I’m happy to announce that I have just released version 0.7.0 of the plotting package Gaston, which uses gnuplot as a backend. Its main features are:
- Focus on fast and simple plotting both on screen and in a Jupyter notebook.
- No dependencies outside of Base (except gnuplot itself); loads in a fraction of a second.
- 2D, 3D, histogram and image plots are supported, including multiple plots on the screen at the same time.
Git repo/homepage: https://github.com/mbaz/Gaston.jl
New in 0.7.0:
- Revamped user-facing interface (the old one was really clunky)
- All known bugs fixed
- Lots of refactoring to make the code shorter, simpler and more robust
Interesting fact: Gaston’s first commit was back in March 2012. It is probably one of the oldest Julia packages around. Amazingly, some of that old code is still present in the current version.
- Gaston is focused on speed and simplicity. I think plotting to the screen during data exploration should be fast and non-ugly (if possible). Once the data looks right, a publication-quality plot should be produced with appropriate tools, such as pgfplots.
- gnuplot is designed as a command-line program, so Gaston has to write commands to gnuplot’s STDIN and read results back from STDOUT and STDERR. This interface is limited by its nature; for instance, gnuplot may crash or lockup and there’s no way for Gaston to find out.
- Plot coordinates are fed to gnuplot through a file, which is written by Gaston and then read by gnuplot. This breaks down at large data sizes, a use case Gaston is not optimized for.
- Gaston is not well tested on Windows and not at all on OS-X, which are platforms I don’t have ready access to (or much interest in).
- Gaston has only one developer (me) and I have very limited time to devote to it.
Of course, bug reports, feedback, and contributions are welcome.