explainable 1.2.1

Visualise complex data structures in real time

Explainable

Explainable is a project for real time visualisation of complex data structures with minimal effort.
This project was created by Numan Team.
Visualisation runs on our website, so you only need install the library and initialise it in your code.

Installation

pip install -U explainable

Usage

1. Install using pip
2. Import the library in your code
3. Write a drawing function that returns a Graph object
4. Add explainable.init(<draw_func>) in your code to start the server
5. Add context using explainable.add_context() in your code
6. Go to https://explainable.numan.ai/

import time

import explainable


def draw(cm: explainable.ContextManager):
    ctx = cm.get("my_var", default=0)

    return explainable.Graph([
        explainable.TextNode(f"My var: {ctx}"),
    ], edges=[])


explainable.init(draw)
explainable.add_context()

my_var = 1

while True:
    my_var += 1
    time.sleep(0.5)

Requirements

Python 3.7 or higher.