oregami - scripts for analyzing register usage frame. Basedon IDAPython https://github.com/shemesh999/oregami

Channel
Python Arsenal
@pythonarsenal
On this record: Growth · Engagement · Posts · Cite this entry
99subscribers
-1 since we began measuring on 5 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001057424317 |
|---|---|
| Type | Channel |
| Username | @pythonarsenal |
| Created | Between 1 May 2016 and 28 February 2017— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 27 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 27 August 2026 |
| On Telegram | t.me/pythonarsenal |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 27 Aug 2026, 02:28 | 99 | -1 |
| 9 Aug 2026, 10:33 | 100 | no change |
| 5 Aug 2026, 23:02 | 100 | first reading |
Engagement
20 posts held, back to 10 July 2018 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 13 April 2020. An engagement rate over an empty window would be a number about nothing.
Recent posts
Hashashin: A Fuzzy Matching Tool for Binary Ninja https://github.com/riverloopsec/hashashin
Radare2 Metadata Extraction to Elasticsearch https://github.com/jaredestroud/r2elk
VMX_INTRINSICS - plugin allow to display unhandled VMX instructions into their respective intrinsic form when using the decompiler. Based on IDAPython. https://github.com/synacktiv/vmx_intrinsics
Brainfuck architecture module and loader for Binary Ninja https://github.com/zznop/bn-brainfuck
IDA_AutoAnalysis - IDA Pro plugin that rename functions on load, based on functionality. Based on IDAPython. https://github.com/silascutler/IDA_AutoAnalysis
beebug - a tool that can be used to verify if a program crash could be exploitable. Based on radare2. https://github.com/invictus1306/beebug
DumpDiff - a tool for batch kernel dumps handling. Based on pykd. https://githomelab.ru/pykd/dumpdiff/
pytest-idapro - a pytest module for The Interactive Disassembler and IDAPython, mocking IDAPython functionality outside of IDA. https://github.com/nirizr/pytest-idapro
fridump3 - a universal memory dumper using Frida for Python 3. Based on frida. https://github.com/rootbsd/fridump3
GBA-IDA-Pseudo-Terminal - a collection of tools that uses the IDAPython API to execute commands for IDB analysis https://github.com/LanHikari22/GBA-IDA-Pseudo-Terminal
ida2r2 - export IDB or IDC from IDA into a radare2 initialization script. https://github.com/radare/radare2ida
Showing the 12 most recent of 20 posts we hold for @pythonarsenal. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 27 August 2026 — this entry's latest reading, not the date you are reading this.
“Python Arsenal” (@pythonarsenal), 99 subscribers as measured 27 August 2026. Telegram Register, tgregister.com/channel/pythonarsenal.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.