I've been try to get the utils.make_index function to work in Quantstats. First, I cannot get the rebalance parameter to work. Leaving the default value gives an error, so I have to set it to 'None'. The error message:
File "C:\Users\Techie\PycharmProjects\StockAnalysis\venv\Lib\site-packages\quantstats\utils.py", line 400, in make_index
return index[index.index <= last_day].sum(axis=1)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Second, when I set rebalance='None', it will work. But, when I run the reports.html function I get CAGR results that are very different from Portfolio Visualizer. Is there another parameter I need to tweak to match up with PV? Here is my code:

import matplotlib
import quantstats as qs
matplotlib.use('Agg')

qs.extend_pandas()

symbols = {
'SPY': 0.40,
'IEF': 0.40,
'TLT': 0.20
}

port = qs.utils.make_index(symbols, rebalance=None)
qs.reports.html(port, benchmark='SPY', title='Strategy vs. SPY', output='port.html')

Here is a link to the same portfolio when run in Portfolio Visualizer: https://tinyurl.com/2mbsvp4c
I realize PV does it monthly but I'm off by almost 5%. Plus, I cannot do monthly in Quantstats due to the error above on rebalance.
The results vary by quite a bit. I'm adding a screenshot of the results for the Quantstats run. Maybe I have something wrong?

Thanks!