Fundraiser

A Python Wrapper for the NAIF CSPICE Toolkit

Project description

SpiceyPy is a Python wrapper for the NAIF C SPICE Toolkit (N66), written using ctypes.

Continuous Integration Code Coverage Docs Chat Citation Code Style
Travis - Build Status Appveyor - Build Status Codecov - Test Coverage Readthedocs - Documentation Gitter - Chat room Citation Information: Zenodo Citation Information: Journal of Open Source Software Code Style - Black


SpiceyPy is a python wrapper for the SPICE Toolkit. SPICE is an essential tool for scientists and engineers alike in the planetary science field for Solar System Geometry. Please visit the NAIF website for more details about SPICE.

IMPORTANT: I have no current affiliation with NASA, NAIF, or JPL. The code is provided “as is”, use at your own risk. However, the NAIF now distributes python “lessons” that use SpiceyPy as the python to spice interface.

Citing SpiceyPy

If you are publishing work that uses SpiceyPy, please cite SpiceyPy and the SPICE toolkit.

SpiceyPy can be cited using the JOSS DOI ( or with the following:
Annex et al., (2020). SpiceyPy: a Pythonic Wrapper for the SPICE Toolkit. Journal of Open Source Software, 5(46), 2050,
Instructions for how to cite the SPICE Toolkit are available on the NAIF website:
To cite information about SpiceyPy usage statistics, please cite my 2017 and or 2019 abstracts as appropriate below:
  1. 2017 abstract:
  2. 2019 abstract:


PyPI Conda Forge
PyPI - python package index Conda - conda-forge feedstock for SpiceyPy

SpiceyPy can be installed using pip by running: pip install spiceypy

Anaconda users should use the conda-forge distribution of SpiceyPy by running:

conda config --add channels conda-forge

conda install spiceypy

If you wish to install spiceypy from source first download or clone the project. Then run python install. To uninstall run pip uninstall spiceypy.


The SpiceyPy docs are available at: The documentation for SpiceyPy is intentionally abridged so as to utilize the excellent documentation provided by the NAIF. Please refer to C and IDL documentation available on the NAIF website for in-depth explanations. Each function docstring has a link to the corresponding C function in the NAIF docs at a minimum. SpiceyPy documentation contains the NAIF authored Lessons for step-by-step tutorials with code examples.

How to Help

Feedback is always welcomed, if you discover that a function is not working as expected, submit an issue detailing how to reproduce the problem. If you utilize SpiceyPy frequently please consider contributing to the project by citing me using the zenodo DOI above.

Known Working Environments:

SpicyPy is compatible with modern Linux, Mac, and Windows environments. Since the package is a wrapper, any environment not supported by the NAIF is similarly not supported by SpiceyPy. If you run into issues with your system please submit an issue with details. Please note that support for Python minor versions are generally phased out as newer versions are released.

  • OS: OS X, Linux, Windows
  • CPU: 64bit only!
  • Python 3.6, 3.7, 3.8
  • Support for Python 2.7 ended with version 2.3.2 January 2020 *


DaRasch wrote spiceminer, which I looked at to get SpiceCells working, thanks!

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for spiceypy, version 3.1.1
Filename, size File type Python version Upload date Hashes
Filename, size spiceypy-3.1.1-cp36-none-win_amd64.whl (1.3 MB) File type Wheel Python version cp36 Upload date Hashes View
Filename, size spiceypy-3.1.1-cp37-none-win_amd64.whl (1.3 MB) File type Wheel Python version cp37 Upload date Hashes View
Filename, size spiceypy-3.1.1-cp38-none-win_amd64.whl (1.3 MB) File type Wheel Python version cp38 Upload date Hashes View
Filename, size spiceypy-3.1.1.tar.gz (262.7 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page