As mentioned in #4 we'll use this issue to discuss further documentation issues.
Things to be done:

• Compat for docs/Project.toml (done: #7)
• Set up github page (done: #10)
• Set up CI to create docs at push to master and deploy (done: #10)

Anything else?

Edit: 25.05.2021

• stable docs for first release
• add package again to docs/Project.toml when registered

We also need to come up with a clean way of pushing pull requests to master to keep the history clean.
Seems like that two (of three) options on the Github-App doesn't work as I expect them to 🤔
Will try the last one and otherwise I won't merge anymore in the app.

We should think about whether we want this package to explicity return Plots.jl's plot-objects or to simply provide recipes that can be used by Plots.jl. If we go for the latter we only need RecipesBase.jl as a dependency - this would reduce load times significantly as the user only needs to load Plots.jl when they want to plot something. In addition this probably reduces the frequency of CompatHelper PRs due to Plots.jl.

How about a logo?

What do you think of the following?

I've also experimented with additional faces of the cube but this looks too complicated to me.

Let me know what you think about angles, stretching of 3rd dimension, colors...

What kind of data to parse

We expect time-series of observables, correlation matrices and so on but not datafiles which need to be parsed.
Provide functions for calculating observables from full set of configurations but not in one step. (provide Example workflow in docs)

Next steps

@fzierler:

• Statistics functions
• Fit methods + wrapper
• (Parallel) error propagation

@bernd1995:

• Variational analysis
• my specific fit routine
• Uncertainty handling

Additional possibilities

• Add support for arbitrary precision (BigFloat.jl, ...)
• keywords for own error propagation
• keywords for specific fit routines