BudgetPy is an open source, data analysis & prototyping tool developed in Python for Analysts in the US EPA and released under the MIT license.
- Mutliple data providers including SQLite, MS Access, and SQL Servers Express Edition through pyodbc
- Charting, plotting and reporting with matplotlib, dash, and pandas.
- Pre-defined schema for 100 environmental data tables.
- Access to editors for SQLite, MS Access, and SQL CE.
- Easily add agency/region/division-specific branding.
- SQLite is a C-language library that implements a small, fast, self-contained, high-reliability, full-featured, SQL database engine. Learn more here
- SQL Server Express Edition is a scaled down, free edition of SQL Server, which includes the core database engine. Learn more here
- MS Access is a database management system (DBMS) from Microsoft that combines the relational Access Database Engine (ACE) with a graphical user interface and software-development tools. Learn more here
- You will need these Requirements
- See the User Guide for steps to get started.
- Minion - other tools used and available in BudgetPy.
- Booger - controls for the user interface and related functionality.
- Data - data access layer with environmental budget data models.
- FileSys - classes for interacting with the file system and input/output.
- Static - enumerations used in budgetary data analysis.
- Schema - schema definitions of the BudgetPy data tables.
- Ninja- budget data model classes for environmental programs.