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This tool helps you to manage your experimental results in a more elegant way, saving your experiment data by pickle with some high-level interfaces to save, load and preview.

Project description

This project helps you to handle your experimental results efficiently when doing your research. Basically it uses pickle to save and load the data, now we provide you with some high-level interfaces so that you can get rid of pickle dumping and loading from disk all the time. Also, with a given topic parameter when saving data, it can automatically build different directories for different topic.


This project mainly provides:

  • A class named ResultManager that provides functions to save, load, clear and preview data.
  • ResultManager.save_data: Save your data
  • ResultManager.load_data_by_name and ResultManager.load_data_by_id: Loading data by name or ID
  • ResultManager.print_meta_info Print all meta info of saved data, including name, path, topic, comments etc.

Future Plan

  • Adding support to save and load figures for each piece of data
  • Adding version control to maintain different version data
  • Adding support to automatically backup data to some cloud storage



This project is still simple, therefore no docs…


  • prettytable>=0.7.2


ResultManager is developed by Python 3.5 and only tested on Python 3.5 and Python 2.7

Project details

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