Django
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Settilo
NeighborhoodScout
Niche
HoodScore
Open Census Data
Django SettiloNo Settilo videos yet. You could help us improve this page by suggesting one.
Settilo's answer:
Settilo analyzes the neighborhood, not the listing. While most real estate platforms focus on property details, Settilo surfaces the data that surrounds it โ crime trends over time, school quality at the attendance-zone level, local economic trajectory, and housing value trends โ pulled from authoritative public sources and presented in one place.
Settilo's answer:
Settilo is built exclusively for buyers, with no listing revenue, no agent relationships, and no incentive to obscure unfavorable data. Competitors l target institutional and B2B customers at $125โ400/month. Settilo makes the same depth of neighborhood intelligence accessible to individual buyers at a consumer price point, with a comparison interface built around the actual decision: which neighborhood fits my priorities.
Settilo's answer:
Analysis-first home buyers โ people relocating to an unfamiliar city, first-time buyers doing serious research, and anyone who wants to understand a neighborhood before committing to it. They're data-literate, often comparing 3โ5 areas simultaneously, and frustrated by how scattered the relevant information is across government databases.
Settilo's answer:
Settilo was built by a team that went through the home-buying process and noticed that every useful data point required a different government website, inconsistent formats, and hours of manual work. The property data was easy to find. The neighborhood data โ the part that determines long-term quality of life โ wasn't. Settilo launched in March 2026 to fix that.
Settilo's answer:
Next.js, PostgreSQL with PostGIS for geospatial queries, US Census Bureau data (ACS), FBI UCR crime data, GreatSchools API, and Mapbox for geographic visualization.
Based on our record, Django seems to be more popular. It has been mentiond 16 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Use of settings.py as a naming convention follows in Django's footsteps, but alternatively, you can save it to .env and integrate use of python-dotenv to more closely mirror Node. - Source: dev.to / 7 months ago
Let's dive into a quick implementation of this using AWS and Django. We will be using a couple of ideas from the AWS Official Blog. - Source: dev.to / almost 2 years ago
Django is a high-level Python web framework. It is an Model-View-Template(MVT)-based, open-source web application development framework. It was released in 2005. It comes with batteries included. Some popular websites using Django are Instagram, Mozilla, Disqus, Bitbucket, Nextdoor and Clubhouse. - Source: dev.to / over 3 years ago
This seems like a job for Django. MDN offers a really good tutorial here. To be honest, it would be a massive undertaking so Iโd recommend going for a prebuilt solution like PowerSchool and the like. Source: almost 4 years ago
The first party docs are second to none. Start out with the official tutorial on https://djangoproject.com . Source: about 4 years ago
Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...
NeighborhoodScout - NeighborhoodScout is a custom analytics provider for every location to appraise or finance real estate.
Laravel - A PHP Framework For Web Artisans
Niche - Niche: A Genetics Survival Game is a Simulation developed and published by Stray Fawn Studios for Microsoft Windows, Mac OS and Linux.
Flask - a microframework for Python based on Werkzeug, Jinja 2 and good intentions.
HoodScore - AI-powered real estate analysis for any neighbourhood
