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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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bean-add automates some of the process of creating transactions, but it's barely interactive. It's nowhere near hledger-iadd.
Pinto is kind of interesting. It's a little more oriented toward predefining templates for your common transactions and then walking you through easily filling out those templates. I played with it for a bit, but I ended up not using it long-term. Mostly that was because it's fairly opinionated about what files it uses, and I couldn't easily fit that into my organization method.
For me, the benefits of good inventory management, the amazing front-end that is Fava, beancount-import's approach to interactive data importing, and the ability to easily write custom Python code over my records are Beancount's killer features. I can deal with a lot of other annoyances to reap those benefits.
It's possible alfred-beancount might get close to hledger-iadd's functionality. I can't tell because I don't run macOS. The screenshots look intriguing, though.
Personally, I use beancount-import to create the vast majority of my transactions from data downloaded from my financial institutions. That does leave a fair number of transactions to do by hand, though. I use Emacs for that, mostly by copying and pasting old transactions and then changing the dates and amounts. (Even there, I don't feel like beancount-mode is quite as convenient as ledger-mode, but it works well enough. beancount-mode's interactive account insertion works pretty nicely, at least.)
0Which I didn't even realize until I went to write my second example and I tested it out in isolation. I've opened a bug report, but I actually expect the core developers are more focused on the Beancount v2 to v3 rewrite at this point, so I don't expect it to be fixed anytime soon.