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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
TypeChannel
Username@pythonarsenal
CreatedBetween 1 May 2016 and 28 February 2017— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live27 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 27 August 2026
On Telegramt.me/pythonarsenal

Growth

9910099.55 August 2026 — 100 subscribers9 August 2026 — 100 subscribers27 August 2026 — 99 subscribers5 August 202627 August 2026
3 measurements spanning 21 days, net -1. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 99–100 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
27 Aug 2026, 02:2899-1
9 Aug 2026, 10:33100no change
5 Aug 2026, 23:02100first reading

Engagement

20 posts held, back to 10 July 2018the 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

13 Apr 2020, 18:59 UTC609 viewsread 9 August 2026

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

4 Dec 2019, 09:02 UTC673 viewsread 9 August 2026

Hashashin: A Fuzzy Matching Tool for Binary Ninja https://github.com/riverloopsec/hashashin

25 Nov 2019, 19:15 UTC547 viewsread 9 August 2026

Radare2 Metadata Extraction to Elasticsearch https://github.com/jaredestroud/r2elk

31 Oct 2019, 09:05 UTC483 viewsread 9 August 2026

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

29 Oct 2019, 08:36 UTC411 viewsread 9 August 2026

Brainfuck architecture module and loader for Binary Ninja https://github.com/zznop/bn-brainfuck

18 Sept 2018, 12:35 UTC555 viewsread 9 August 2026

IDA_AutoAnalysis - IDA Pro plugin that rename functions on load, based on functionality. Based on IDAPython. https://github.com/silascutler/IDA_AutoAnalysis

11 Sept 2018, 10:17 UTC549 viewsread 9 August 2026

beebug - a tool that can be used to verify if a program crash could be exploitable. Based on radare2. https://github.com/invictus1306/beebug

27 Aug 2018, 14:48 UTC538 viewsread 9 August 2026

DumpDiff - a tool for batch kernel dumps handling. Based on pykd. https://githomelab.ru/pykd/dumpdiff/

6 Aug 2018, 18:19 UTC532 viewsread 9 August 2026

pytest-idapro - a pytest module for The Interactive Disassembler and IDAPython, mocking IDAPython functionality outside of IDA. https://github.com/nirizr/pytest-idapro

25 Jul 2018, 10:32 UTC503 viewsread 9 August 2026

fridump3 - a universal memory dumper using Frida for Python 3. Based on frida. https://github.com/rootbsd/fridump3

25 Jul 2018, 07:57 UTC443 viewsread 9 August 2026

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

24 Jul 2018, 08:53 UTC374 viewsread 9 August 2026

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.