NameScout
Search domains, package registries, code hosts, and plugin marketplaces from one practical report. No hype. Just the collisions that matter.
Provider coverage
Live checks across the registries developers actually publish to. Two more on the way.
Report
schemash.com
domain · No decisive DNS answer
GitHub org/user
code · Lookup returned HTTP 403
schemash.dev
domain · No DNS record found
npm
package · Exact package name is clear
PyPI
package · Exact project name is clear
Docker Hub
distribution · No matching org or official image
Grouped results
schemash.com
low confidence · No decisive DNS answer
schemash.dev
medium confidence · No DNS record found
schemash.io
medium confidence · No DNS record found
schemash.app
medium confidence · No DNS record found
schemash.ai
medium confidence · No DNS record found
schemash.co
medium confidence · No DNS record found
npm
high confidence · Exact package name is clear
PyPI
high confidence · Exact project name is clear
crates.io
high confidence · No exact crate found
RubyGems
high confidence · Gem name is clear
Packagist
high confidence · No vendor packages found
GitHub org/user
low confidence · Lookup returned HTTP 403
VS Code
medium confidence · No matching publisher or extension
Docker Hub
high confidence · No matching org or official image
Homebrew
high confidence · No formula or cask found
$ namescout check schemash
A darker, CLI-native direction for developer audiences. Compact, fast, and more report than landing page.
Public registry desk
npm
high
available
Exact package name is clear
PyPI
high
available
Exact project name is clear
GitHub org/user
low
unknown
Lookup returned HTTP 403
Docker Hub
high
available
No matching org or official image
crates.io
high
available
No exact crate found
RubyGems
high
available
Gem name is clear
Recommended action
Buy schemash.dev first
Homebrew
high
available
No formula or cask found
Packagist
high
available
No vendor packages found
VS Code
medium
available
No matching publisher or extension
Near matches
Even when your exact name is free, these are close enough to cause confusion.
linkml/schemasheets
GitHubStructure your data in a FAIR way using google sheets or TSVs. These are then converted to LinkML, and from there other formats
ruaridhw/schemashift
GitHubETLs made easy for LLMs using Polars expressions and Pydantic validation
NaveenRawat19/SchemaShift
GitHubsivaharishdutt/SchemaShift-AI
GitHubAn AI-powered Retrieval-Augmented Generation (RAG) project that translates SQL queries/scripts across databases (e.g., MySQL → PostgreSQL) using a custom rule-based knowledge base, vector search, and Large Language Models. Built to automate SQL migration, improve query portability, and reduce manual conversion effort for developers and data teams.