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Open Source · Observability

octoml-profile

Home for OctoML PyTorch Profiler

Our verdict

Not reviewed yet

We have not reviewed octoml-profile yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About octoml-profile

octoml-profile is a community-maintained PyTorch profiler from OctoML. It provides tools to measure and analyze the performance of PyTorch models, helping developers identify bottlenecks in training or inference.

Best for

PyTorch developers needing a simple, open-source profiler for model performance analysis

Use cases

  • Profiling PyTorch model training loops to find slow operations
  • Analyzing GPU utilization and memory usage during inference
  • Comparing performance across different model architectures or batch sizes

Notes

114 stars on GitHub. Last updated 2023-04-24. Licensed Apache-2.0.

Pros

  • Lightweight and focused specifically on PyTorch workflows
  • Open source with 114 GitHub stars, indicating community interest
  • Integrates with existing PyTorch code with minimal changes

Cons

  • Limited to PyTorch, not usable with other frameworks like TensorFlow
  • Community project may have less frequent updates or support than vendor-backed tools
  • Documentation and examples may be sparse compared to more mature profilers

Key facts

What we have checked

Days since the last commit
1,292
Checked GitHub
GitHub forks
10
Checked GitHub
GitHub stars
112
Checked GitHub
Open issues
0
Checked GitHub
Releases in the last 90 days
0
Checked GitHub

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

Stars and usage

How octoml-profile is growing

GitHub stars

114 to 112

stars. 12 July 2026 to 7 Nov 2026, 4 readings.

Source: GitHub. Checked .

Health and security

Is octoml-profile looked after, and what do its setup files show

Health score

25 out of 100

Does someone look after this repository? It does not say the code is good or safe. Worked out from GitHub signals checked . How it is worked out

PartPointsWhat we saw
Recent activity0 of 30Last push 1,292 days ago
Releases0 of 150 releases in 90 days
Issue repliesNot countedThe latest check has no issue response reading (fewer than 3 measured issues, or issues switched off)
Maintainer15 of 15Owned by an organisation
Official sourceNot countedMCP servers only

Sources

Where this comes from

  • GitHubRegistry

    Checked · Days since the last commit, GitHub forks, GitHub stars, Open issues, Releases in the last 90 days

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.

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