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Based on our record, HomeBank should be more popular than datarobot. It has been mentiond 9 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Another app that works pretty well is the free one called HomeBank available at: http://homebank.free.fr/ It only works on desktop or laptop computers - Windows, Mac, and Linux. Source: about 1 year ago
I tried to download and try Homebank (http://homebank.free.fr/) but Microsoft Defender SmartScreen through a fit due to "unknown publisher" and in virustotal the installer was flagged by 3 vendors (Bkav Pro, Gridinsoft (no cloud),Elastic) Probably false positives as it seems to be open source, but not sure if I want to risk it. Source: about 1 year ago
I use HomeBank [1] because I find the UI a lot simpler than GnuCash and importing mostly just works, with pretty good automatic category assignment that lets you use regular expressions. The only quirk is that one of my accounts uses a non-standard ordering for its csv file which needs fixing before HomeBank will accept it since the import UI is limited. I also find that it is useful to track the database file... - Source: Hacker News / almost 2 years ago
I used to use HomeBank (http://homebank.free.fr), now just a LibreOffice spreadsheet. I think for personal finances, it's perfectly fine to just record monthly total expenses as a bulk sum, for each account. Unless 'something's off' (i.e. My family has spent too little or too much) it's okay to not know all the expense items. - Source: Hacker News / about 2 years ago
What is a good desktop-first budgeting application? I've been using Homebank[1] for a few years now but I'm open to suggestions. [1]: http://homebank.free.fr/. - Source: Hacker News / about 2 years ago
To predict what we would have expected, we used the models and approach we developed to predict the knockout stage of the Champions League using data provided by Data Sports Group. We used DataRobot’s models to predict which team would win each match to simulate the final nine matchdays 10,000 times. For each team, we calculated the average number of wins, draws and losses over those 10,000 seasons to build an... Source: over 1 year ago
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