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Python package with widget to simplify work with many processes in jupyter

Project description

GitHub last commit GitHub license<space><space> PyPI PyPI - Python Version


This is a library which helps working with many processes in a jupyter notebook in a very simple way.

Installation via pip:

pip install jupyter_process_manager

Usage examples

How to create create and start processes for jupyter_process_manager

from jupyter_process_manager import JupyterProcessManager
process_manager = JupyterProcessManager(".")  # "." - path where to store outputs of the processes

# And functions for processing
    func1, *func1_args,**func1_kwargs)
    func2, *func2_args,**func2_kwargs)

WARNING: Please do NOT try to use functions defined inside jupyter notebook, they won’t work.

JupyterProcessManager arguments:

  1. str_dir_for_output: Directory where to store processes outputs
  2. is_to_delete_previous_outputs=True: Flag If you want to delete outputs for all previous processes in the directory

Usage in Jupyter Notebook

After processes were added, you can check what is happening with them.


Showing the JupyterProcessManager widget won’t block execution so you can run the code in other cells


How to check output for the processes

Select the process for which you want to see the output.
Select which output you want to see.
The output will get updated every 2 seconds.

How to add more processes

You can add as many processes as you want
by running the code below in any other jupyter notebook cell
    func_new, *func_new_args,**func_new_kwargs)

How to stop a process

To stop the process, select it and press the orange button to stop it

When the button to stop the selected process is pushed.
KeyboardInterrupt Exception is called for the process
If within 5 seconds process is not finished then the process will be killed.

How to do a debug run without a new process creation

# arguments are the same as in **add_function_to_processing(...)**
process_manager.debug_run_of_1_function(func_to_process, *args, **kwargs)

Other methods available within running processes for JPM

Clear stdout output from the process

from jupyter_process_manager import clear_output

Get stdout output for the process

from jupyter_process_manager import read_stdout
stdout_content = read_stdout()

Usage in a console


You will see the output like shown below



This project is licensed under the MIT License.

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