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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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After this manually add new journal entries for all financial transactions that you undertake. You don't even need Beancount up and running to do this. You can use something like bean-add, if you want. If you aren't sure how to model a particular transaction, ask for help here or one of the chat rooms (as u/simonmic suggested).
Great. Well the main sticking point for me was that many of the installing commands were making me download Beancount v3 (a completely different beast made in C++) instead of Beancount v2 (the stable version which is in python). The problem is that running this command (and maybe others in the docs, I'm not sure) : sh git clone https://github.com/beancount/beancount will install the main branch of the repository which is the v3. I tried to modify the command unsuccessfully to get the v2 so I then decided to download the zip file of the v2 branch of the repo instead.
Regarding Fava, it can give you very nice report and the installation process was quite simpler. So if you are interested, once you have Beancount fully installed, just run these commands : sh pip install fava # to install it fava example.beancount # to visualize the example file with fava