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
surva.com
domain · DNS records found
surva.io
domain · DNS records found
GitHub org/user
code · Lookup returned HTTP 403
Docker Hub
distribution · Rate limited
npm
package · Exact package name is clear
PyPI
package · Exact project name is clear
Grouped results
surva.com
high confidence · DNS records found
surva.dev
medium confidence · No DNS record found
surva.io
high confidence · DNS records found
surva.app
medium confidence · No DNS record found
surva.ai
high confidence · DNS records found
surva.co
high confidence · DNS records 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
low confidence · Rate limited
Homebrew
high confidence · No formula or cask found
$ namescout check surva
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
low
unknown
Rate limited
crates.io
high
available
No exact crate found
RubyGems
high
available
Gem name is clear
Recommended action
Buy surva.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.
didriknielsen/survae_flows
GitHubCode for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
azhartalha/Traffic-Survalance-with-Computer-Vision-and-Deep-Learning
GitHubThe system takes video footage of a highway as input and provides statistics like the count of vehicles and an average estimated speed of vehicles on the highway. The statistics provided by the system can have many applications. Like, pricing the billboards on a highway for advertisement, higher the count of vehicles, higher the price. Moreover, the government can use this statistic to know how many vehicles are entering a city each day. The system internally uses YOLO object detection algorithm for vehicle detection, followed by, Centroid Tracking algorithm for tracking the detected vehicles.
MarcoSteinke/survAPI-Surveillance-Camera-Analysis
GitHubOptimize your surveillance by live analysis of video material.
Fictizia/taller-survapp-t3chfest-2019
GitHubContenidos del taller "Desarrolla tu Survival Alert con Nodejs" del T3chfest'19