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6g Python Packages

Python packages with the GitHub topic 6g. Sorted by monthly downloads, with stars and forks.
nvlabs
sionna

Sionna: An Open-Source Library for Research on Communication Systems

18K 2K 419
jaewoo4200
seam-studio

SEAM: Scene-to-Electromagnetic Authoring and Mapping for Wireless Digital Twins

3K 0 0
DeepMIMO
deepmimo

DeepMIMOv4: A Toolchain and Database for Ray-tracing Datasets.

3K 128 26
InterDigitalInc
neoradium

A Python Library for the 3GPP physical layer

3K 21 5
nvlabs
sionna-no-rt

Sionna: An Open-Source Library for Research on Communication Systems

2K 2K 419
yuanhao-cui
wsdp

A protocol-level abstraction and unified benchmark for scalable wireless sensing. SDP enforces deterministic physical-layer sanitization, canonical tensor construction, and standardized training and evaluation procedures, decoupling learning performance from hardware-specific artifac

397 12 3
muhd-umer
comyx

Comyx is an optimized and modular Python library for simulating wireless communication systems

263 20 1
cahthuranag
agenet

This package analyzes the age of information (AoI) in a wireless network, providing metrics for network performance evaluation. It can be easily integrated into simulation environments for research on AoI.

239 18 5
LPSchulz
mimodium

Reproducible system-level simulations for distributed massive MIMO research.

164 2 0
ipc-lab
pykaira

A PyTorch-based toolkit for simulating communication systems

143 63 2
jman4162
metasurface-py

Open-source Python package for design, analysis, and optimization of programmable electromagnetic metasurfaces (RIS/IRS) for wireless communication and sensing

90 0 0
Muhammaduazir69
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.

62 23 6
yuanhao-cui
sensing-dataset-protocol

A protocol-level abstraction and unified benchmark for scalable wireless sensing. SDP enforces deterministic physical-layer sanitization, canonical tensor construction, and standardized training and evaluation procedures, decoupling learning performance from hardware-specific artifac

2 13 3
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