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A proto-typing and notebook environment for the analysis of budgetary data.

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is-leeroy-jenkins/BudgetPy

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Budget-Py

An open source data analysis & prototyping tool developed in Python for EPA analysts and released under the MIT license.

Features

  • 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.

Providers

  • 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

System requirements

Documentation

Code

  • 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.

Credits