Based on our record, Jupyter seems to be a lot more popular than Fityk. While we know about 206 links to Jupyter, we've tracked only 2 mentions of Fityk. 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.
Process as to retrieve the interesting bits? AWK and grep. Process as in curve fitting? fityk. Process as in running statistical tests? past4. But very often, it is not an "either a), or b)" but a combination of "a) and b)". Source: over 1 year ago
On the other hand - your question does not share what you eventually intend to do - if you want to plot the PXRD recorded to perform a baseline correction, pick the peaks, export the data, etc. Fityk may be an interesting tool equally useful outside crystallography (J. Appl. Cryst. 2010, 43, 1126-1128, DOI 10.1107/S0021889810030499 with 1.8k+ citations so far.) It runs on Linux, Windows, Mac; its actions can be... Source: over 1 year ago
Interesting, I would have guessed you had used something jupyter-like: https://jupyter.org/ https://explorabl.es/all/. - Source: Hacker News / about 1 month 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 2 months ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / 2 months 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 / about 2 months 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 / 4 months ago
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