iNet vs BO Lab

iNet – Know Your Network. See at a glance what’s happening on your network. Which devices are connected to your Wi-Fi? Are there any unknown devices? Which services are active? iNet gives you a clear overview of what’s happening on your local network – and provides the right tools for a closer analysis. Whether at home or as a network professional, iNet lets you scan your network, identify connected devices, find active services and open ports, and wake Macs, PCs, and other devices remotely. Give your devices custom names and icons so you can recognize them instantly the next time you scan your network. With this free and ad-free version of iNet, you can scan your network and view all connected devices. The features listed here can be unlocked later via an in-app purchase if needed. Network Scanner • Find all devices on your network • View IP and MAC addresses and other device information • Assign custom names and icons to your devices • Set IP scan ranges and network interfaces • Export scan results as CSV or PDF • Connect directly via SSH, VNC, HTTP, and other services Bonjour Monitor • Monitor Bonjour services in real time • See which services are available on individual devices • View detailed information about services and domains Port Scanner • Find open ports on all devices • Use predefined port scan lists Wake on LAN • Wake Macs, PCs, and other compatible devices over LAN or the Internet • Put Macs to sleep, shut them down, or restart them remotely • Execute SSH commands • Save frequently used devices as favorites Help & Documentation • Built-in help in German and English Privacy Included. Your network data stays with you. iNet collects no user data and requires no account or sign-in. There are no subscriptions or recurring fees. Buy iNet once – future updates are included. Developed and maintained in Germany since 2010. iNet is also available as a native Mac and iPad version.

TIM SDL(BO Lab)은 베이지안 최적화(BO)를 활용해 열전소재 실험 조건을 추천하고, 실험 결과(φ, 두께, 점도, TC, D_CV)를 기록·시각화하는 팀 협업 앱입니다. 주요 기능 - BO 기반 다음 실험 조건 추천 - 실험군/대조군 결과 비교 및 파레토 프론트 시각화 - 팀 단위 실험 세션 공유 - 현미경 사진 기반 분산도(D_CV) 분석 보조