This repository is a data pipeline that transforms crowdsourced survey responses about Chinese university quality of life into a structured MkDocs static site. The core ETL script (`questionnaires/main.py`) ingests a CSV of desensitized survey results, applies name normalization via alias mapping, blacklist/whitelist filtering, and splits data into current and archived sets based on a cutoff date. It generates per-university Markdown files with Q&A sections, a navigation structure, and a MkDocs configuration. The pipeline is triggered by GitHub Actions on pushes to master, pushing generated content to a separate branch and to the production website repository. The data is licensed under CC BY-NC-SA 4.0. While the code is functional and well-organized for its purpose, it is tightly coupled to the specific survey schema and data files, limiting direct reuse as a library. The most reusable component is the `FilenameMap` class for generating unique slugs from entity names.
The banking-apps-compat-report repository is a crowdsourced initiative that tracks the compatibility of international banking apps with GrapheneOS by leveraging GitHub issues as a data collection mechanism. Rather than containing traditional source code or data processing pipelines, the project relies on users submitting detailed compatibility reports through a standardized issue form, which are then curated and published by maintainers on the PrivSec.dev website. The cornerstone of this repository is the GitHub issue template located at .github/ISSUE_TEMPLATE/app_report.yml. This template defines a comprehensive form for collecting structured data on banking app compatibility, including fields for app metadata, device and profile specifications, security settings (such as exploit protection and memory tagging), installation methods, NFC payment functionality, and user-reported issues. Its careful design ensures consistent and high-quality data input, making it a reusable asset for similar crowdsourced data collection efforts in other domains. The project is actively maintained, with recent commits and ongoing issue triage, and exhibits low technical drift due to its minimal dependencies and use of stable GitHub features. However, reproducibility of the published compatibility lists is limited because the raw data resides exclusively in the GitHub issue tracker and is not bundled within the repository. Despite this, the initiative successfully provides a valuable, community-driven resource for GrapheneOS users seeking reliable information on banking app functionality.