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porchbench

PyPI·Infrastructure

porchbench is an open-source CLI tool designed for rigorous benchmarking and evaluation of local large language models (LLMs). It provides paired statistics, LLM-as-judge scoring, and ensures reproducible runs, making it ideal for AI researchers and developers who need to assess the quality and performance of local AI models. The tool supports integration with local inference engines such as Ollama and quantized models.

Open SourceApache-2.0CLISelf-hosted
Visit PyPI↗

Overview

6 features

porchbench is a LLM eval & observability project. It enables developers to rigorously benchmark and evaluate the quality of local LLMs with reproducible and automated scoring. It is built as an open-source project for AI researchers and developers working with local language models. porchbench is open source under the Apache-2.0 license. It runs on the command line, and it can be self-hosted.

Behind porchbench is mmdevelops, and it first shipped in 2026. Development happens publicly on GitHub with 138 commits in the last 90 days. Among its 6 catalogued features are paired statistics, LLM-as-judge scoring, and reproducible runs.

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

  • ✓Paired statistics
  • ✓LLM-as-judge scoring
  • ✓Reproducible runs
  • ✓Local LLM support
  • ✓Quantization support
  • ✓Routing evaluation
Tags
llm-benchmarkinglocal-llmmodel-evaluationllm-as-judgereproducible-eval
AI capabilities
Text
Inference: Local

Built with & integrations

AI providers
anthropiclocal_oss
Runs on
CLISelf-hosted

Trust & compliance

License
Apache-2.0
Verified signals
✓HTTPS✓Open Source✓Free tier✓GitHub✓Active maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed1 Jul · 19:26 UTC
    porchbench verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about porchbench

What is porchbench?
Porchbench enables developers to rigorously benchmark and evaluate the quality of local LLMs with reproducible and automated scoring. It is catalogued under LLM eval & observability on PulseGate.
Who should use porchbench?
porchbench is an open-source project built for AI researchers and developers working with local language models.
Is porchbench free?
Yes — porchbench is open source under the Apache-2.0 license and free to use.
What platforms does porchbench run on?
porchbench runs on the command line. It can also be self-hosted.
Is porchbench still active?
The GitHub repository shows 138 commits in the last 90 days.
What are alternatives to porchbench?
Similar projects tracked by PulseGate include BenchLoop, homebench, and llm-benchmark-runner.BenchLoophomebenchllm-benchmark-runner
Who makes porchbench?
porchbench is developed by mmdevelops.
When did porchbench launch?
porchbench first shipped in 2026.

At a glance

Platforms
Cli
Languages
English
Open source
Yes (GitHub)
License
Apache-2.0
Built for
AI researchers and developers working with local language models
Model
Open source
Solves
Enables developers to rigorously benchmark and evaluate the quality of local LLMs with reproducible and automated scoring.

Registered as

GitHub
mmdevelops/porchbench
PyPI
porchbench

Developer

mmdevelops
Solo developer
↗ GitHub

Open source

View on GitHub →
Stars
0
Forks
0
Open issues
0
Last commit
1 Jul 2026
Commits 90d
138
Contributors
1
Authorship
Solo
Default branch
main

Index record

Identity confidence
Low · 64
Indexed
1 Jul 2026
Lifecycle
Alive
Last seen
1 Jul 2026
Identity audit (12)
Slug
porchbench-pypi-org
Lifecycle last checked
8 Aug 2026
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
1 Jul 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.
Canonical URL
https://pypi.org/project/porchbench

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