Eve VS nbviewer.org

There's also https://github.com/mech-lang/mech . That too seems to be getting close to hiatus. It's a bit of a shame since it seems like quite a nice paradigm for some stuff like GUIs, interactive stuff, and discrete event simulation, but I suppose the paradigm is both a bit obscure and different enough from everything else that it becomes a "boil the ocean" situation where one or a few people try and hack away... - Source: Hacker News / about 1 month ago

Interesting perspective. It reminds me of Eve [1], which was all the rage over here a few years ago. [1] https://witheve.com/. - Source: Hacker News / 10 months ago

You can read more about it here: http://witheve.com. Source: about 1 year ago

I helped with the Eve language, which was an attempt down this path (https://witheve.com) After that project ended I started working on my own attempt (https://GitHub.com/mech-lang/mech). Someone else posted a link to futureofcoding.org, which is a community that works on these types of projects. You can find a lot more there. - Source: Hacker News / over 1 year ago

Some langs have been made more or less like this (ex: http://witheve.com). Source: almost 2 years ago

Example notebooks are included in the repo and can be previewed using nbviewer:. Source: over 1 year ago

Nbviewer (https://nbviewer.org/): very easy to use for smaller jupyter notebook that does not require heavy rendering. Source: over 1 year ago

Nbconvert renders everything exactly as it looks in your notebook app into a read-only HTML version and is what GitHub uses for notebooks. Interactive plots from Bokeh, Holoviews, etc can still work if you trust the JS, and since editing notebooks while showing them during a meeting usually doesn't go well, read-only is probably good enough (eager to hear feedback on this point though). The nice thing is that... Source: over 1 year ago

Just as a heads up, I used plotly to generate a lot of the charts, so you'll need to view it from an nbviewer like nbviewer.org. Source: about 2 years ago

I used a lot of plotly not knowing that Github wouldn't show it, so you'll need notebook viewer like nbviewer.org to see some of the charts. Source: about 2 years ago