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Yann Büchau :nixos:

@gosha You don't know me I guess, but I have been using :hledger: #hledger for many years now. I love its flexibility, approachability, backupability, but depending on how fine-grained you want to sort your stuff, data entry and management can become quite tedious. But once you have it, it's magical to ask hledger to give you all kinds of numbers, averages or future predictions or plots [1].

You'll find nice people to talk about this here: pypi.org/project/hledger-utils

[1] pypi.org/project/hledger-utils

5 comments
Gosha

@nobodyinperson Thank you for replying! The reporting is what attracts me to it in the first place, yes... how fine-grained does it make sense to be? Does it not make sense to just import all transactions from one's banks?

Yann Büchau :nixos:

@gosha Oh definitely import everthing. With fine-grained I meant metadata, categories or cash transactions that need manual entry. You can get arbitrarily complex with this 😃

Caleb Maclennan

@gosha @nobodyinperson Of course import everything .... but then what? Do you set up a rule to match your grocery store and categorize everything to that vendor as Expenses:Groceries or do you keep your receipts and split out how much of each payment goes to Expenses:Groceries:Produce, Expenses:Groceries:Meat, Expenses:Groceries:Desert, Expenses:Groceries:Snacks, etc. The reporting you can do will depend on how granular your data entry is.

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