$npx skillfedfor your agent

tosa-adapter-model-explorer

Adapter for ai-edge-model-explorer to support TOSA files

With conditionsPyPI Artificial IntelligenceReleased Nov 2025123.7K downloads / moApache-2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — tosa_adapter_model_explorer-0.1.0-py3-none-any.whl
v0.1.0 · released 2025-11-12 · Python <3.13,>=3.10 · 2 runtime deps: ai-edge-model-explorer, flatbuffers

Yes, if you work with TOSA models and need visual inspection. The package is lightweight, actively maintained, carries no security issues, and uses a permissive license. The Beta status and small user base mean less real-world testing, so treat it as a solid but still-maturing tool. Requires Python 3.10+.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python >= 3.10 and < 3.13; torch must also be installed for Model Explorer to function.
  • Low friction install with a pure-Python wheel.
  • Actively maintained as of the latest commit; however, the package is in Beta status and has a small user base, so edge cases may not be fully tested.

License · maintenance · safety

Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions; you must retain license and copyright notices in distributions.

last release 2025-11-12 (275 days) · last repo commit 2026-07-06 · 4 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 123,719 downloads/mo, #11,902 on PyPI

Verify before relying

pip install tosa-adapter-model-explorer ai-edge-model-explorer==0.1.25
model-explorer --extensions=tosa_adapter_model_explorer
  • Whether the adapter works with all TOSA file versions and edge cases, given the Beta status and small adoption base.
  • Performance characteristics when visualizing large or complex TOSA models in Model Explorer.
  • Compatibility with Model Explorer versions beyond 0.1.25 mentioned in the usage example.
Same gist for agents: .md · .json

What it is and what it does

This package is a plugin adapter that bridges TOSA model files and Google's Model Explorer visualization tool. TOSA is an open neural network exchange format from the ML Platform, and this adapter lets you load and inspect TOSA models graphically within Model Explorer's interface. It requires Python 3.10 or later and depends on ai-edge-model-explorer and flatbuffers at runtime.

You install it alongside Model Explorer, then launch Model Explorer with a command-line flag to enable the TOSA adapter. The package itself is maintained by Arm and is actively developed, though it remains in Beta status. It carries no known security vulnerabilities and uses a permissive Apache-2.0 license.

Use it for

  • Visualize and inspect TOSA neural network model graphs during development or debugging.
  • Integrate TOSA model inspection into an ML workflow that already uses Model Explorer for other formats.
  • Explore model structure and layer connectivity in TOSA files without writing custom parsing code.
  • Verify model architecture and data flow in TOSA models before deployment on edge devices.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you work with TOSA models and need visual inspection.

The package is lightweight, actively maintained, carries no security issues, and uses a permissive license. The Beta status and small user base mean less real-world testing, so treat it as a solid but still-maturing tool. Requires Python 3.10+.

Install

tosa-adapter-model-explorer on PyPI

Before you install

Low friction install with a pure-Python wheel. Actively maintained as of the latest commit; however, the package is in Beta status and has a small user base, so edge cases may not be fully tested.

Requires Python >= 3.10 and < 3.13; torch must also be installed for Model Explorer to function.

License in practice

Apache-2.0 permissive license allows commercial and private use with minimal restrictions; you must retain license and copyright notices in distributions.

Quickstart

pip install tosa-adapter-model-explorer ai-edge-model-explorer==0.1.25
model-explorer --extensions=tosa_adapter_model_explorer

Verify before relying

  • Whether the adapter works with all TOSA file versions and edge cases, given the Beta status and small adoption base.
  • Performance characteristics when visualizing large or complex TOSA models in Model Explorer.
  • Compatibility with Model Explorer versions beyond 0.1.25 mentioned in the usage example.

Package facts

LicenseApache-2.0 permissive
Python supportCapped below the current Python release <3.13,>=3.10
Install frictionLow. Pure-Python wheel
Runtime dependencies
2 packages
ai-edge-model-explorerflatbuffers
MaintenanceActively maintained 275 days since the last release
Last repo commit
First released
Downloads123,719 / month, #11,902 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 :: POSIXProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12

Evidence: tosa_adapter_model_explorer-0.1.0-py3-none-any.whl

Tags

Capabilities
tosa model visualizationmodel explorer adapterneural network visualizationtosa file viewerai edge model explorer pluginarm tosa supportmodel graph visualization
Topics
model-visualizationneural-networkstosa
PyPI keywords
model-explorertosavisualization

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 › “tosa model visualization”

  • tosa-adapter-model-explorerEnables visualization of TOSA neural network model files within the…
  • tosa-toolsTOSA Tools provides serialization, reference implementation, and…
  • dtreevizdtreeviz renders decision trees from scikit-learn, XGBoost, LightGBM,…

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 ai-edge-model-explorer · pte-adapter-model-explorer · tosa-tools · ai-edge-quantizer · netron · litert-lm-builder · visualdl · django-data-browser · django-sql-explorer · torchviz