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wtf is execution-payloads-benchmarks?

gakonst/execution-payloads-benchmarks — explained in plain English

Analysis updated 2026-08-04 · repo last pushed 2026-01-15

Audience · developerComplexity · 4/5QuietSetup · hard

TL;DR

A benchmarking tool that tests how Ethereum blockchain clients perform under heavy transaction loads. It spins up clients in Docker, fires realistic transactions at them, and collects detailed performance metrics for engineers and researchers.

Mindmap

mindmap
  root((repo))
    What it does
      Spins up clients
      Fires transactions
      Collects metrics
    Tech stack
      Docker
      Grafana K6
      Prometheus
      Grafana Pyroscope
    Use cases
      Client performance testing
      Production deployment evaluation
      Throughput optimization
    Audience
      Blockchain engineers
      Researchers
    Observability
      Live metrics streaming
      Profiling data
      JSON output files
    Status
      Pyroscope WIP

Code map

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Why would anyone build with this?

REASON 1

Benchmark different Ethereum execution clients against each other to pick the best one for production deployment.

REASON 2

Run high-throughput transaction scenarios to find performance bottlenecks in your blockchain node software.

REASON 3

Compare client versions under sustained pressure to verify that optimizations actually improve performance.

REASON 4

Stream live performance metrics to Prometheus and Pyroscope to visualize client behavior in real time during tests.

What's in the stack?

DockerGrafana K6PrometheusGrafana PyroscopeJSON

How it stacks up

gakonst/execution-payloads-benchmarks00kaku/gallery-slider-block04amanrajj/netwatch
Stars0
LanguageJavaScriptRust
Last pushed2026-01-152021-05-19
MaintenanceQuietDormant
Setup difficultyhardeasymoderate
Complexity4/52/53/5
Audiencedevelopergeneralops devops

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

How do you spin it up?

Difficulty · hard Time to first run · 1h+

Requires Docker plus a configured Grafana K6 environment, and Prometheus/Pyroscope setup for live observability features.

The license for this repository is not specified in the available documentation.

Wtf does this do

Execution Payloads Benchmarks is a testing tool that measures how well Ethereum execution clients handle realistic workloads. If you're building or evaluating blockchain node software and need to know how it performs under stress, this tool automates the process of spinning up clients, blasting them with transactions, and collecting detailed performance data. At a high level, you write a configuration file describing what you want to test, which client, which scenarios, how long, and so on. The tool then uses Docker to spin up an isolated environment, runs the scenario against the execution client, and uses Grafana K6 (a popular load-testing tool) to generate and fire transaction payloads at the client. After the run, it dumps everything into an output directory: client logs, K6 test scripts, performance summaries, and raw metrics. The target users are blockchain engineers and researchers who need hard numbers on how different execution clients behave under load. For example, if your team is optimizing a client for high-throughput environments, you'd run a scenario that simulates a busy block and compare processing times across versions. Or if you're evaluating which client to deploy in production, you could run multiple scenarios in a loop to see which one holds up best over sustained pressure. A notable aspect of the project is its heavy use of the Grafana ecosystem for observability. Beyond writing results to local JSON files, it can stream live metrics to Prometheus and send profiling data to Grafana Pyroscope, which lets you visualize what's happening inside the client in real time. This makes it less of a simple benchmark script and more of a full performance lab setup. The README notes that Pyroscope integration is still a work in progress, so some features may not be fully polished yet.

Yoink these prompts

Prompt 1
Write a configuration file for execution-payloads-benchmarks that benchmarks the Geth Ethereum client under a high-throughput block scenario for 10 minutes using Docker.
Prompt 2
Set up Prometheus and Grafana Pyroscope to receive live metrics from an execution-payloads-benchmarks run so I can visualize client performance in real time.
Prompt 3
Create a loop of multiple benchmark scenarios using execution-payloads-benchmarks to compare how different Ethereum execution clients handle sustained transaction pressure over a 30-minute window.
Prompt 4
Generate a summary comparison table from the JSON output files produced by execution-payloads-benchmarks showing average transaction processing times across three different client configurations.

Frequently asked questions

wtf is execution-payloads-benchmarks?

A benchmarking tool that tests how Ethereum blockchain clients perform under heavy transaction loads. It spins up clients in Docker, fires realistic transactions at them, and collects detailed performance metrics for engineers and researchers.

Is execution-payloads-benchmarks actively maintained?

Quiet — no commits in 6-12 months (last push 2026-01-15).

What license does execution-payloads-benchmarks use?

The license for this repository is not specified in the available documentation.

How hard is execution-payloads-benchmarks to set up?

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

Who is execution-payloads-benchmarks for?

Mainly developer.

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