Choosing between Prowlarr vs Jackett comes down to how much manual setup you want to deal with. What is the difference between Prowlarr and Jackett? The main difference between Prowlarr and Jackett is integration. While both tools manage your Usenet indexers, Prowlarr was built specifically for the “Arr” stack. Prowlarr automatically syncs your indexers to Sonarr and Radarr, whereas Jackett requires you to copy and paste API keys manually.
If you are building the ultimate automated home server, you already know about the magic of Sonarr and Radarr.
These tools automatically search for files, however, they cannot search the internet on their own. You have to tell them where to search by adding your best Usenet indexers (like NZBgeek or DrunkenSlug) into their settings.
If you only use one indexer, doing this manually is easy. But what if you use five indexers? What if you use Sonarr, Radarr, Lidarr, and Readarr? Managing dozens of API keys across multiple apps becomes a nightmare.
This is where an “Indexer Manager” comes in. In the Prowlarr vs Jackett debate, we compare the two most popular managers to see which one you should install on your home NAS.
| Feature | Prowlarr | Jackett |
|---|---|---|
| Indexer Sync | Automatic — add an indexer once and it syncs to every connected arr app | Manual — copy/paste Torznab URL and API key into each app individually |
| Web Interface | Modern UI consistent with the rest of the arr stack | Functional but older in design; gets the job done |
| Indexer Support | Actively developed, gap with Jackett has narrowed considerably | Available longer, historically supported a wider range of indexers |
| Query Caching | No native RSS caching; can lead to repeated requests | Supports query caching, reducing redundant requests in large setups |
| Installation | Docker image or native Linux packages | Docker image or native Linux packages |
| Best For | Beginners and standard Sonarr/Radarr/Lidarr/Readarr setups | Older apps without native Prowlarr support, or highly obscure indexers |
What Each Tool Does in a Home Lab
Both Prowlarr and Jackett serve as the search layer in a home lab automation setup. Prowlarr pushes indexer configurations outward to connected applications automatically; Jackett waits to be queried by each application individually.
The practical difference becomes clear when you examine how each fits into a larger workflow.
How an Indexer Manager Fits Into the Arr Stack
The arr stack refers to a family of archival data organizers that share a naming convention and a common design philosophy. Applications like Sonarr, Radarr, Lidarr, and Readarr handle media automation: monitoring, grabbing, sorting, and organizing digital collections. They need to know where to search, and that is where an indexer manager enters the picture.
Prowlarr was built by the same development team behind the arr applications. It is designed specifically to integrate with arr stack tools. Jackett predates Prowlarr and was not built with arr-native integration in mind, though it works with arr applications through a compatibility layer.
Prowlarr vs Jackett: Core Differences That Matter Most
The practical gap between these two tools is most visible in three areas: how indexers are synced across applications, how the interface handles day-to-day management, and how broadly each tool supports different indexer sources over time.
Automatic Sync vs Manual Setup
This is the most consequential difference between the two tools.
With Prowlarr, you add an indexer once. Prowlarr then syncs that indexer configuration automatically to every connected arr application. If you add Sonarr, Radarr, and Lidarr to Prowlarr, all three receive the same indexer list without any repeated data entry.
With Jackett, each arr application needs its own connection configured manually. You copy the Torznab URL and API key from Jackett and paste them into each application individually. If you add a new indexer later, you repeat that process for every application.
For setups with multiple arr applications and several indexers, the manual approach in Jackett creates significant configuration overhead. Prowlarr’s auto-sync removes that burden.
User Experience, Web Interface, and Day-to-Day Management
Prowlarr uses a modern UI that feels consistent with the rest of the arr stack. Users already familiar with Sonarr or Radarr will recognize the layout immediately. Adding indexers, checking status, and reviewing search history all follow a familiar pattern.
Jackett’s web interface is functional but older in design. It is straightforward for basic use, but it does not share the visual language of the arr applications. Searches work, status checks are available, and the interface gets the job done without unnecessary complexity.
Indexer Support, Compatibility, and Long-Term Flexibility
Jackett has been available longer and historically supported a wider range of indexers. That gap has narrowed considerably. Most indexers available in Jackett are now also supported in Prowlarr, and Prowlarr receives active development with regular additions.
One area where they differ: Jackett has the ability to cache queries, which can reduce repeated requests when multiple arr applications pull the same RSS feed. Prowlarr currently parses but does not cache in the same way. In large setups with many arr instances, that distinction can matter for rate limiting.
Integration With Sonarr, Radarr, and Other Arr Applications
Integration behavior is where Prowlarr’s design advantage becomes most concrete. Both tools connect to arr applications, but the method and the maintenance burden differ significantly.
Prowlarr Integration With Sonarr, Radarr, Lidarr, and Readarr
Prowlarr connects to Sonarr, Radarr, Lidarr, and Readarr through a direct application link configured in Prowlarr’s settings. Once that link is established, Prowlarr pushes all configured indexers to each connected application automatically. API keys are generated and managed within Prowlarr and distributed through the sync process.
This means that adding a new indexer in Prowlarr immediately makes it available in every linked arr application. There is no need to open Sonarr, Radarr, or Lidarr separately to add or update anything.
(Note: Once Prowlarr finds a file, you still need a Usenet newsreader like SABnzbd to actually download it from your Usenet provider!)
Setup, Configuration, and Ongoing Maintenance
Installation is straightforward for both tools, especially when using Docker. The setup experience diverges after the initial install, once you start adding indexers and connecting to other applications.
Installing With Docker or Native Packages
Both Prowlarr and Jackett are available as Docker images, making them easy to deploy in a home lab alongside other arr stack services. Docker Compose setups are well-documented in the GitHub repositories for each project.
Native packages are also available for Linux systems without Docker. For most home lab users running custom servers like Unraid or TrueNAS, Docker is the simplest path. It keeps dependencies isolated and makes updates straightforward.
Which Option Fits Different User Types
Choosing between these two tools depends mostly on how large your setup is and how much ongoing maintenance you want to handle.
Choose Prowlarr If: For beginners setting up a home lab with Sonarr, Radarr, Lidarr, or Readarr, Prowlarr is the more practical starting point. The automatic sync behavior means less repeated configuration, and the modern UI makes it easier to understand what is connected and why.
Choose Jackett If: Jackett remains a reasonable choice in a few specific situations, such as connecting to an older application that does not support Prowlarr’s native sync, or if you need to support a highly obscure indexer that Prowlarr has not yet added.
Privacy-conscious users should note that both tools can be run behind a VPN. Routing Prowlarr through a VPN at the container level is a common configuration for users who want query anonymity when reaching out to indexers.