stqdm

stqdm is the simplest way to handle a progress bar in streamlit app.

How to install

pip install stqdm

How to use

You can find some examples in examples/

Use stqdm in main

from time import sleep
from stqdm import stqdm

for _ in stqdm(range(50)):
    sleep(0.5)

Use stqdm in sidebar

from time import sleep
import streamlit as st
from stqdm import stqdm

for _ in stqdm(range(50), st_container=st.sidebar):
    sleep(0.5)

Customize the bar with tqdm parameters

from time import sleep
from stqdm import stqdm

for _ in stqdm(range(50), desc="This is a slow task", mininterval=1):
    sleep(0.5)

Display a progress bar during pandas Dataframe & Series operations

STqdm inherits from tqdm, you can call stqdm.pandas() in a similar way. See tqdm docs.

from time import sleep

import pandas as pd
from stqdm import stqdm

stqdm.pandas()

pd.Series(range(50)).progress_map(lambda x: sleep(1))
pd.Dataframe({"a": range(50)}).progress_apply(lambda x: sleep(1), axis=1)

Display the progress bar only in the frontend or the backend

from time import sleep

from stqdm import stqdm

# Default to frontend only
for i in stqdm(range(50), backend=False, frontend=True):
    sleep(0.5)


for i in stqdm(range(50), backend=True, frontend=False):
    sleep(0.5)