A web-based dashboard to analyzing your data with Python
Project description
A web-based dashboard to analyzing your data with Python
Screenshot
Installation
pip3 install boardify
Usage
from boardify import * # Class for the dashboard class FruitDashboard(BasicDashboard): def config(self): self.name = "Fruit Company" # Add Blocks to the dashboard self.add_block(Products()) self.add_block(NicestFruit()) # Block contains HTML Code class Products(BasicBlock): def config(self): self.name = "Products" self.description = "A list of our products" def data(self): return """<ul> <li>Apple</li> <li>Orange</li> <li>Banana</li> <li>Kiwifruit</li> <li>Blueberry</li> <li>Grapes</li> </ul>""" # Block renders a bar chart class NicestFruit(BasicBlock): def config(self): self.name = "Nicest Fruit" self.description = "A survey of 145 people asked them " ""Which is the nicest fruit?"" def data(self): # Define the data for the chart data = { "datasets": { "Survey One": [35, 20, 45, 10, 30, 5], "Survey Two": [30, 25, 60, 5, 35, 0], }, "labels": ["Apple", "Orange", "Banana", "Kiwifruit", "Blueberry", "Grapes"], "background_color": ["rgb(128, 18, 2)", "rgb(244, 132, 0)", "rgb(246, 221, 0)", "rgba(83, 65, 25, 0.97)", "rgb(35, 123, 214)", "rgb(99, 74, 161)"] } # Generate the bar chart return BarChart(data).generate() # Run the server dashboard = FruitDashboard() dashboard.run()
Open the dashboard at http://localhost:7000
Meta
Lucas Hild - https://lucas-hild.de
This project is licensed under the MIT License - see the LICENSE file
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