[🐛 BUG] Running Taipy In Notebooks Is Slow

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Introduction

Taipy is a Python framework for building data-driven applications. It provides a simple and intuitive way to create interactive web applications. However, some users have reported that running Taipy applications in Jupyter notebooks is slow. In this article, we will investigate this issue and provide a solution.

What Went Wrong?

The code provided is a simple Taipy application that creates a dynamic chart. The chart is updated in real-time as the user interacts with the slider. However, when run in a Jupyter notebook, the chart updates slowly, causing a lot of latency.

from taipy.gui import Gui
import taipy.gui.builder as tgb
from math import cos, exp

value = 10

def compute_data(decay:int)->list:
    return [cos(i/6) * exp(-i*decay/600) for i in range(100)]

def slider_moved(state):
    state.data = compute_data(state.value)

with tgb.Page() as page:
    tgb.text(value="# Taipy Getting Started", mode="md")
    tgb.text(value="Value: {value}")
    tgb.slider(value="{value}", on_change=slider_moved)
    tgb.chart(data="{data}")

data = compute_data(value)

if __name__ == "__main__":
    Gui(page=page).run(title="Dynamic chart")

Expected Behavior

The expected behavior is that the chart updates in real-time as the user interacts with the slider. However, in this case, the chart updates slowly, causing a lot of latency.

Steps to Reproduce Issue

To reproduce this issue, simply run the provided code in a Jupyter notebook. You should notice that the chart updates slowly, causing a lot of latency.

Solution Proposed

The solution to this issue is to use the taipy.gui.builder module to create the GUI components. This module provides a more efficient way to create GUI components, which should improve the performance of the application.

Screenshots

No screenshots are provided as this is a text-based issue.

Runtime Environment

The runtime environment is Windows 11.

Browsers

The browser used is Chrome.

OS

The operating system used is Windows.

Version of Taipy

The version of Taipy used is 4.0.2.

Additional Context

No additional context is provided.

Acceptance Criteria

To accept this solution, the following criteria must be met:

  • A unit test reproducing the bug is added.
  • Any new code is covered by a unit test.
  • Check code coverage is at least 90%.
  • The bug reporter validated the fix.
  • Related issue(s) in taipy-doc are created for documentation and Release Notes are updated.

Code of Conduct

The code of conduct is as follows:

  • I have checked the existing issues.
  • I am willing to work on this issue (optional).

Solution

To solve this issue, we need to use the taipy.gui.builder module to create the GUI components. We can do this by replacing the Gui class with the Page class from the taipy.gui.builder module.

Here is the updated code:

from taipy.gui.builder import Page
from math import cos, exp

value = 10

def compute_data(decay:int)->list:
    return [cos(i/6) * exp(-i*decay/600) for i in range(100)]

def slider_moved(state):
    state.data = compute_data(state.value)

with Page() as page:
    page.text(value="# Taipy Getting Started", mode="md")
    page.text(value="Value: {value}")
    page.slider(value="{value}", on_change=slider_moved)
    page.chart(data="{data}")

data = compute_data(value)

This updated code should improve the performance of the application and reduce the latency of the chart updates.

Conclusion

Q: What is the issue with running Taipy in Jupyter notebooks?

A: The issue is that the chart updates slowly, causing a lot of latency. This is due to the inefficient way of creating GUI components in Taipy.

Q: What is the cause of the slow chart updates?

A: The cause of the slow chart updates is the way Taipy creates GUI components. When run in a Jupyter notebook, Taipy uses a lot of resources to create the GUI components, which can cause the chart updates to be slow.

Q: How can I improve the performance of my Taipy application?

A: To improve the performance of your Taipy application, you can use the taipy.gui.builder module to create the GUI components. This module provides a more efficient way to create GUI components, which should improve the performance of your application.

Q: What are the benefits of using the taipy.gui.builder module?

A: The benefits of using the taipy.gui.builder module are:

  • Improved performance: The taipy.gui.builder module provides a more efficient way to create GUI components, which should improve the performance of your application.
  • Reduced latency: By using the taipy.gui.builder module, you can reduce the latency of the chart updates.
  • Better resource utilization: The taipy.gui.builder module uses fewer resources to create the GUI components, which can help to improve the overall performance of your application.

Q: How do I use the taipy.gui.builder module?

A: To use the taipy.gui.builder module, you can replace the Gui class with the Page class from the taipy.gui.builder module. Here is an example of how to use the taipy.gui.builder module:

from taipy.gui.builder import Page
from math import cos, exp

value = 10

def compute_data(decay:int)->list:
    return [cos(i/6) * exp(-i*decay/600) for i in range(100)]

def slider_moved(state):
    state.data = compute_data(state.value)

with Page() as page:
    page.text(value="# Taipy Getting Started", mode="md")
    page.text(value="Value: {value}")
    page.slider(value="{value}", on_change=slider_moved)
    page.chart(data="{data}")

data = compute_data(value)

Q: What are the system requirements for running Taipy in Jupyter notebooks?

A: The system requirements for running Taipy in Jupyter notebooks are:

  • Windows 11
  • Chrome browser
  • Taipy version 4.0.2 or later

Q: Can I use Taipy in other environments besides Jupyter notebooks?

A: Yes, you can use Taipy in other environments besides Jupyter notebooks. Taipy can be run in a variety of environments, including:

  • Local development environment
  • Cloud environment
  • Containerized environment

Q: How do I get started with Taipy?

A: To get started with Taipy, you can follow these steps:

  1. Install Taipy using pip: pip install taipy
  2. Import Taipy in your Python script: import taipy
  3. Create a Taipy application using the taipy.gui module: from taipy.gui import Gui
  4. Run the Taipy application using the run method: Gui().run()

By following these steps, you can get started with Taipy and start building your own data-driven applications.