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unionlabs/galois-benchmark

Analysis updated 2026-07-03 · repo last pushed 2024-01-15

HTMLAudience · researcherComplexity · 4/5DormantSetup · hard

TLDR

Benchmarks how fast the Galois prover generates zero-knowledge proofs for blockchain consensus across different validator counts. Results are compiled into an HTML report with timing and circuit details.

Mindmap

mindmap
  root((repo))
    What it does
      Measures proof generation speed
      Tests different validator counts
      Produces HTML report
    Tech stack
      HTML reports
      Nix package manager
      Zero-knowledge proofs
    Use cases
      Scaling protocol decisions
      Comparing prover performance
      Tracking version improvements
    Audience
      Protocol engineers
      Founders evaluating ZK
      Blockchain infrastructure teams
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What do people build with it?

USE CASE 1

Determine if proof generation stays fast enough when scaling a blockchain network to 128 validators.

USE CASE 2

Compare zero-knowledge prover performance across different network sizes to inform infrastructure decisions.

USE CASE 3

Track how proof generation speed improves across prover versions using historical benchmark results.

USE CASE 4

Evaluate ZK proof systems against alternatives using concrete performance data points.

What is it built with?

HTMLNixZero-knowledge proofsCometBLS

How does it compare?

unionlabs/galois-benchmarkanikchand461/ragbucketclvv/hf-uncensored-model-popularity
Stars00
LanguageHTMLHTMLHTML
Last pushed2024-01-15
MaintenanceDormant
Setup difficultyhardeasyeasy
Complexity4/52/52/5
Audienceresearcherdeveloperdata

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · hard Time to first run · 1h+

Requires Nix package manager and a GitHub access token to pull necessary code.

In plain English

This project measures how fast a specialized system can generate cryptographic proofs for blockchain consensus. Specifically, it benchmarks "Galois," a prover that creates zero-knowledge proofs for CometBLS circuits. The practical goal is to understand how long it takes for a client to send a request to a server, have that server generate a proof, and receive the result back, across networks with different numbers of validators. The benchmark works by testing the prover under increasing loads. It runs through scenarios with 4, 8, 16, 32, 64, and 128 maximum validators, measuring the full round-trip time for each. Along with timing, it extracts details about the underlying circuit, like how many constraints it has, the size of the inputs, and other characteristics that affect performance. Results are compiled into an HTML report. This tool is built for teams working on Union's blockchain infrastructure or similar zero-knowledge proof systems. For example, a protocol engineer deciding whether their network can scale to 128 validators needs to know if proof generation stays fast enough at that size. The published results, run on a specific AWS instance type with 128 CPUs and 256GB of RAM, give concrete data points to inform those decisions. A project manager or founder evaluating ZK proof systems could also use these numbers to compare performance against alternatives. Running the benchmark yourself requires a specific setup. It uses Nix, a package manager that ensures the environment is identical across machines, and you need a GitHub access token to pull the necessary code. The project maintains benchmark results from three versions of the prover, so you can see how performance has improved over time without running anything yourself.

Copy-paste prompts

Prompt 1
Based on the Galois benchmark results, write an analysis of how proof generation round-trip time scales as validator count increases from 4 to 128, highlighting any significant performance cliffs.
Prompt 2
Create a presentation slide summarizing the Galois benchmark findings, showing the relationship between validator count and proof generation time, suitable for a non-technical founder audience.
Prompt 3
Using the Galois benchmark methodology as a template, outline a benchmarking plan for comparing two different zero-knowledge prover systems across network sizes of 16, 32, and 64 validators.
Prompt 4
Summarize the performance improvements seen across the three versions of the Galois prover and identify which validator counts saw the biggest gains in proof generation speed.

Frequently asked questions

What is galois-benchmark?

Benchmarks how fast the Galois prover generates zero-knowledge proofs for blockchain consensus across different validator counts. Results are compiled into an HTML report with timing and circuit details.

What language is galois-benchmark written in?

Mainly HTML. The stack also includes HTML, Nix, Zero-knowledge proofs.

Is galois-benchmark actively maintained?

Dormant — no commits in 2+ years (last push 2024-01-15).

How hard is galois-benchmark to set up?

Setup difficulty is rated hard, with roughly 1h+ to a first successful run.

Who is galois-benchmark for?

Mainly researcher.

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