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Based on our record, Apache Cassandra should be more popular than HomeBank. It has been mentiond 42 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
Cassandra is a highly scalable, distributed NoSQL database designed to handle large amounts of data across many commodity servers without a single point of failure. - Source: dev.to / 5 days ago
Distributed storage Distributed storage systems like Cassandra, DynamoDB, and Voldemort also use consistent hashing. In these systems, data is partitioned across many servers. Consistent hashing is used to map data to the servers that store the data. When new servers are added or removed, consistent hashing minimizes the amount of data that needs to be remapped to different servers. - Source: dev.to / about 2 months ago
On the other hand, NoSQL databases are non-relational databases. They store data in flexible, JSON-like documents, key-value pairs, or wide-column stores. Examples include MongoDB, Couchbase, and Cassandra. - Source: dev.to / 3 months ago
HBase and Cassandra: Both cater to non-structured Big Data. Cassandra is geared towards scenarios requiring high availability with eventual consistency, while HBase offers strong consistency and is better suited for read-heavy applications where data consistency is paramount. - Source: dev.to / 4 months ago
Dear r/python, we are happy to present you with our first open-source project. We have managed to implement a new driver for Python that works with Apache Cassandra, ScyllaDB and AWS Keyspaces. Source: 10 months ago
GnuCash - A personal and small-business financial-accounting software, licensed under GNU/GPL and available for Linux, Windows, Mac OS X, BSD, and Solaris.
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
Mint - Free personal finance software to assist you to manage your money, financial planning, and budget planning tools. Achieve your financial goals with Mint.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
YouNeedABudget - Personal home budget software built with Four Simple Rules to help you quickly gain control of your money, get out of debt, and reach your financial goals!
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.