nimib VS application

Jupyter notebook is indeed very important. It mainly provides data scientists with two things: a literate programming environment (mixing text, code and outputs) and a way to hold state of data in memory (so that you can perform computation interactively).

As a different take to literate programming we have created a library and an ecosystem around it: https://github.com/pietroppeter/nimib

For holding state a Nim repl (which is on the roadmap as secondary priority after completing incremental compilation) is definitely an option.

Another option could be to create a library framework for caching (or be able to serialize and deserialize quickly) large data and objects. One way to see it, could be to build something similar to streamlit cache (streamlit indeed provides great interactivity)

As a reminder, at Nim Conf back in October 2022 Andreas presented Nim 2.0 in this video https://www.youtube.com/watch?v=aDi50K_Id_k&list=PLxLdEZg8DR...

Hearing again I cannot chuckle when Araq says: Nim v1 is good at everything, Nim v2 is supposed to be better at everything.

Back then it was supposed to come out in 2022 and indeed a RC1 came out in Dec. In the blogpost for RC1 you find the desciption of all new features: https://nim-lang.org/blog/2022/12/21/version-20-rc.html

This longer time is because extra care is being taken into having a smooth transitions (for example important libraries have been tested to work on nim v2, e.g. we made sure nimib was working with v2 in early Feb: https://github.com/pietroppeter/nimib/releases/tag/v0.3.6)

https://github.com/pietroppeter/nimib

Based on that and using a book theme, scinim getting started documentation is being built, e.g.:

You could use Budget with Buckets. It's free to use, but you can get a license too. Downside: it doesn't have an app (well, it does, but it's read only and sucks big time).

I use buckets https://www.budgetwithbuckets.com/

I track my balances across various sources, updating once a month. I also set my outgoings.

Funnily enough I don't really use the buckets feature too much, simply the graph over time of savings, and ability to set goals / monthly costs for review is enough.

Right now I'm testing software called Buckets, and I am liking it so far. It's a one-time payment, and the dev seems pretty cool by offering an extremely generous demo. It's kind of a hybrid between manual and automatic, with some macro import options and statement import options that can be helpful. It also has the option to import financial data automatically using SimpleFin for only a fraction of the monthly price of YNAB and Aspire. So far I'm really liking it.

Buckets - I just started to look at this app. It is very basic from what I have seen so far. And while writing this I learned the iOS app is a closed beta. Unlimited FREE trial until you determine it works for you. After that, there is a one-time fee of $49. In September the price is going up to $64.

You might look into budget with buckets

I haven't used it, but the team (person?) that makes [Buckets](https://www.budgetwithbuckets.com) makes [SimpleFIN](https://www.simplefin.org), which seems like it exposes exactly what you want: simple transaction data from arbitrary banks.

Plaid offers [transactions APIs](https://plaid.com/products/transactions/), but I guess to your point these APIs are geared towards fintech companies, not personal use.

I’ve been happy with Budget with Buckets as a YNAB alternative - https://www.budgetwithbuckets.com/