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Stellarhound

Scores each night's cloud cover and moonlight to forecast stargazing conditions and nearby dark sky sites.

Actively maintained

At a glanceswept Oct 13, 2026

≈ 5visits/mo

Use not read yet · estimate, read Oct 14, 2026

For
stargazers deciding whether tonight's sky is worth going out for
Activity
Actively maintainedsite updated 11 days ago
Used for
  • check cloud and moon scores for the coming nights
  • find nearby dark sky sites within driving distance
  • time a meteor shower viewing around moonset
Worth knowingcomputed from what we read · each with its source
How a program reaches itfound, not claimed · read Oct 20, 2026
  • MCP servercom.stellarhound/stellarhound-mcpverified in the MCP registry
  • Stateanswers, 5 toolschecked 2026-10-20
  • Address to connectstellarhound.com/mcp
  • OpenAPI spec12 pathsthe spec ↗

MCP server details →

This card as JSON, for your agent →

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.

Alternatives in Analyticsby use, among tools still maintained

Figure and bar: visits/mo, estimate · year: online since

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Questions this page answers
  • What is Stellarhound?

    Scores each night's cloud cover and moonlight to forecast stargazing conditions and nearby dark sky sites. It is listed in the Atlas under Analytics.

  • Who is Stellarhound for?

    stargazers deciding whether tonight's sky is worth going out for

  • Is Stellarhound still maintained?

    Actively maintained: site updated 11 days ago.

  • What are alternatives to Stellarhound?

    In Analytics, by use: Windshield Weather, Wolfram, Xweather, Databricks, Dovetail AI, OEC BotMarket.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.

How we read every tool → · By INITE Atlas Desk