housing

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

Smart Investing Examples

A Streamlit web app that predicts Singapore HDB resale flat prices using a pre-trained XGBoost model. Includes an interactive transaction map, light/dark theme toggle, and Docker support for easy deployment.

Database of NYC Housing Data

🏡 👩‍💻 💡 home is where you can [learn to] build the future surrounded by like-minded creative, friendly and [intrinsically] motivated people focussed on health, fitness and making things people and the world need!

A web app that helps you figure out whether buying or renting a home makes you richer.

Python API wrapper for Funda.nl, the Dutch real estate platform. Uses the real mobile API. No scraping, no Selenium, no CAPTCHA.

Tools for financial economics. Curated wrapper over Python ecosystem. Source code for fecon235 Jupyter notebooks.

Desktop app that automates apartment applications on Immoscout24 — polls listings and auto-fills contact forms via a bundled Chromium browser.

Python MLS and Real-Estate Data Scraper for the Realtor.ca Website

Easy & hassle free House Rent Management Web Application

来上海落地包:公租房通勤地图(高德API,任意目的地)+毕业生落地指南(落户/积分/租房/求职/就医/新城七模块计算器)——零依赖,双击即用

The Urban Displacement Project's Displacement Typology Map code

Agent-based model of the UK housing market.

Bloom is Exygy’s affordable housing platform. Bloom's goal is to be a single entry point for affordable housing seekers and a hub for application and listing management for developers.

Join us to deliver insights, understanding, and solutions to address the housing crisis in the United States.

DAHLIA is the affordable housing portal for the City and County of San Francisco.

LA Family Housing, an LA-based non-profit working to end the homelessness crisis, engaged the help of Hack for LA to identify and design a more efficient & effective solution for matching multiple individuals who experience homelessness as potential co-tenants, and placing the matched individuals in suitable shared housing units.

Self-hosted rental monitor for the Dutch market. Watches Holland2Stay, OurDomain, OurCampus & Xior and alerts you via Telegram, email, WhatsApp, iMessage or iOS/Android push the moment a matching listing appears — plus multi-user support, H2S auto-booking, and web/iOS/Android dashboards with map, calendar & charts.