Based on our record, Jupyter seems to be a lot more popular than Eve. While we know about 205 links to Jupyter, we've tracked only 7 mentions of Eve. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
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
JupyterLab: JupyterLab is an interactive development environment that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It's particularly well-suited for data science and research-oriented projects. - Source: dev.to / about 17 hours ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / 12 days ago
Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python. - Source: dev.to / 7 days ago
Jupyter Notebooks is very popular among data people specially Python users. So, I tried to find a way to run the Groovy kernel inside a Jupyter Notebook, and to my surprise, I found a way, BeakerX! - Source: dev.to / about 2 months ago
Note. Nowadays, there are many flavors of notebooks (Jupyter, VSCode, Databricks, etc.), but they’re all built on top of IPython. Therefore, the Magics developed should be reusable across environments. - Source: dev.to / about 2 months ago
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