BigBodyCobain/Shadowbroker
Shadowbroker
Open-source intelligence for the global theater. Track everything from the corporate/private jets of the wealthy, and spy satellites, to seismic events in one unified interface. Hook an AI agent up to have it parse through data and find previously unseen correlations. The knowledge is available to all but rarely aggregated in the open, until now.
Overview
Open-source intelligence for the global theater. Track everything from the corporate/private jets of the wealthy, and spy satellites, to seismic events in one unified interface. Hook an AI agent up to have it parse through data and find previously unseen correlations. The knowledge is available to all but rarely aggregated in the open, until now.
Best for
- Evaluating Shadowbroker for Python AI workflows.
- Comparing a GitHub project with 8,270 stars and current repository activity.
Pros
- Shadowbroker has visible GitHub traction with 8,270 stars. Topics: air-force-one, airforce1, asdb.
- The GitHub repository is the primary evaluation surface.
Cons
- Production fit still depends on documentation depth, issue activity, and release cadence.
- License review should confirm the AGPL-3.0 terms fit your use case.
Production readiness
Shadowbroker should be validated with its README, release history, open issues, and integration requirements before production use.
License risk
AGPL-3.0 is reported by GitHub; review the repository license before redistribution or commercial use.
Install
git clone https://github.com/BigBodyCobain/Shadowbroker.gitpython -m venv venvpip install .npm cinpm run dev