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README

{ Odinova Digital Tiger:BETA:©️ 🕵️‍♂️ }

! DISCONTINUED: Please look forward to the development of InsightHub

HOW TO INSTALL/RUN?

  • git clone https://github.com/AnonCatalyst/Odinova && cd Odinova
  • pip install -r requirements.txt --break-system-packages
  • python3 odinova.py

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Odinova Digital Tiger - Screenshot

Odinova Digital Tiger: Overview

Odinova Digital Tiger is an advanced application designed for Open-Source Intelligence (OSINT), equipped with versatile tools and a user-friendly interface to streamline investigative workflows and enhance data analysis capabilities.

Documenter: Document Management

Purpose: Manages and documents investigative findings through documentation files.

  • Features:
  • Tabbed Interface: Allows users to manage multiple doc files simultaneously using QTabWidget.
  • Markdown Rendering: Converts Markdown content into HTML for clear and structured presentation using QTextBrowser.
  • File Operations: Supports operations such as saving all documents, importing Markdown files, and opening existing files.
  • Dark Theme Integration: Implements a dark theme interface for enhanced readability and reduced eye strain during prolonged use.

Screenshot 1 Screenshot 2 Screenshot 3

ResourcesWindow: Markdown File Viewer

Purpose: Provides a centralized view of Markdown files stored within the application.

  • Features:
  • Tabbed Navigation: Presents Markdown files in a tabbed interface using QTabWidget for organized access.
  • HTML Rendering: Converts Markdown content to HTML for display using QTextBrowser within a scrollable area.
  • Import Functionality: Allows users to import additional Markdown files from external sources using QFileDialog.
  • Dark Theme Support: Applies a dark theme to the interface for improved user experience and readability.

Application Benefits for OSINT

Odinova Digital Tiger enhances OSINT operations by:

  • Centralized Tools: Integrates diverse tools for email reconnaissance, social media analysis, web searches, and deep web exploration into a unified platform.
  • Efficient Data Management: Facilitates the organization, storage, and retrieval of investigative findings through structured interfaces and file management functionalities.
  • Enhanced Collaboration: Promotes collaboration among investigators by providing shared resources and real-time updates on search progress and results.
  • Comprehensive Documentation: Supports thorough documentation of intelligence findings through documentation files, ensuring clarity, accessibility, and preservation of investigative insights.

Conclusion

Odinova Digital Tiger represents a robust solution for OSINT practitioners, offering a comprehensive suite of tools and functionalities tailored to streamline investigative workflows, enhance data analysis capabilities, and promote effective collaboration. By combining powerful tools with intuitive interfaces, the application empowers users to conduct thorough investigations, manage findings efficiently, and document insights effectively within a secure and user-friendly environment.

Core symbols most depended-on inside this repo

log_interaction
called by 28
src/windows/main_window.py
log_error
called by 11
src/logging.py
clear_HOME_layout
called by 7
src/windows/main_window.py
create_label
called by 6
src/core/design_handler.py
search
called by 5
src/windows/CT/ctwindow_4.py
apply_dark_theme
called by 4
src/windows/settings_window.py
set_status
called by 4
src/windows/CT/ctwindow_2.py
_log_to_tab
called by 3
src/logging.py

Shape

Method 220
Class 44
Function 22

Languages

Python100%

Modules by API surface

src/windows/docs_window.py27 symbols
src/windows/main_window.py26 symbols
src/windows/CT/ctwindow_5.py18 symbols
src/windows/CT/ctwindow_4.py17 symbols
src/windows/CT/ctwindow_3.py14 symbols
src/windows/sub_window1.py13 symbols
src/windows/documenter.py13 symbols
src/core/design_handler.py13 symbols
src/windows/settings_window.py12 symbols
src/logging.py12 symbols
src/windows/sub_window2.py11 symbols
src/windows/main_sidemenu.py10 symbols

For agents

$ claude mcp add Odinova \
  -- python -m otcore.mcp_server <graph>

⬇ download graph artifact