CClauncher vs Local NLP Backend

Side-by-side comparison of two open source alternatives

CClauncher

CCLauncher is a minimalist Android launcher designed to help reduce screen time and distractions due to all the apps present (like social media apps for example). Unlike traditional launchers, apps are hidden by default. Key Features: - Apps invisible by default (type to search) - Digital wellbeing tools (screen time tracking) - Double-tap to lock screen - Customizable gestures (swipe left/right/up/down shortcuts) - App renaming/hiding capabilities - Plain black/white wallpapers for focus - No ads, no tracking, no internet permission - 100% private Usage Tips: 1. Swipe up to search apps 2. Long press empty space for settings 3. Enable double-tap lock in Accessibility settings 4. Rename duplicate-named apps for easier launching This is a modern rewrite of Clauncher using Kotlin and Jetpack Compose, maintaining most of the minimalism while improving functionality (and maybe performance...)

Local NLP Backend

The backend passively monitors the GPS and scans for nearby WiFis and mobile cells/towers. From this a database of emitter locations is created. When UnifiedNlp / microG request a location from Local NLP Backend, a scan for nearby emitter is initiated and a location determined based on the scan results. Local NLP Backend is a fork of the Déjà Vu NLP Backend with some improvements and a crude UI for configuration and importing / exporting data, including cell lists from MLS or OpenCelliD. This backend uses no network data. All data acquired by the phone stays on the phone, though it may be exported manually. How to use: Local NLP Backend can be used like Déjà Vu: just enable the backend and let it build up the database by frequently having GPS enabled, e.g. using a map app. If you have a Déjà Vu database (you'll need root privileged to extract it), it can be imported in Local NLP Backend. Further import options are databases exported by Local NLP Backend, and cell csv files from MLS or OpenCelliD. Note that the local database needs to be filled, either using GPS or by importing data, before Local NLP Backend can provide locations! In order to speed up building the database, LocalNLP has an optional active mode that enabled GPS when there is no known emitter nearby (low setting) or when any unknown emitter is found (aggressive setting). Note that microG has stopped supporting UnifiedNlp backends with 0.2.28. If you still want to use this backend (or others), you need to use older microG versions. This can only be recommended if you use microG for location only. Personally I use 0.2.10, as with later versions location backends stop providing locations after some time.

FeatureCClauncherLocal NLP Backend
LicenseGPL-3.0-onlyGPL-3.0-or-later
Install sources
F-DroidGitHubIzzyOnDroid
F-DroidGitHubIzzyOnDroid
Categories
ProductivityLauncherNavigation
ProductivityNavigation
Features
Ad-FreeOpen SourceNo Tracking
Ad-FreeOpen SourceNo Tracking
Platforms
Android
Android
Website
Source code