CooliApp vs Qdrant Viewer

CooliApp is the companion app for Coolify, the open-source self-hosting platform. Manage your entire cloud infrastructure directly from your iPhone. Projects & Services Browse your projects, environments, and services at a glance. View application details, check deployment history, and read live logs — all without opening a browser. Servers Keep an eye on all your connected servers. Quickly verify which servers are online and access their details in seconds. Deployments Track your deployments in real-time. See queued, in-progress, and completed deployments with automatic status polling so you always know what's happening. Home Screen Widgets Add health check widgets for your instances, applications, and services directly to your home screen. Know the status of your infrastructure at a glance without even opening the app. Multi-Instance Support Connect multiple Coolify instances and switch between them effortlessly. Built for Privacy Your API tokens are stored securely on your device. CooliApp connects directly to your Coolify instances — no third-party servers involved. Designed for iOS - Native SwiftUI interface with light and dark mode - Face ID / Touch ID lock for added security - Customizable tab bar - Follow Coolify releases from the app CooliApp requires a self-hosted Coolify instance (v4+) with API access enabled.

Qdrant Viewer is a client app for connecting directly from your iPhone to vector databases hosted either self-hosted or on Qdrant Cloud, allowing you to inspect collections and perform semantic searches. Key Features: - Built-in Demo Environment: Immediately try vector search with approximately 30,000 MeSH (Medical Subject Headings) vectors, with no configuration required. - Flexible Connection Settings: Supports connection via REST API, including authentication with api-key, Bearer tokens, and custom headers. - Collection Information Display: View the number of points, segments, vector dimensions, and distance function. Alias names are prioritized if set. - Semantic Search: Perform vector searches using natural language. Adjust the number of results and score threshold for each search. - Flexible Result Display: Select and list any field within the payload (supports nested structures). Detailed inspection in JSON format is also available. - 3D Visualization: Project search results into a three-dimensional space to visually explore the distance relationships between vectors. - Multiple Embedding Engines: Supports Qdrant Built-in, OpenAI, Google, Hugging Face, Cohere, and custom APIs. - Data Source: Uses MeSH (U.S. National Library of Medicine, public domain) as demo data. The embedding model is intfloat/multilingual-e5-small, licensed under the MIT License.