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Maximum likelihood analysis for fitting semi-analytical model predictions to observed astronomical transient data.

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<p align="center"><img src="logo.png" align="left" alt="MOSFiT" width="300"/></p>
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`MOSFiT` (**M**odular **O**pen-**S**ource **Fi**tter for **T**ransients) is a Python 2.7/3.x package that performs maximum likelihood analysis to fit semi-analytical model predictions to observed transient data. Data can be provided by the user, or can be pulled automatically from the [Open Supernova Catalog]( by its name, and thus the code can be used to fit *any* supernova within that database, or any database that shares the format described in the [OSC schema]( (such as the [Open TDE Catalog]( or the [Open Nova Catalog]( With the use of an optional upload flag, fits performed by users can then be uploaded back to the aforementioned catalogs.<br clear="all">

## Installation

`MOSFiT` is available on pip, and can be installed in the standard way:

pip install mosfit

To assist in the development of `MOSFiT`, the repository should be cloned from GitHub and then installed into your Python environment via the `` file:

git clone
python install

## Using MOSFiT

For detailed instructions on using MOSFiT, please see our documentation on RTD:

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