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octoml-profile

octoml/octoml-profile

Home for OctoML PyTorch Profiler

GitHub

GraphCanon updated Sep 30, 2026 · GitHub synced Sep 30, 2026

35views this month

113 stars10 forksLast push Apr 24, 2023 Apache-2.0

Decision brief

OctoML PyTorch Profiler provides profiling and acceleration tools for PyTorch models with remote execution capabilities.

Good fit when

Need precise performance metrics on different backend architectures like CPU, GPU in cloud environments
Want to accelerate your PyTorch models using auto-tuning features through the profiler

Avoid when

Development for local, offline usage only without remote profiling needs
Working with PyTorch versions below 2.0 or incompatible with specific CUDA/Apple silicon versions outlined in installation guide

Observed Jul 17, 2026 · Source: enrich:decision_facts

octoml-profile alternatives Trust report

Verify the decision

Maintenance and security

Full trust report

Maintenance: Dormant (1254d since push); As of Sep 30, 2026
Provenance: Not a fork · Organization account; As of Sep 30, 2026
Security (OSV): No lockfile; As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

git clone https://github.com/octoml/octoml-profile

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

A toolset providing profiling and acceleration utilities for PyTorch models.

Capability facts

No sourced capability facts yet. Facts appear after ingest scans repo manifests (Dockerfile, package.json, MCP configs).

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 30, 2026)

- Create and activate a python virtual environment. `Python 3.8` is recommended

Source link

README

Installation and Getting Started Create and activate a python virtual environment. is recommended and tested on both and . is tested on with Apple silicon. Install dependencies PyTorch 2.0 and above is required. Below we install the cpu version for simplicity; CUDA version works...

For agents

This page has a .md twin and JSON over the API.

/tools/octoml-octoml-profile.md GET /api/graphcanon/tools/octoml-octoml-profile GET /api/graphcanon/graph?tool=octoml-octoml-profile