jabref VS matplotlib

JabRef might work for you. Website link and GitHub link.

This issue https://github.com/JabRef/jabref/issues/5867 hints at JavaFX issue with the potential workaround of running with the environment variable GDK_DISPLAY=1.

I use JabRef for managing references, which allows you to generate entries via a DOI and saves to a local .bib file.

JabRef

If the town is "online reference managers," you are probably right, but I would argue that reference managers are one of those areas where you really want something offline:

- Offline ensures that you do not suffer an externally caused downtime just before a deadline

- Offline ensures that you have a path for keeping your database throughout your research career, and to do system updates when _you_ want to.

- Offline ensures that if you leave academia, you will always have access to local copies of the academic papers you have referenced.

My favorite offline/local reference manager is `jabRef` [0] which stores all metadata directly in a bibtex-file. The GUI has an excellent pdf-integration, and everything is local and super fast.

Case in point: after a decade in industry, I am looking to get back into my academic fief. All the papers I ever read are in my Dropbox, and all I had to do to pick up where I left was download a current version jabRef and point it to my database which it read without any issues.

[0]: https://www.jabref.org/

I used JabRef throughout my work. It's indeed too late for my PhD work, but Zotero does indeed look very nice.

Github: https://github.com/matplotlib/matplotlib

as suggested here.

Tool: Matplotlib Pyplot

The issue was described here: https://github.com/matplotlib/matplotlib/issues/8409, but the "solution" was just "this is fixed" which was not helpful to me.

Matplotlib: Matplotlib is a 2D plotting library that allows you to create visualizations of your data. It's a powerful tool for data analysis, but the syntax can be complex and the customization options can be overwhelming. GitHub - https://github.com/matplotlib/matplotlib

A quick google shows: this history.txt:

Let's take a small subset i.e 20 data points of our prediction and compare it with actual output using matplotlib library

I will think more about what I want to say next, but for now, I would like to say that I need the super-particles and PIC methods as I think that is the way forward for me. Are there ways to implement these methods in matplotlib, Visit or Paraview? Do I take existing code and import it into those programs to visualize it? Or can I directly program/simulate something in those visualizion tools without needing to import any code?