arriven/db1000n
None observed · 2026-08-28
Health v2 · maintenance only
23/100
- Activity 0
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1649
- days_rel: n/a
- days_push: 921
- n_releases_24m: 0
Adoption not part of the score
1148 stars · 192 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
db1000n is a simple distributed load generation tool written in Go that fetches a JSON config from a local or remote location and runs the described load generation jobs in parallel. It was created as an open-source alternative to existing load generation tools.
Use cases
- generate load against a target for load testing
- run distributed load generation jobs from a JSON config
- stress test my own web service
- fetch remote config and launch parallel load jobs
- open source alternative to commercial load generation tools
When to choose
- you need a simple, config-driven distributed load generator
- you want a lightweight open-source Go tool for load testing
- you need to run many parallel load jobs from a shared remote config
When to avoid
- you need detailed metrics, reporting, or realistic user simulation from mature load testing tools like k6 or Locust
- you cannot legally or ethically direct load at the target system
- you need a GUI or managed cloud load testing service
Facets
cli-tool · maturity maintenance
load-testing http-client cli developer-tools testing networking windows go cli load-generation distributed-load-testing stress-testing config-driven linux macos docker
1 source
- readme: https://github.com/arriven/db1000n · fetched 2026-08-28 · f24f766b5821
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| arriven/db1000n | main | 23 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem