$npx skillfedfor your agent

pte-adapter-model-explorer

Adapter for Model Explorer to support PTE files for Ethos-U and VGF targets

With conditionsPyPI Artificial IntelligenceReleased Jul 202692.8K downloads / moApache-2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — pte_adapter_model_explorer-0.1.2-py3-none-any.whl
v0.1.2 · released 2026-07-09 · Python <3.13,>=3.10 · 4 runtime deps: ai-edge-model-explorer, vgf-adapter-model-explorer, tosa-adapter-model-explorer, flatbuffers

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

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.
Same gist for agents: .md · .json

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.

With conditions

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

LicenseApache-2.0 permissive
Python supportCapped below the current Python release <3.13,>=3.10
Install frictionLow. Pure-Python wheel
Runtime dependencies
4 packages
ai-edge-model-explorervgf-adapter-model-explorertosa-adapter-model-explorerflatbuffers
MaintenanceActively maintained 36 days since the last release
Last repo commit
First released
Downloads92,757 / month, #13,429 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone 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

Tags

Capabilities
pte file visualizationmodel explorer adapterexecutorch model debuggingarm ethos-u visualizationneural network model inspectionpytorch executorch tools
Topics
model-visualizationexecutorchedge-ai
PyPI keywords
model-explorerethosptevisualization

Let your AI agent find packages like this

Example. Real query, live index.

You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.

wish › “pte file visualization”

  • pte-adapter-model-explorerExtends Model Explorer with visualization support for PyTorch…
  • pyevtkExports scientific data to binary VTK files for visualization in…
  • foxglove-sdkIntegrates Python applications with the Foxglove visualization…

Give your agent the search over MCP, or paste the wish link into any chat.

More Artificial Intelligence packages

litellm With conditions
PyPI · Artificial Intelligence · released Aug 2026

LiteLLM provides a unified Python interface to call 100+ LLM providers (OpenAI, Anthropic, Gemini, Bedrock, Azure, and others) using OpenAI-compatible API format, available as both a Python SDK and a self-hosted AI Gateway proxy server.

Install it if you need to work with multiple LLM providers or want to centralize LLM routing in your organization.

MITcompiled wheel
682.8Mdownloads / mo
huggingface-hub Worth it
PyPI · Artificial Intelligence · released Aug 2026

Client library and CLI tool for downloading, uploading, and managing models, datasets, and repositories on the Hugging Face Hub platform.

Install it if you work with Hugging Face Hub models or datasets.

Apache-2.0pure Python · 3.10.0+
442.4Mdownloads / mo
langchain Worth it
PyPI · Python Modules · released Aug 2026

LangChain provides a framework for building agents and LLM-powered applications by composing language models, tools, and memory through a unified API that abstracts over multiple model providers.

MITpure Python
315.4Mdownloads / mo
hf-xet With conditions
PyPI · Artificial Intelligence · released Aug 2026

hf-xet provides chunk-based deduplication and efficient file transfer for the Hugging Face Hub, enabling faster uploads and downloads of large files with local disk caching.

Apache-2.0compiled wheel · 3.8+
258.4Mdownloads / mo
tokenizers Worth it
PyPI · Artificial Intelligence · released Apr 2026

Tokenizers converts raw text into token sequences for NLP models, with support for training custom vocabularies and using pre-built tokenizers (BPE, WordPiece) optimized for speed via Rust.

Apache-2.0compiled wheel · 3.10+
222.9Mdownloads / mo
transformers Worth it
PyPI · Artificial Intelligence · released Aug 2026

Transformers provides a unified framework for loading, fine-tuning, and running state-of-the-art pretrained models across text, vision, audio, video, and multimodal tasks using PyTorch, JAX, or TensorFlow.

Install it if you need to run or train any transformer-based model for NLP, vision, audio, or multimodal tasks.

permissive licensepure Python · 3.10.0+
186.6Mdownloads / mo

See also tosa-adapter-model-explorer · ai-edge-model-explorer · executorch · torch-npu · litert-torch · torch-model-archiver · litert-lm-builder · torchao · netron