GitNova

GitHub seismograph — discoveries and growing interest

dfd-tud/deda

SecurityPython#yellow-dots#tracking-dots#printer-forensic
Total stars
2,601
Today · UTC
+1since 00:18 UTC
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About the project

DEDA is a toolkit for extracting, decoding and anonymising yellow dots (Document Colour Tracking Dots) that colour laser printers add to every page to encode the source device.

Useful for
  • Decode the printer serial number from a document scan with deda_parse_print
  • Identify which printer produced a document by comparing scans with deda_compare_prints
  • Remove yellow dots from a scan or PDF before printing via deda_clean_document and deda_anonmask_apply

README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.

2.5 Steady Magnitude out of 10 — how fast interest is growing, not a quality score.

Star growth looks organic. Data as of October 6, 2026, 01:12 UTC.

The star-growth assessment does not verify whether the project is safe to run.

Stars per day

0510July 9, 2026October 6, 2026

Bars show daily stars; the line is a moving average of the available history. Short histories do not yet establish a reliable usual pace. Red marks spike days.

Why it’s trending

  • Star-counter measurements on 2026-10-06 (UTC), 00:18–01:03: 2600 → 2601 stars (+1). This is the change over that interval.
  • Estimated end-of-day forecast: about +11 stars, using observed gains and the previous day.
  • Before this, the repository barely got any stars — about 0 per day.
  • Hacker News: “DEDA – Tracking Dots Extraction, Decoding and Anonymisation Toolkit” — 26 points, 1 day ago.

Three GitHub discoveries in each edition

What they do, why they are gaining interest, and what to check before using them.

Editions at 10:00, 16:00, 22:00 MSK.

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Numbers

Total stars
2,601
Today
+1 star measured 2026-10-06, 00:18–01:03 UTC, ≈ 11 by evening
Forks
119
Issues and pull requests
33
Watchers
49
Language
Python
License
GPL-3.0
Created
February 7, 2018
Last push
September 15, 2024

Star trust

Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.

These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.

Hacker News discussions
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GitNova: 2.5
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