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vTune

PyPIInfrastructure

PulseGate's liveness check found it on 3 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 29 Aug 2026. How this is checked

vTune is an MIT-licensed command-line package for experimenting with vLLM serving configurations locally. It supports benchmarking and optimization workflows for developers and ML engineers tuning inference deployments.

Inferred · not functionally tested

Open SourceMITCLISelf-hosted
Visit PyPI
1star
5features
2026since

Overview

5 features

Purpose: Optimizing and benchmarking vLLM inference-serving configurations without relying on hosted infrastructure.

Inferred · not functionally tested

Audience: ML engineers and developers operating vLLM inference servers

Inferred · not functionally tested

Functions: analytics, monitoring

Inferred · not functionally tested

Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

vTune sits in PulseGate's Inference & model serving category. Inferred · not functionally tested: It focuses on optimizing and benchmarking vLLM inference-serving configurations without relying on hosted infrastructure. Inferred · not functionally tested: It is built as an open-source project for ML engineers and developers operating vLLM inference servers. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It ships for the command line, and it can be self-hosted.

Behind vTune is brtydse100, and it first shipped in 2026. Development happens publicly on GitHub with 22 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include local experiments, vLLM configuration, and serving benchmarks.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Local experiments
  • vLLM configuration
  • Serving benchmarks
  • Inference optimization
  • Guidellm integration

Topics: Inferred · not functionally tested

Tags
vllm-benchmarkinginference-optimizationserving-configurationslocal-experimentation
AI capabilities
TextStructured
Inference: Local

JSON profile · Text profile · Access guide

Built with & integrations

AI providers
local_oss
Runs on
CLISelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tierGitHub · ★ 1Active maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed29 Aug · 23:50 UTC
    vtune seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about vTune

What is vTune?
Inferred · not functionally tested: VTune focuses on optimizing and benchmarking vLLM inference-serving configurations without relying on hosted infrastructure. It is catalogued under Inference & model serving on PulseGate.
Who should use vTune?
Inferred · not functionally tested: vTune is an open-source project built for ML engineers and developers operating vLLM inference servers.
Is vTune free?
Basis unknown · not verified: Yes — vTune is open source under the MIT license and free to use.
What platforms does vTune run on?
Basis unknown · not verified: vTune runs on the command line. It can also be self-hosted.
Is vTune still active?
PulseGate's liveness check found it on 3 Oct 2026. Its GitHub repository shows 22 commits in the last 90 days.
Who makes vTune?
vTune is developed by brtydse100.
How long has vTune been around?
vTune first shipped in 2026.
Is vTune open source?
Basis unknown · not verified: Yes — vTune is open source under the MIT license, developed on GitHub.

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