Search Results for "multi-system"

...Developers no longer worry about suspension, null compensation, idempotent transaction, and other tricky problems, the framework layer handles them all. Suitable for companies with the multi-language stack. Easy for go, python, php, nodejs, ruby and so forth. The only external dependence is the database server, easy to deploy, cluster, and scale horizontally. Supports TCC, SAGA, XA, and transaction messages. DTM is a distributed transaction framework that provides cross-service eventual data consistency. It provides saga, tcc, xa, 2-phase message, and outbox patterns for a variety of application scenarios. ...

...It provides a clean, modern interface where users can enter transactions, categorize expenses, and visualize financial data through dashboards, charts, and monthly summaries so that users can better understand their cash flow and spending patterns. The system supports multiple account types (such as bank accounts, cash, and digital wallets) and enables reconciliation to ensure records match actual balances. Users can set budgets, receive alerts when thresholds are approached, and generate financial reports like profit and loss statements or category breakdowns, empowering better planning and decision-making. ...

ezBookkeeping is a lightweight, self-hosted personal finance app with a user-friendly interface and powerful bookkeeping features. It helps you record daily transactions, import data from various sources, and quickly search and filter your bills. You can analyze historical data using built-in charts or perform custom queries with your own chart dimensions to better understand spending patterns and financial trends. ezBookkeeping is easy to deploy, and you can start it with just one single...

MarketStore is a database server optimized for financial time-series data. You can think of it as an extensible DataFrame service that is accessible from anywhere in your system, at higher scalability. It is designed from the ground up to address scalability issues around handling large amounts of financial market data used in algorithmic trading backtesting, charting, and analyzing price history with data spanning many years, and granularity down to tick-level for the all US equities or the exploding cryptocurrencies space. ...

Please go to http://github.com/gh-system/ghts