🖧 Technology & Internet

Temporal Drift of Emoji Meanings in GitHub Commit Messages

Tracking how often developers use emojis in GitHub commit messages and how their usage changes month by month.

Observations
12
Tracking since
Last updated

Emoji count per month

Number of emoji-like characters (non-ASCII) found in commit messages per month

2 observations · measured in count

24 count
2026-10
▬ 0.0% vs previous
01 Oct 2026 00:00
Emoji count per month (count) — summary, last 30 days.
Emoji count per month observations
WhenEmoji count per month
24 count
24 count
Emoji count per month (count) — table, last 30 days.

Emoji usage entropy per month

Shannon entropy (base 2) of emoji-like character distribution in commit messages per month

2 observations · measured in bits

1.89 bits
2026-10
▬ 0.0% vs previous
01 Oct 2026 00:00
Emoji usage entropy per month (bits) — summary, last 30 days.
Emoji usage entropy per month observations
WhenEmoji usage entropy per month
1.89 bits
1.89 bits
Emoji usage entropy per month (bits) — table, last 30 days.

About this data

This page measures the monthly frequency of individual emoji that appear in public GitHub commit messages. It also calculates the Shannon entropy of emoji usage each month to gauge the diversity and unpredictability of emoji choice. The data are gathered by scraping commit messages from openly available repositories, filtering for Unicode emoji characters, and aggregating counts per calendar month. Tracking these metrics shows how developers’ expressive habits evolve, revealing shifts in sentiment or status that standard sentiment‑analysis tools miss. Because emoji meanings can drift over time, the dataset offers a unique view of informal communication in software development.

Sources

Every figure on this page was read from these pages.

Why this isn't published anywhere else

No live dashboard, recurring report, or public dataset specifically tracking temporal drift of emoji meanings in GitHub commit messages was found; existing resources are either generic emoji semantic change tools, Twitter-based analyses, or blog posts.

Uniqueness score 0.98 — assessed against live web search results when this subject was created.