Average Ratings 2 Ratings
Average Ratings 0 Ratings
Description
Clementine serves as a contemporary music player and a tool for organizing your music library efficiently. This versatile music player is available across multiple platforms and draws inspiration from Amarok 1.4, prioritizing a user-friendly interface that simplifies the process of searching for and playing music. Users can explore and enjoy their personal local music collections while also accessing various internet radio stations, including popular services like Spotify and Soundcloud, among others. Additionally, Clementine allows for the playback of tracks stored in cloud services such as Box, Dropbox, Google Drive, and OneDrive. The application supports the creation of both smart playlists and dynamic playlists, enhancing the listening experience. Features like tabbed playlists, as well as the ability to import and export various playlist formats like M3U and XSPF, further enrich its functionality. Users can also take advantage of CUE sheet support, play audio CDs, and enjoy visualizations through projectM. Moreover, Clementine provides lyrics, artist biographies, and photos, alongside options to transcode music into multiple formats including MP3 and FLAC. It offers tools for editing tags on MP3 and OGG files to help maintain an organized music library and can automatically fetch missing tags from MusicBrainz. Additionally, the software enables users to discover new podcasts and download missing album cover art from Last.fm and Amazon, making it a comprehensive solution for music enthusiasts. With its diverse set of features, Clementine stands out as a powerful companion for anyone looking to manage and enjoy their music collection seamlessly.
Description
Industry 4.0, Big Data, and the Internet of Things represent a diverse array of concepts surrounding interconnected and smart manufacturing. Softgate has introduced SOMA, a sophisticated software solution designed for the seamless capture, visualization, and analysis of production machine data. The potential data sources and applications are virtually endless, as any machine capable of generating data—either inherently or through retrofitted sensors—can connect to SOMA with ease. This capability exemplifies the central idea of those initial buzzwords: integrating machinery with robust IT systems. By leveraging the data collected, these IT platforms can identify patterns that lead to forecasts regarding equipment wear, product quality, or energy usage. SOMA’s modular hardware design facilitates effortless integration, whether for individual machines or entire clusters. Additionally, a centralized data repository enables tailored comparisons and evaluations, enhancing decision-making for both single machines and groups of machines. This holistic approach not only streamlines operations but also empowers manufacturers to optimize their processes effectively.
API Access
Has API
API Access
Has API
Integrations
Axis LMS
Box
Dropbox
Google Drive
Last.fm
Microsoft OneDrive
SoundCloud
Spotify
Integrations
Axis LMS
Box
Dropbox
Google Drive
Last.fm
Microsoft OneDrive
SoundCloud
Spotify
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Clementine
Country
United States
Website
www.clementine-player.org
Vendor Details
Company Name
Softgate
Country
Germany
Website
www.soft-gate.de/en/digitalisierung-von-produktionsmaschinen/
Product Features
Product Features
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery