Ns 3 Python Packages

isaac-net

GPU-batched 5G network simulation for massively parallel robot learning: thousands of Isaac Lab / MJX environments, network-in-the-loop on one GPU, validated against ns-3 5G-LENA and OAI

sem

A framework to manage ns-3 simulation campaigns: let SEM perform multiple parallelized executions of your ns-3 scenario, permanently save the results and output them in plotting-friendly data structures. All from the comfort of the command line or in a few, clean lines of Python code.

ntn-constellation

End-to-end ns-3.43 simulator for 6G non-terrestrial networks: measured NR-NTN data plane under SGP4 mobility, NTN/O-RAN application layer with in-band QoS KPIs, E2SM-KPM flow monitor, multi-tier RIC, regenerative payloads, TR 38.821-calibrated radio, all 5 NTN handover trigger classes, THz, Sionna RT, AI/ML, digital twin.