This is a PHP Composer library containing shared code used by MaxMind's various web service client APIs, such as GeoIP2 and minFraud. It is not a standalone application; it is an internal dependency that provides a base HTTP client, request/response handling, authentication, and typed exception mapping for MaxMind web services. The README explicitly notes that the code is for internal use and that semantic versioning does not apply.
This repository provides a high-precision IP geolocation HTTP API focused on mainland China, capable of resolving IP addresses to province/city/district level using a custom GeoCN database. The server is written in Go, uses MaxMind GeoLite2 databases for ASN and city-level data, and supplements with a custom MMDB for Chinese administrative divisions. It is deployed as a single binary via Docker, with a CI pipeline that weekly rebuilds the image with updated databases. The codebase is monolithic but well-organized, with environment variable configuration, proper error handling, and clean JSON responses. It is primarily an application, not a data research project, though it ships supporting data files for division codes and ASN metadata.
This repository is a lightweight automation pipeline that mirrors MaxMind's GeoLite2 IP geolocation databases (Country, City, ASN) via a GitHub Actions workflow. It does not contain application code or analytical scripts; its sole component is a CI/CD workflow that downloads the latest databases every three days from MaxMind, extracts the .mmdb files, and pushes them to both a dedicated 'download' branch and formal GitHub Releases, retaining only the two most recent releases. The repository serves as a dependable, proxy-free distribution point for these databases, eliminating the need for users to obtain their own MaxMind license key. While the repo has no traditional data transformations or feature engineering, the workflow demonstrates a clean pattern for automated data mirroring that can be adapted to other periodically updated datasets. The overall codebase is extremely minimal—just the workflow YAML, a README, and a LICENSE—making it functional but not rich in reusable data science assets. Reproducibility is limited by the requirement of a MaxMind license key stored as a GitHub secret, and the workflow is tightly coupled to the GitHub Actions environment.