tanykim/twitter-ten-years — explained in plain English
Analysis updated 2026-07-17 · repo last pushed 2021-09-21
Process your own Twitter data archive into a format ready for visualization.
Build a dashboard showing your tweet frequency, topics, and activity patterns by month.
Use this as a template for a research project studying social media behavior over time.
Reflect on how your personal brand or online voice changed over a decade of tweets.
| tanykim/twitter-ten-years | boneskull/promwrap | brunosimon/ecole-multimedia-fi-dev2-2019 | |
|---|---|---|---|
| Stars | 7 | 7 | 7 |
| Language | JavaScript | JavaScript | JavaScript |
| Last pushed | 2021-09-21 | 2020-07-21 | 2021-08-12 |
| Maintenance | Dormant | Dormant | Dormant |
| Setup difficulty | moderate | easy | hard |
| Complexity | 2/5 | 2/5 | 2/5 |
| Audience | general | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires your own Twitter data export and processing it before the dashboard has anything to show.
This project is a personal archive and visual analysis of one person's entire decade on Twitter. Instead of just scrolling through old tweets, the creator extracted all their data and built interactive charts and graphs to see patterns, like how their tweeting habits changed over time, what they talked about most, or when they were most active. The project has two main parts. First, there's a data collection piece that takes raw Twitter information and processes it into a format that's easier to analyze. Second, there's a web-based dashboard that turns those numbers into visual stories, think colorful charts showing tweet frequency by month, word clouds of favorite topics, or breakdowns of replies versus original posts. This way, instead of a wall of text, you get a clear picture of a decade of social media behavior at a glance. Anyone could use this approach for their own Twitter account if they wanted to look back and reflect on their online presence. A marketer might do this to see how their personal brand evolved. A researcher studying social media behavior could adapt it as a template. Even someone just curious about their own patterns, when do I tweet most, what do I actually talk about, could find value in seeing their data visualized this way. The readme doesn't go into detail about specific features or how to replicate it for your own account, but the structure suggests it's organized enough that someone motivated could follow the same workflow.
A personal project that turns a decade of one person's tweets into interactive charts showing tweeting habits, topics, and activity over time.
Mainly JavaScript. The stack also includes JavaScript.
Dormant — no commits in 2+ years (last push 2021-09-21).
License is not stated in the available content.
Setup difficulty is rated moderate, with roughly 1h+ to a first successful run.
Mainly general.
This repo across BitVibe Labs
double-check against the repo, no cap.