Octofitter is a Julia package for performing Bayesian inference against a wide variety of exoplanet / binary star data. You can also use Octofitter from Python using octofitterpy.

Read the tutorials and documentation here.

In addition to these documentation and tutorial pages, you can read the paper published in the Astronomical Journal (open-access).

• If you use Octofitter in your work, please cite Thompson et al

• If you use Gaia parallaxes in your work, please cite Gaia DR3 Gaia Collaboration et al. 2023

• If you use Hipparcos-GAIA proper motion anomaly, please cite Brandt 2021

• If you use example data in one of the tutorials, please cite the sources listed Brandt 2021

• If you use one of the included functions for automatically retreiving data from a public dataset, eg HARPS RVBank, please cite the source as appropriate.

• If you adopt the O'Neil et al. 2019 observable based priors, please cite O'Neil et al. 2019.

• Please also consider citing the HMC sampler backend, Xu et al 2020

• If you use RV phase folded plot, please consider citing Makie.jl Danisch & Krumbiegel, (2021).

• If you use the pairplot functionality, please cite:

@misc{Thompson2023,
  author = {William Thompson},
  title = {{PairPlots.jl} Beautiful and flexible visualizations of high dimensional data},
  year = {2023},
  howpublished = {\url{https://sefffal.github.io/PairPlots.jl/dev}},
}

For instructions, see the documentation page: