JupyterLab or Jupyter Notebooks (with extensions) would be a good choice.

It is excellent for computational physics and engineering data analysis. For heavy reaching it's perfect. You have Full control over data, integrates directly with analysis code, supports Markdown and LaTeX.But Not a formal ELN you need version control (Git) for lab record compliance.

Google Colab is also a better option.

For physics and engineering, the recommended Electronic Lab Notebooks (ELNs) vary depending on your needs for control, data type, and whether you want cloud-based or self-hosted:

• eLabFTW: Open-source, free, self-hosted, very flexible with customizable templates and file/device linking. Great if you want privacy and full control.
• Benchling: Sleek, user-friendly interface, free for academic use, supports collaboration and structured experiment tracking. Originally life-science focused but adaptable.
• Labstep: Offers experiment templates, image/data embedding, built-in calculations, and online sync. Good for detailed organization and easy data entry.
• Colabra: Combines note-taking with Git-like version control; good if you mix coding and experiments.
• SciNote: Strong in regulated environments, includes inventory management and structured workflows.
• LabArchives: Popular in universities, supports data sharing and DOI assignment.

Direct recommendation:

• For maximum freedom and control → eLabFTW
• For ease of use and quick start → Be or L
• For highly regulated or structured environments → SciNo