Pros of Plex-Trakt-Scrobbler

• Seamless integration with Plex and Trakt for automatic scrobbling
• Supports multiple Plex users and servers
• More mature project with a larger user base and longer development history

Cons of Plex-Trakt-Scrobbler

• Limited to Plex and Trakt ecosystems
• Requires Plex Pass for certain features
• Less focus on modern UI and user experience

Code Comparison

Plex-Trakt-Scrobbler (Python):

def get_session(self, response):
    for key, value in self.sessions.items():
        if value.get('response') == response:
            return key

    return None

Watcharr (TypeScript):

export const getWatchProviders = async (tmdbId: number, type: string) => {
  const res = await fetch(`${TMDB_API_URL}/${type}/${tmdbId}/watch/providers?api_key=${TMDB_API_KEY}`);
  const data = await res.json();
  return data.results;
};

The code snippets show different languages and functionalities. Plex-Trakt-Scrobbler uses Python for session management, while Watcharr uses TypeScript for API interactions with TMDB.

Watcharr focuses on providing a modern, self-hosted alternative to Trakt with a clean UI and support for multiple tracking sources. It's newer and may have fewer features but offers more flexibility in terms of data sources and self-hosting options.

Pros of Jellyfin

• More mature and feature-rich media server solution
• Larger community and active development
• Supports a wide range of client devices and platforms

Cons of Jellyfin

• More complex setup and configuration
• Heavier resource usage due to its comprehensive feature set
• Steeper learning curve for new users

Code Comparison

Jellyfin (C#):

public class MediaBrowser : IDisposable
{
    private readonly ILogger<MediaBrowser> _logger;
    private readonly ILibraryManager _libraryManager;
    // ...
}

Watcharr (TypeScript):

export default class MediaManager {
  private readonly logger: Logger;
  private readonly library: LibraryService;
  // ...
}

Summary

Jellyfin is a comprehensive media server solution with a large community and extensive features, while Watcharr appears to be a newer, potentially lighter-weight alternative. Jellyfin offers broader device support and more advanced functionality but may require more resources and setup time. Watcharr might be simpler to use but may lack some of the advanced features found in Jellyfin. The code comparison shows similar structure in managing media libraries, with Jellyfin using C# and Watcharr using TypeScript.

Pros of Tautulli

• More mature and feature-rich project with extensive Plex integration
• Provides detailed analytics and monitoring for Plex Media Server
• Supports notifications and custom scripts for various events

Cons of Tautulli

• Focused solely on Plex, limiting its use for other media servers
• More complex setup and configuration process
• Requires a separate installation alongside Plex

Code Comparison

Tautulli (Python):

def get_stream_details(self, row):
    stream_count = []
    for item in row['session_key'].split(','):
        if item:
            stream_count.append(item)
    stream_count = len(stream_count)
    return stream_count

Watcharr (JavaScript):

export const getWatchProviders = async (tmdbId, type) => {
  const res = await fetch(`${TMDB_API_URL}/${type}/${tmdbId}/watch/providers?api_key=${TMDB_API_KEY}`);
  const data = await res.json();
  return data.results;
};

While both projects are related to media management, they serve different purposes. Tautulli is a comprehensive monitoring and analytics tool for Plex, while Watcharr appears to be a simpler media tracking application. The code snippets reflect their different focuses, with Tautulli handling stream details and Watcharr fetching watch provider information.