Open Source Data Stack for Drones, Sensors, and Visiom inference (mavlink) and vis

Hey everyone,

I’m new to Drone tech / diy but come from a solution architect and cloud engineering background and started an open source project focused on mavlink and drone cameras.

Constellation Overwatch is a lightweight (~30 MB), completely offline-first, open-source C4ISR stack built with intention for people who actually fly drones and robots in the real world (industrial sites, search & rescue, defense, research, etc.) still have a ways to go but help move this data efficiently and rapidly.

Core ideas:

• One binary with embedded NATS JetStream + Turso SQLite + Go backend

• Ontological global state (entity_id namespacing) so every drone, ground robot, sensor, or camera has its own clean signal tree and state

• Real-time dashboard over Server-Sent Events (no Electron bloat)

• Full bearer-token API and NATS auth – works air-gapped or globally clustered

• Designed from the ground up for edge proximity and data residency

Current working integrations (both also open source):

• mavlink2constellation – high-performance MAVLink v2 → NATS bridge (gomavlib under the hood).

• vision2constellation – zero-copy video inference at the edge. Ships with C4ISR-tuned YOLO-E, RT-DETR, SAM2 segmentation, and Moondream VLM. Streams annotated frames + detections straight to the same global state fabric.

Links:

• Main site & docs: https://constellation-overwatch.github.io

• Core Backbone: https://github.com/Constellation-Overwatch/constellation-overwatch

• MAVLink bridge: https://github.com/Constellation-Overwatch/mavlink2constellation

• Vision bridge: https://github.com/Constellation-Overwatch/vision2constellation

• Discord: https://discord.gg/Ht6DeyRkWq

Would love to hear from anyone who:

• Runs more than a handful of drones/robots at once

• Has experience with gomavlib, mvp2p, mesh networks, etc.

• Just wants a simple self-hosted alternative to the big commercial fleet platforms

Feedback, bug reports, and contributions all very welcome.

Thanks!