BenchRank
#44 in Monitoring & ObservabilityUpdated 2026-08

Peekaping

by Peekaping · Self-hosted uptime monitoring for websites, APIs and infrastructure

BenchRank score

29.6 — BenchRank score out of 100

Screenshots of Peekaping

Homepage · Peekaping

Homepage of Peekaping

Overview

Peekaping is a self-hosted uptime monitor written in Go with a React and TypeScript dashboard, deployed with Docker. It checks HTTP/HTTPS, TCP, ping, DNS, gRPC, SNMP, Docker containers, databases and message brokers, and sends alerts through email, webhooks, chat tools and on-call services. It publishes public or private status pages and stores data in SQLite, PostgreSQL or MongoDB.

Best for
Small teams that want to run their own uptime monitoring for websites, APIs and infrastructure.
Pricing
No prices are shown; the page describes the project as 100% open source and self-hosted, so hosting costs are your own.
Runs on
Self-hosted

Strengths and trade-offs

Strengths

  • Checks HTTP, TCP, ping, DNS, gRPC, SNMP, Docker and databases
  • Alerts via Slack, Telegram, email, webhooks, PagerDuty, ntfy
  • Storage is selectable: SQLite, PostgreSQL or MongoDB
  • Runs entirely in your environment, with data kept on your server

Trade-offs

  • Self-hosted only; the page says no hosted option exists yet
  • You supply and maintain the server, database and upgrades
  • Early-stage project: 1.2K GitHub stars and few testimonials

How Peekaping markets itself

A structured read of the promise, proof and page design on Peekaping’s captured homepage.

Homepage capture

“Open Source & Self-Hosted uptime monitoring for small teams to catch outages before users do”

  • Angle: Open source / ownership
  • Hero: Product screenshot

Pricing

Published plans and prices from Peekaping’s own pricing page.

How this score is made up

Each dimension is scored out of 100 and combined into the headline score using fixed weights.

  • MCP support

    Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.

  • API quality

    Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.

  • Documentation

    Publicly reachable docs — coverage, freshness, code samples and machine readability.

  • Agent friendliness

    How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.

  • Changelog

    A public, dated record of what shipped and when — the clearest signal that a product is still alive.

  • Marketing site structure

    Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.

  • Page speed

    How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.

  • Operational trust

    Status page and incident history, security disclosure, compliance and data-processing documentation.

Measured, but not part of the score

Useful to know, but not a mark for or against the product — so these do not affect the ranking.

  • Openness

    Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.

  • Maintenance

    Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.

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Where this comes from

The Peekaping pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.

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