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benchwolf

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 31 Aug 2026. How this is checked

benchwolf is an open-source command-line tool for benchmarking local large language model workloads. It measures throughput, latency, memory pressure, power consumption, and lightweight quality on user-owned hardware, including local inference setups such as Ollama.

Inferred · not functionally tested

Open SourceApache-2.0CLISelf-hosted
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Overview

6 features

Purpose: Measuring local LLM performance, resource consumption, power use, and quality across personal hardware.

Inferred · not functionally tested

Audience: developers and ML engineers benchmarking local LLMs

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: Apache-2.0 · 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.

In the CLI tools & terminal space, benchwolf takes a focused approach. Inferred · not functionally tested: It focuses on measuring local LLM performance, resource consumption, power use, and quality across personal hardware. Inferred · not functionally tested: It is built as an open-source project for developers and ML engineers benchmarking local LLMs. Basis unknown · not verified: benchwolf is open source under the Apache-2.0 license. Basis unknown · not verified: It runs on the command line, and it can be self-hosted.

It is developed by Chandan Pandey, and it first shipped in 2026. Development happens publicly on GitHub with 9 commits in the last 90 days. Inferred · not functionally tested: Among its 6 catalogued features are throughput testing, latency measurement, and memory profiling.

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

Tasks: Inferred · not functionally tested

  • Throughput testing
  • Latency measurement
  • Memory profiling
  • Power monitoring
  • Quality evaluation
  • Local hardware testing

Topics: Inferred · not functionally tested

Tags
local-llm-benchmarkinginference-performancehardware-profilingollama-benchmarking
AI capabilities
Text
Inference: Local

JSON profile · Text profile · Access guide

Built with & integrations

Runs on
CLISelf-hosted

Trust & compliance

License
Apache-2.0
Public signals
HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed31 Aug · 23:33 UTC
    benchwolf seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about benchwolf

What does benchwolf do?
Inferred · not functionally tested: Benchwolf focuses on measuring local LLM performance, resource consumption, power use, and quality across personal hardware. It is catalogued under CLI tools & terminal on PulseGate.
Who should use benchwolf?
Inferred · not functionally tested: benchwolf is an open-source project built for developers and ML engineers benchmarking local LLMs.
Does benchwolf have a free plan?
Basis unknown · not verified: Yes — benchwolf is open source under the Apache-2.0 license and free to use.
What platforms does benchwolf run on?
Basis unknown · not verified: benchwolf runs on the command line. It can also be self-hosted.
Is benchwolf still active?
PulseGate's liveness check found it on 3 Oct 2026. Its GitHub repository shows 9 commits in the last 90 days.
What projects are similar to benchwolf?
Similar projects tracked by PulseGate include homebench, bench-my-llm, and benchrig.homebenchbench-my-llmbenchrig
Who develops benchwolf?
benchwolf is developed by Chandan Pandey.
How long has benchwolf been around?
benchwolf first shipped in 2026.

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