Comparison
netron vs oumi
Verdict
Pick netron if netron is an open-source visualizer for neural networks with support across multiple frameworks including TensorFlow, PyTorch, and ONNX; pick oumi if oumi is a tool for fine-tuning, evaluating, and deploying open-source large language models (LLMs) such as Gemma 4, Qwen3.5, Qwen3.6, gpt-oss, DeepSeek-R1, among others.
Markdown twin · netron alternatives · oumi alternatives
GraphCanon updated Sep 27, 2026
20views this month
Trust & integrity
| Signal | netron | oumi |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 27, 2026 · github_public_v1 | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 27, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- netron
- Visualizer for neural network, deep learning and machine learning models
- oumi
- Easily fine-tune, evaluate and deploy open source LLMs/VLMs
Stars
- netron
- 34k
- oumi
- 9.4k
Forks
- netron
- 3.2k
- oumi
- 790
Open issues
- netron
- 18
- oumi
- 34
Language
- netron
- JavaScript
- oumi
- Python
Adopt for
- netron
- Netron is an open-source visualizer for neural networks with support across multiple frameworks including TensorFlow, PyTorch, and ONNX.
- oumi
- Oumi is a tool for fine-tuning, evaluating, and deploying open-source large language models (LLMs) such as Gemma 4, Qwen3.5, Qwen3.6, gpt-oss, DeepSeek-R1, among others.
Persona
- netron
- -
- oumi
- -
Runtime
- netron
- -
- oumi
- -
License
- netron
- MIT
- oumi
- Oumi is released under Apache-2.0 license, providing users with a permissive free software license that includes the terms of the MIT License while also addressing patent liability issues.
Last pushed
- netron
- Sep 26, 2026
- oumi
- Sep 20, 2026
Categories
- netron
- Inference & Serving, Model Training
- oumi
- Evaluation & Observability, Inference & Serving, Model Training
Trust and health
Open issues (now)
- netron
- 18
- oumi
- 34
Stars delta
- netron
- +222 (30d)
- oumi
- +28 (30d)
Open issues delta
- netron
- 0 (30d)
- oumi
- +3 (30d)
Owner type
- netron
- User
- oumi
- Organization
OSV dependency advisories
- netron
- Published findings
- oumi
- No lockfile (source not queried)
Full report
- netron
- Trust report
- oumi
- Trust report
Choose netron if…
- netron is primarily JavaScript; oumi is Python.
- License: netron is MIT, oumi is Apache-2.0.
- Tags unique to netron: ai, coreml, deep-learning, deeplearning.
- When you need to visualize models from various deep learning frameworks like TensorFlow, PyTorch, or ONNX in a single tool
When NOT to use netron
- In environments where access to the web is restricted and no offline capability of Netron can be utilized
- When specific advanced visualization features are required that may not be supported by Netron yet implemented in a competitor's tool
Choose oumi if…
- oumi is primarily Python; netron is JavaScript.
- License: oumi is Apache-2.0, netron is MIT.
- Requirements: Requires Docker; Docker is used for standardized and portable environment deployments..
- Tags unique to oumi: dpo, evaluation, fine-tuning, llms.
- Also covers Evaluation & Observability.
- - You are working specifically with one of the supported open-source LLMs including Gemma 4 or Qwen variants.
When NOT to use oumi
- - If your focus is on proprietary models rather than open-source ones, Oumi may not offer the necessary support or integrations.
- - You require deployment flexibility beyond what Oumi provides for less commonly supported open-source LLMs outside its primary focus (e.g., Gemma 4, Qwen series).
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (lutzroeder/netron) · observed Sep 27, 2026
- GitHub forks (lutzroeder/netron) · observed Sep 27, 2026
- Last push (lutzroeder/netron) · observed Sep 26, 2026
- License file (MIT) · observed Sep 27, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (oumi-ai/oumi) · observed Sep 20, 2026
- GitHub forks (oumi-ai/oumi) · observed Sep 20, 2026
- Last push (oumi-ai/oumi) · observed Sep 20, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: netron 34k · oumi 9.4k (synced Sep 27, 2026).
Common questions
- What is the difference between netron and oumi?
- netron: Visualizer for neural network, deep learning and machine learning models. oumi: Easily fine-tune, evaluate and deploy open source LLMs/VLMs. See the comparison table for live GitHub stats and shared categories.
- When should I choose netron over oumi?
- Choose netron over oumi when netron is primarily JavaScript; oumi is Python; License: netron is MIT, oumi is Apache-2.0; Tags unique to netron: ai, coreml, deep-learning, deeplearning; When you need to visualize models from various deep learning frameworks like TensorFlow, PyTorch, or ONNX in a single tool.
- When should I choose oumi over netron?
- Choose oumi over netron when oumi is primarily Python; netron is JavaScript; License: oumi is Apache-2.0, netron is MIT; Requirements: Requires Docker; Docker is used for standardized and portable environment deployments.; Tags unique to oumi: dpo, evaluation, fine-tuning, llms; Also covers Evaluation & Observability; - You are working specifically with one of the supported open-source LLMs including Gemma 4 or Qwen variants.
- When should I avoid netron?
- In environments where access to the web is restricted and no offline capability of Netron can be utilized When specific advanced visualization features are required that may not be supported by Netron yet implemented in a competitor's tool
- When should I avoid oumi?
- - If your focus is on proprietary models rather than open-source ones, Oumi may not offer the necessary support or integrations. - You require deployment flexibility beyond what Oumi provides for less commonly supported open-source LLMs outside its primary focus (e.g., Gemma 4, Qwen series).
- Is netron or oumi more popular on GitHub?
- netron has more GitHub stars (33,524 vs 9,387). Stars measure visibility, not whether either tool fits your constraints.
- Are netron and oumi open source?
- Yes - both are open-source projects on GitHub (netron: MIT, oumi: Apache-2.0).
- Where can I find alternatives to netron or oumi?
- GraphCanon lists graph-backed alternatives at netron alternatives and oumi alternatives (netron markdown twin, oumi markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, netron or oumi?
- netron: Very active. oumi: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for netron and oumi?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: netron trust report; oumi trust report.