OSINTech’s OSINT Anatomy Substack

OSINTech’s OSINT Anatomy Substack

OSINT Repos Intelligence Pack double update: 24.07.2026, 31.07.2026

4118 Repositories full Dataset, 32 newly weekly additions since last update

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OSINTech
Aug 01, 2026
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📌 OSINT Repos Intelligence Pack — Why This Dataset Exists?

Most OSINT and investigative work eventually runs into the same problem:

  • Tools accumulate faster than they can be meaningfully documented.

  • Bookmarks grow.

  • Starred repositories multiply.

  • Links are saved “for later” — and quietly forgotten.

Over time, it becomes increasingly difficult to answer simple questions:

  • Which tools are actually used?

  • Which repositories are actively maintained?

  • Which utilities are practical, and which are merely theoretical?

OSINT Repos Intelligence Pack exists as an attempt to address this problem and relized continuously updated, structured OSINT tooling dataset for investigators, journalists, analysts, and security researchers


📌 What this dataset is?

OSINT Repos Intelligence Pack is a structured dataset built from an actively used working environment.

It documents open-source repositories related to:

  • OSINT and open-source investigations,

  • Data collection and analysis,

  • Software development and automation,

  • DevOps and infrastructure tooling,

  • Information security and research utilities.

The dataset is not a curated “top tools” list and not a recommendation catalog.

It reflects what is actually being used, tested, evaluated and maintained over time.


📌 Why this approach matters?

Traditional OSINT lists tend to be static.

They age quickly, lose context and fail to reflect real-world usage.

This dataset is different in several ways:

  • It grows automatically,

  • It preserves metadata such as update activity and popularity,

  • It reflects a long-term working toolchain rather than a one-time selection,

  • It allows patterns and trends to emerge naturally.

Instead of asking “what tools should I use?”, the dataset helps answer:

“What tools are people actually using in practice?”


📌 What kind of information it contains?

Each entry in the dataset includes:

  • Repository name and owner,

  • Short description,

  • Associated topics and tags,

  • Popularity indicators,

  • Update timestamps.

This makes it possible to explore the dataset not only as a list of tools,

but also as a reference for understanding how the open-source OSINT ecosystem evolves.

Because metadata is preserved, the dataset can be used analytically — not just descriptively.


📌 Where to Follow?

Substack:

OSINTech’s OSINT Anatomy Substack
OSINTech is a practitioner-focused OSINT publications by Maxim Marshak - Investigative OSINT and applied research for journalists, analysts, and technical investigators.

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TOOL OF THE WEEK

Kameleo. Anti-detect browser for web scraping and automation. Engine-level fingerprint masking for Chromium and Firefox. Self-hosted, Docker-ready. Integrates with Selenium, Playwright, and Puppeteer via SDKs in Python, JavaScript, and C#:

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Julius. Simple LLM service identification - translate IP:Port to Ollama, vLLM, LiteLLM, or 60+ other AI services in seconds:

🔗 https://github.com/praetorian-inc/julius

OpenCodex. Universal provider proxy for OpenAI Codex & Claude Code - use any LLM (Claude, Gemini, Grok, DeepSeek, Ollama…) with Codex CLI, App, SDK, and Claude Code:

🔗 https://github.com/lidge-jun/opencodex

OSINT Mapping Tool. A small web app for organizing OSINT research. Jot down identifiers (social handles, phones, vehicles, whatever), pin places on a map (Google or OpenStreetMap), and wire the two together. Nothing leaves your browser:

🔗 https://github.com/anonymousRAID/OSINT-Mapping-Tool

SSHM is a beautiful command-line tool that transforms how you manage and connect to your SSH hosts. Built with Go and featuring an intuitive TUI interface, it makes SSH connection management effortless and enjoyable:

🔗 https://github.com/Gu1llaum-3/sshm


📌 Intended use

OSINT Repos Intelligence Pack is designed for:

  • Investigators and researchers,

  • Journalists and analysts,

  • Engineers and automation specialists,

  • Information security practitioners.

It can be used as:

  • A discovery aid,

  • A structured tooling archive,

  • A way to cross-check tooling choices,

  • A snapshot of a working OSINT environment at a given point in time,

  • A reference baseline for comparing future tooling shifts.

The full archive version of the dataset is available below for subscribers.

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