homebench
PulseGate's liveness check found it on 14 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 3 Aug 2026. How this is checked
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.
Inferred · not functionally tested
Overview
6 featuresPurpose: Lack of an easy, single-command way to compare performance and quality of locally installed LLMs on personal hardware.
Inferred · not functionally tested
Audience: Developers and AI enthusiasts running local models
Inferred · not functionally tested
Functions: analytics
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.
homebench is a LLM evaluation & benchmarks project. Inferred · not functionally tested: Lack of an easy, single-command way to compare performance and quality of locally installed LLMs on personal hardware. Inferred · not functionally tested: homebench is an open-source project aimed at developers and AI enthusiasts running local models. Basis unknown · not verified: homebench is open source under the MIT license. Basis unknown · not verified: 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. Inferred · not functionally tested: Key capabilities include LLM Benchmarking, Speed Testing, and Memory Measurement.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- LLM Benchmarking
- Speed Testing
- Memory Measurement
- Quality Evaluation
- Terminal UI
- Leaderboard
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
Frequently asked questions about homebench
- What is homebench?
- Inferred · not functionally tested: Lack of an easy, single-command way to compare performance and quality of locally installed LLMs on personal hardware. It is catalogued under LLM evaluation & benchmarks on PulseGate.
- Who should use homebench?
- Inferred · not functionally tested: homebench is an open-source project built for developers and AI enthusiasts running local models.
- Is homebench free?
- Basis unknown · not verified: Yes — homebench is open source under the MIT license and free to use.
- What platforms does homebench run on?
- Basis unknown · not verified: homebench runs on the command line. It can also be self-hosted.
- Is homebench still maintained?
- PulseGate's liveness check found it on 14 Sep 2026. Its GitHub repository shows 12 commits in the last 90 days.
- What are alternatives to homebench?
- Similar projects tracked by PulseGate include porchbench, benchwolf, and BenchLoop.porchbenchbenchwolfBenchLoop
- Who makes homebench?
- homebench is developed by david-g-3654.
- When did homebench launch?
- homebench first shipped in 2026.
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