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homebench

PyPI·Infrastructure

Homebench provides a simple terminal-based interface to benchmark locally installed large language models. It measures tokens-per-second, memory consumption, and output quality, then presents results in a clear leaderboard format. Built for users of tools like Ollama, it helps developers and enthusiasts quickly evaluate and compare different local LLMs on their own laptops without complex setup.

Open SourceMITCLISelf-hosted
Visit PyPI↗

Overview

6 features

homebench is a Developer Tools project. Lack of an easy, single-command way to compare performance and quality of locally installed LLMs on personal hardware. homebench is an open-source project aimed at developers and AI enthusiasts running local models. homebench is open source under the MIT license. It ships for the command line, and it can be self-hosted.

david-g-3654 builds and maintains homebench, and it first shipped in 2026. The project is developed in the open on GitHub with 12 commits in the last 90 days. Key capabilities include LLM Benchmarking, Speed Testing, and Memory Measurement.

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

  • ✓LLM Benchmarking
  • ✓Speed Testing
  • ✓Memory Measurement
  • ✓Quality Evaluation
  • ✓Terminal UI
  • ✓Leaderboard
Tags
llm-benchmarklocal-llmtui-toolmodel-evaluation
AI capabilities
Text
Inference: Local

Built with & integrations

AI providers
local_oss
Runs on
CLISelf-hosted

Trust & compliance

License
MIT
Verified signals
✓HTTPS✓Open Source✓Free tier✓GitHub✓Active maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed3 Aug · 06:08 UTC
    homebench verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about homebench

What is homebench?
Lack of an easy, single-command way to compare performance and quality of locally installed LLMs on personal hardware. It is catalogued under Developer Tools on PulseGate.
Who should use homebench?
homebench is an open-source project built for developers and AI enthusiasts running local models.
Is homebench free?
Yes — homebench is open source under the MIT license and free to use.
What platforms does homebench run on?
homebench runs on the command line. It can also be self-hosted.
Is homebench still maintained?
The GitHub repository shows 12 commits in the last 90 days.
What are alternatives to homebench?
Similar projects tracked by PulseGate include EfficiencyNext Data Connector, System Information Widgets, and CKB.EfficiencyNext Data ConnectorSystem Information WidgetsCKB
Who makes homebench?
homebench is developed by david-g-3654.
When did homebench launch?
homebench first shipped in 2026.

At a glance

Platforms
Cli
Languages
English
Open source
Yes (GitHub)
License
MIT
Built for
Developers and AI enthusiasts running local models
Model
Open source
Solves
Lack of an easy, single-command way to compare performance and quality of locally installed LLMs on personal hardware.

Registered as

GitHub
david-g-3654/homebench
PyPI
homebench

Developer

david-g-3654
Small team
↗ GitHub

Open source

View on GitHub →
Stars
0
Forks
0
Open issues
0
Last commit
3 Aug 2026
Commits 90d
12
Contributors
2
Authorship
Small team
Default branch
main

Live coverage

Identity confidence
Low · 64
Indexed
3 Aug 2026
Lifecycle
Alive
Last seen
3 Aug 2026
Identity audit (13)
Slug
homebench-pypi-org
Lifecycle state recorded
3 Aug 2026
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
3 Aug 2026
Timeline basis
Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from
Written by a language model from the project's public pages.
Category from
Assigned by a language model.
Summary from
Written by a language model from public pages.
Languages from
Detected by a language model from page content.
Last updated
4 Aug 2026
Canonical URL
https://pypi.org/project/homebench

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