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Average Ratings 0 Ratings

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ease
features
design
support

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Description

DeviceShelf provides a comprehensive mapping of your local network, ensuring that the entire map is stored securely on your own device. A single scan reveals detailed information about each device that responds, including vendor information, hostname, operating system, and device type, along with insights into open ports and their implications for security. It simultaneously scans all adapters, identifies devices using MAC OUI, DNS, mDNS/Bonjour, NetBIOS, TTL, and DHCP fingerprints, and enumerates open TCP and UDP ports while detecting services, culminating in a prioritized security report that highlights exposed services like Telnet, RDP, ADB, Docker API, or Redis, along with information about default credentials, weak TLS configurations, and known CVEs, each accompanied by recommended fixes and risk scores ranging from 0 to 100. In addition, it continuously monitors network activity, tracking when devices connect or disconnect and providing real-time metrics on uptime, latency, and bandwidth usage for every device connected to the network. There’s no need for an account, as DeviceShelf operates without telemetry or cloud synchronization, ensuring that scan results remain confined to the originating computer; moreover, its optional AI assistant can function using either your own API key or a local model. Furthermore, a single license grants access to desktop, mobile, and a 24/7 server edition, making it a versatile solution for network management.

Description

Fing Device Intelligence and Knowledge provides comprehensive visibility into your connected ecosystem. The cornerstone of digital products lies in Device Recognition. Using just the MAC address, Fing is capable of identifying both wireless and wired devices across home, office, or enterprise networks by their type, manufacturer, model, and operating system (including name and version). With over a decade of experience in the market, Fing has established a strong brand presence, specializing in device identification technology specifically for the Internet of Things (IoT). To enhance device recognition accuracy, Fing utilizes crowdsourcing, which helps validate and refine its data. Additionally, machine learning techniques are employed to analyze this crowdsourced information. Fing has created an innovative patented algorithm that can identify devices based solely on MAC address analysis, differentiating itself from simple Vendor lookup methods. By choosing Fing, you can achieve exceptional device recognition at a significantly lower cost compared to developing an in-house solution from the ground up. This approach not only accelerates your time-to-market but also minimizes ongoing maintenance expenses. Ultimately, Fing empowers organizations to efficiently manage their digital environments while optimizing resources.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

No images available

Screenshots View All

Integrations

Stackreaction No 

Integrations

Stackreaction Yes 

Pricing Details

EUR 59, one-time purchase
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows Yes 
Mac Yes 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

DeviceShelf

Founded

2026

Country

Switzerland

Website

deviceshelf.app

Vendor Details

Company Name

Fing

Founded

2009

Country

Ireland

Website

www.fing.com/business

Product Features

Product Features

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