I currently have a conda environment tf_gpu and I pip installed pipreqs in it to auto generate requirements.txt Now, in my project folder, I have app.py with the imports : Also, predict uses pandas, scipy, numpy, pickle So, but the requirements.txt generated by pipreqs using pipreqs ./ inside the project folder only gets me the following: Why is python-dotenv not

Pipreqs not including all packages?

I currently have a conda environment tf_gpu and I pip installed pipreqs in it to auto generate requirements.txt

Now, in my project folder, I have app.py with the imports :

import os
from dotenv import load_dotenv
from flask import Flask, request
from predict import get_recs
import urllib.request

Also, predict uses pandas, scipy, numpy, pickle

So, but the requirements.txt generated by pipreqs using pipreqs ./ inside the project folder only gets me the following:

Flask==2.1.3
numpy==1.23.3
pandas==1.4.4
scipy==1.9.1

Why is python-dotenv not included? It isnt a standard library right? So what’s happening here?

According to the open issues in the GitHub repo, some packages don’t map well. You could try opening an issue for this package.