Ringmast4r

Ringmast4r / RF-Protocol-Database

Public

The largest open-source unified Sub-GHz RF device protocol database. 425 protocols across 40 categories.

cybersecurity database flipper-zero hardware-security iot
10
4
100% credibility
Found Apr 13, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This project compiles and provides a large open-source database of Sub-GHz radio protocols for common devices such as weather stations, garage openers, tire sensors, and key fobs in JSON and CSV formats.

How It Works

1
🔍 Discover the database

You stumble upon a huge collection of info about everyday wireless gadgets like garage doors, weather sensors, and car keys that use low-frequency radio signals.

2
📥 Download the lists

You grab the ready-made files that list all the details in easy formats like spreadsheets or simple data files.

3
🌟 Explore the collection

You dive into over 400 device types across 40 categories, seeing modulation styles, frequencies, and makers for things like tire pressure sensors and security alarms.

4
🔎 Find your device

You search by name, type, or maker to get the exact signal details for your weather station or remote control.

5
📊 Use the info

You copy the details into your notes, spreadsheet, or tool to match signals you're capturing from real devices.

✅ Unlock device secrets

Now you understand how your gadgets talk wirelessly, making it easy to analyze, replay, or build projects around them.

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Star Growth

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AI-Generated Review

What is RF-Protocol-Database?

This Python project delivers a unified JSON and CSV database of 425 Sub-GHz RF protocols across 40 categories, covering devices like garage openers, weather stations, TPMS sensors, and smart meters in the 300-928 MHz ISM bands. It merges data from rtl_433, URH-NG, and Flipper Zero captures into searchable formats with fields for modulation (OOK, FSK), frequencies, bits, and checksums. Developers get instant access to device signatures for decoding signals without hunting multiple repos.

Why is it gaining traction?

It stands out as the largest open-source unified Sub-GHz protocol database on GitHub, saving time over scraping scattered sources like rtl_433 or Flipper collections. Users load it directly in Python, JavaScript, or SQL for quick filtering by category, manufacturer, or modulation—no rebuilding needed unless sources update. The ready exports beat fragmented lists in larger GitHub projects focused on code, not data.

Who should use this?

RF reverse engineers decoding IoT signals with SDR tools like rtl_433 or Universal Radio Hacker. Flipper Zero tinkerers mapping real-world .sub files to protocols. Embedded devs prototyping Sub-GHz receivers for weather sensors, alarms, or key fobs.

Verdict

Grab it for a solid starting point on Sub-GHz decoding—425 protocols in clean JSON/CSV is handy despite the 1.0% credibility score from just 10 stars and minimal docs. Early-stage with a rebuild script for freshness, but test thoroughly before production.

(198 words)

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