Skip to content
Laboratory data manipulation made easy.
Jupyter Notebook
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.


Type Name Latest commit message Commit time
Failed to load latest commit information.
binder Change environment name. Feb 22, 2020
modules Removed output files. Oct 29, 2019
.zenodo.json Updated to valid .json file. Oct 30, 2019
CallistoLab-Lite.ipynb Solved issue with selected points when sent to export module. Oct 30, 2019 First version of GPLv3 license file. Oct 23, 2019 Add link to v2.0 beta on Binder. Feb 10, 2020
___CallistoLab-Lite-2.0.ipynb Remove fileupload from imports. Feb 23, 2020
callistolab-requirements.txt First commit of callistolab-requirements.txt. Feb 23, 2020



A tool aimed for a satisfactory learning experience at the many times never-ending, long void, and tale-telling sessions at the Introductory Physics Laboratory.

CallistoLab was born from the frustration produced by the software commonly used in science laboratories. Having to introduce your data multiple times because the program that you use to analyse it doesn't allow you to export it in a markup language, exporting your plots in a shameful 96 DPI or having to spend hours programming your plots in Python has finished.

CallistoLab allows you to open your data directly from a CSV file or to introduce it filling a blank chart. Then, after you worked with it, you can export it to both CSV or Latex.

CallistoLab gives you the opportunity to interact with your data in a new way. You can calculate regressions easily, seeing how every point of your data affects the regression curve. You can also simulate what changes in your experiment would produce better results by interacting directly with the points in the figure.

Once you have finished, you can export your plot to PDF or PNG format in 300 DPI.

CallistoLab Lite

CallistoLab Lite is a reduced version of CallistoLab, which aims to be a usefull plotting tool. In this version, everything relative to simulations have been taken out simplifying the interface and improving the performance.

Try it now here

You can test the beta version of CallistoLab Lite v2.0 here:

CallistoLab Lite v2.0 (beta)


This package depends on the following packages:

  • qgrid
  • appmode
  • bqplot(=0.11.2)
  • scikit-learn
  • scipy
  • numpy
  • matplotlib
  • fileupload
  • jupyterlab_latex

Cite as

Gabirondo-López, Jon, & Igartua, Josu M. (2019, October 30). jongablop/CallistoLab: 1.1 (Version v1.1). Zenodo.

You can’t perform that action at this time.