Usaspending Api

screenshot of Usaspending Api
django

Server application to serve U.S. federal spending data via a RESTful API

Overview

Setting up a development environment for the USAspending API can be intimidating, especially for those who may not be very experienced with modern software tools. However, the comprehensive instructions provided make it possible for developers to efficiently get started with this open-source project that facilitates access to federal spending data. Leveraging Docker is highly recommended to ensure a clean and manageable environment, while alternatives are also made available for users who prefer a more hands-on approach.

This API not only serves as a crucial resource for gaining insight into government spending but also reinforces the importance of transparency and accountability in public finance. The setup process is clearly outlined, allowing both seasoned developers and newcomers alike to contribute to the USAspending repository seamlessly.

Features

  • Docker Support: Simplifies application dependency management and provides a consistent development environment across multiple platforms.
  • Environment Variable Management: Uses .env files for convenient configuration management, ensuring that sensitive data doesn’t get committed to version control.
  • Repository Cloning: Easy instructions for cloning the repository, allowing developers to quickly access the codebase.
  • PostgreSQL and Elasticsearch: Requires installation of PostgreSQL and Elasticsearch, crucial for handling the data processing needs of the application.
  • Makefile Targets: Uses make to run various build, test, and run targets, simplifying the command line operations required for setup.
  • Support for Virtual Environments: Encourages the use of Python virtual environments to isolate dependencies, enhancing project maintainability.
  • Bash and Other Shell Compatibility: Works well with different Unix shell environments, ensuring flexibility for various operating systems.
django
Django

Django is a high-level Python web framework that encourages rapid development and clean, pragmatic design. It follows the model-view-controller (MVC) architectural pattern, providing an extensive set of built-in tools and conventions to streamline the creation of robust and scalable web applications.

docker
Docker

A website that uses Docker for containerization to streamline development, testing, and deployment workflows. This includes features such as containerization of dependencies, automated builds and deployments, and container orchestration to ensure scalability and availability.