pte-adapter-model-explorer
Adapter for Model Explorer to support PTE files for Ethos-U and VGF targets
Decision gist · record as of 2026-08-14
Yes, if you work with PyTorch Executorch models targeting Arm or XNNPACK backends and need to visualize or debug them. The package is actively maintained, has low install friction, carries a permissive license, and integrates cleanly into Model Explorer. The Beta status and small user base suggest it is specialized rather than production-hardened, so verify it supports your specific backend before committing.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >=3.10, <3.13.
- ai-edge-model-explorer must be installed separately.
- Low friction install with a pure-Python wheel.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions.
last release 2026-07-09 (36 days) · last repo commit 2026-07-09 · 1 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 92,757 downloads/mo, #13,429 on PyPI
Alternatives
Verify before relying
pip install pte-adapter-model-explorer ai-edge-model-explorer
model-explorer --extensions=pte_adapter_model_explorer- Whether the adapter works with all three backends equally well or has known limitations.
- Performance characteristics when visualizing large PTE models.
- Whether the adapter is production-ready despite Beta development status.
What it is and what it does
This package is a plugin for Model Explorer that adds support for visualizing PyTorch Executorch PTE files. It integrates with Model Explorer's extension system to enable inspection and debugging of neural network models compiled for specific hardware targets: Arm Ethos-U NPU, Arm VGF, and XNNPACK backends.
You install it alongside ai-edge-model-explorer and activate it via a command-line flag. Once enabled, it allows you to load and inspect PTE files in Model Explorer's graphical interface, making it useful for developers working with Executorch models on Arm hardware or XNNPACK targets. The package depends on ai-edge-model-explorer, vgf-adapter-model-explorer, tosa-adapter-model-explorer, and flatbuffers, and runs on Linux, macOS, and Windows.
Use it for
- Visualize and debug Executorch models compiled for Arm Ethos-U NPU deployment.
- Inspect model graphs and operations for Arm VGF backend targets.
- Analyze XNNPACK-compiled models in a graphical interface.
- Verify model structure and layer connectivity before deploying to edge devices.
- Troubleshoot model compilation issues by examining the resulting PTE file structure.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you work with PyTorch Executorch models targeting Arm or XNNPACK backends and need to visualize or debug them.
The package is actively maintained, has low install friction, carries a permissive license, and integrates cleanly into Model Explorer. The Beta status and small user base suggest it is specialized rather than production-hardened, so verify it supports your specific backend before committing.
Install
pte-adapter-model-explorer on PyPI
Before you install
Low friction install with a pure-Python wheel. Active maintenance with recent releases. Requires Python >=3.10, <3.13 and runs on Linux, macOS, and Windows.
Requires Python >=3.10, <3.13. ai-edge-model-explorer must be installed separately.
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions.
Quickstart
pip install pte-adapter-model-explorer ai-edge-model-explorer
model-explorer --extensions=pte_adapter_model_explorer
Verify before relying
- Whether the adapter works with all three backends equally well or has known limitations.
- Performance characteristics when visualizing large PTE models.
- Whether the adapter is production-ready despite Beta development status.
Package facts
| License | Apache-2.0 permissive |
| Python support | Capped below the current Python release <3.13,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesai-edge-model-explorervgf-adapter-model-explorertosa-adapter-model-explorerflatbuffers |
| Maintenance | Actively maintained 36 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 92,757 / month, #13,429 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersOperating System :: POSIX :: LinuxProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12 |
Evidence: pte_adapter_model_explorer-0.1.2-py3-none-any.whl
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See also tosa-adapter-model-explorer · ai-edge-model-explorer · executorch · torch-npu · litert-torch · torch-model-archiver · litert-lm-builder · torchao · netron