How does this compare to the reproject package?

[cdeil]

So far I've been using the https://github.com/astrofrog/reproject package?

How does this package compare in terms of features and speed?
I think the algorithm is different, right?

I'll print the paper now and have a look soon:
http://www.aanda.org/articles/aa/full_html/2016/07/aa28475-16/aa28475-16.html

Feel free to close this issue if you don't want to investigate / discuss this.
But if you do ... as a new user that found your package more of less by chance ... I would have found a link to the paper and a short description how cygrid compares to reproject useful.

[DanielLenz]

Thanks for the feedback! I've linked the paper in the readme (dababd2).
reproject is based on interpolation.map_coordinates and hence uses a spline-interpolation, so yes, the algorithm is quite different. You can have a look at the paper for a more detailed discussion.
We're presenting some benchmarks in the paper, comparing cygrid's performance to different scipy interpolation functions. These interpolation functions are the same ones that are used in the reproject package, so that might give you an idea about the performance of the package.

[bwinkel]

Also, have a look into the Jupyter Notebook minimal.ipynb, where we compare cygrid with scipy.griddata (which is probably similar as map_coordinates). If you really just want to reproject data, it's probably fine (though slower), but for gridding (raw) data, it may not be the best solution.