At this time there are 1405513 usernames registered on Hive. A few weeks ago I saw a conversation about how often Savings of the Hive Wallet is used. I believe 
So, I came up with the hardest way possible to achieve that. I am sure there has to be easier, more efficient, and faster ways to accomplish this. The reason I say this, because the script I wrote takes a very long time. In fact, I started it on Monday and it is still running.
The goal of the project is to get all of the usernames on Hive, then get wallet balances associated with the user, and store them in an excel file. First I get the usernames by using the following lines of code:
bc = Blockchain(blockchain_instance=hive)
bc.get_all_accounts(start=starting, stop=stopping, limit=1000)
The second line is part of the for loop that gets each username one at a time. This just returns usernames in an alphabetical order starting with 'a'. Then I need to get balances for each user within a function as following:
act = Account(act_name, blockchain_instance=hive)
balances = dict(act.balances)
Afterwards, all balances are stored in excel file with columns for Hive Power, HIve Liquid, HBD Liquid, HIve in Savings, and HBD in Savings.
As I already mentioned this is probably the least efficient way of accomplishing the desired goal, as it is taking almost a week for the script to run. I think it will finish tomorrow.
Fun fact to mention that I didn't know before starting the script is that one Excel worksheet can only store 1048576 rows of data. But the amount of Hive usernames is 1405513, which is over the max limit for Excel rows. I still wanted to see what would happen when the script goes over the max limit. However, yesterday I had a brief internet interruption which stopped the script. Luckily everything it processed until then was stored in the Excel file, which was more than 800K usernames.
I was able to restart the script from where it left off. Another issue now is that, I have half of the usernames in one file, the rest in another. This won't help in sorting the amounts, and producing some sort of meaningful report. But I noticed there are a lot of accounts with 0 balance for each wallet compartments like Hive Power, Liquid Hive, Liquid HBD, Savings Hive, Saving HBD. So, I will probably programmatically remove the accounts that have zero in all and combine the remaining accounts into one excel file.
I know this could have been achieved more efficiently and a lot faster using Hive SQL. I don't know any other options. If you know a faster way of doing this, please let me know in the comments.