Packages

Open-source tools from the TGraphX project

Packages developed alongside TGraphX — tools for local computer vision serving, dataset annotation, and graph learning research. All packages are open-source and MIT or Apache-2.0 licensed.

Package · Apache-2.0

VisionServeX

A local-first, license-aware Python framework for serving modern computer vision models through a unified Python API, CLI, and HTTP REST gateway. 39 commercial-safe core models. No data leaves your machine.

Computer vision Local inference License-aware SAM · DINOv2 · RF-DETR v3.11.0

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Framework · MIT

TGraphX

Tensor-aware graph neural network framework for PyTorch research. Tensor-valued node and edge features, scalable mini-batch samplers, knowledge graphs, graph RL, graph generation, and reproducibility tooling. arXiv:2504.03953.

Graph learning PyTorch Tensor-valued nodes GNN research v1.4.2

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More packages are in development. This hub lists packages that have public releases and stable documentation. Packages in early research phases are not listed until they reach a stable public release.