I don’t really know python that well, but do know that you need to specify your dependences for the monday-code to build correctly.

The AI suggests this:

Using Pandas in a monday.com app with Buildpacks

Since monday.com app uses Buildpacks for containerization, here’s how to properly include pandas in your deployment:

1. Explicit Dependency Declaration

Buildpacks automatically detect and install dependencies when they’re properly declared:

1. 
   

   Create/update requirements.txt in your project root:

   
   

   pandas==2.1.3
   
   numpy==1.26.0           # pandas dependency
   
   python-dateutil==2.8.2  # another pandas dependency
   
   

   
   


2. 
   

   Add a runtime.txt to specify your Python version:

   
   

   python-3.10.8
   
   

   
   

2. Project Structure

Ensure your project has this basic structure:

your-app/

├── app/              # Your main application code

│   ├── __init__.py

│   └── main.py       # Entry point

├── requirements.txt  # Python dependencies

├── runtime.txt       # Python version

└── Procfile          # (Optional) if needed by Monday.com

3. Verification

Add this to your code to verify the environment:

import sys

import subprocess



def log_environment():

    print(f"Python version: {sys.version}")

    print("Installed packages:")

    subprocess.run(n"pip", "list"])

4. Deployment Checklist

1. 
   

   Test locally first:

   
   

   docker build -t monday-app .
   
   docker run -it monday-app python -c "import pandas; print(pandas.__version__)"
   
   

   
   


2. 
   

   Check monday.com’s build logs for dependency installation messages.

   
   

That was it. Thanks @dvdsmpsn!