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Baby Names Explorer — nomorevibe

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Baby Names Explorer

Baby Names Explorer

Explore 145 years of baby name popularity — trends, pooled-model forecasts, and an AI chatbot.

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DataJupyter Notebook · PythonGitHub @dwest1507OnlineOwner unconfirmed

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Availability: Online; 30-day uptime 100%
Latest code update: Oct 26; Active repository
Latest version: baby-names-app-v1.4.1; baby-names-app: v1.4.1 · Sep 14
Contributors: 4; Forks 0
Listed on nomorevibe: Sep 16; Repository created September 2025

Languages

Jupyter Notebook 87.3%
Python 8.6%
TypeScript 3.4%
Shell and others 0.7%

Updates8 updates

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Sep 14baby-names-app: v1.4.1GitHub release ↗
Sep 14baby-names-app: v1.4.0GitHub release ↗
Sep 13baby-names-app: v1.3.0GitHub release ↗

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Operator: @dwest1507 ↗GitHub repository owner
Website: baby-names-app-zeta.vercel.app ↗
Repository: dwest1507/baby-names-app ↗Public · Active
Site and repository: Repository links to this site
Category: Data
Access: Website
Technology stack: Jupyter Notebook
Information refreshed: Oct 27GitHub

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Introduction

Creating an app that visualizes baby name data provided by the Social Security office

Taken from the repository README

README

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A modern web app for exploring 145 years of baby name popularity from the Social Security Administration dataset — interactive trend charts, 5-year forecasts from a pooled gradient-boosted model with measured uncertainty bands, and an AI chatbot that answers questions about the data in natural language. This app was previously a single-file Streamlit app (app.py). It has been refactored into a frontend/backend architecture with a dark, Linear-style design system matching the portfolio site. To enable the AI chatbot, create backend/.env:

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README

The full README is unavailable right now. Read it at the original link. The saved excerpt is shown below.

A modern web app for exploring 145 years of baby name popularity from the Social Security Administration dataset — interactive trend charts, 5-year forecasts from a pooled gradient-boosted model with measured uncertainty bands, and an AI chatbot that answers questions about the data in natural language. This app was previously a single-file Streamlit app (app.py). It has been refactored into a frontend/backend architecture with a dark, Linear-style design system matching the portfolio site. To enable the AI chatbot, create backend/.env:

Read the full README ↗