Skip to main content

Python modules and scripts useful for variable star work in astronomy.

Project description

This is a bunch of Python modules I wrote for my astronomy work with the HAT surveys, mostly focused on handling light curves and characterizing variable stars. Module functions that deal with light curves (e.g. in the modules astrobase.lcmath, astrobase.periodbase, astrobase.varbase, astrobase.plotbase, and astrobase.checkplot) usually just require three numpy ndarrays as input: times, mags, and errs, so they should work with any time-series data that can be represented in this form. If you have flux time series measurements, most functions take a magsarefluxes keyword argument that makes them handle flux light curves correctly.

Full documentation is still a work in progress (as soon as I figure out how Sphinx works), but the docstrings are fairly good and an overview is provided at, along with Jupyter notebooks that demonstrate some of the functionality at


Please see for the latest changelog for tagged versions.


This package requires the following other packages:

  • numpy
  • scipy
  • astropy
  • matplotlib
  • Pillow
  • jplephem
  • requests
  • tornado
  • pyeebls
  • tqdm
  • scikit-learn

For some extra functionality, you’ll need the following modules:

  • for astrobase.lcdb to work, you’ll also need psycopg2

If you’re using:

  • 64-bit Linux and Python 2.7, 3.4, 3.5, 3.6
  • 64-bit Mac OSX 10.12+ with Python 2.7 or 3.6
  • 64-bit Windows with Python 2.7 and 3.6

You can simply install astrobase with

(venv)$ pip install astrobase

Otherwise, you’ll need to make sure that a Fortran compiler and numpy are installed beforehand to compile the pyeebls package that astrobase depends on

## you'll need a Fortran compiler.                      ##
## on Linux: dnf/yum/apt install gcc gcc-gfortran       ##
## on OSX (using homebrew): brew install gcc            ##
## make sure numpy is installed first!                  ##
## this is required for the pyeebls module installation ##

(venv)$ pip install numpy # in a virtualenv
# or use dnf/yum/apt install numpy to install systemwide

Next, install astrobase

(venv)$ pip install astrobase

If you want to install all optional dependencies as well

(venv)$ pip install astrobase[all]

Or if you want the latest version

$ git clone
$ cd astrobase
$ python install
$ # or use pip install . to install requirements automatically
$ # or use pip install -e . to install in develop mode along with requirements

Project details

Download files

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

Filename, size & hash SHA256 hash help File type Python version Upload date
astrobase-0.3.2-py3-none-any.whl (772.2 kB) Copy SHA256 hash SHA256 Wheel py3
astrobase-0.3.2.tar.gz (700.9 kB) Copy SHA256 hash SHA256 Source None

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page