
FileFlows
FileFlows lets you design, schedule, and run automated file processing pipelines with ease — from a single server to a distributed cluster. Perfect for self-hosted environments, home labs, and cloud …
Installation - FileFlows
Windows Installation guide for installing FileFlows on Windows. Mac Installation guide for installing FileFlows on Apple MacOS. Linux Installation guide for installing FileFlows on a Linux system. …
FileFlows
Are you tired of manually managing your files? Meet FileFlows — the ultimate solution for automatic file processing!
Docker - FileFlows
This is the most reliable release of FileFlows, thoroughly tested and verified. While it may lag slightly behind the latest version in features, it is ideal for users seeking maximum stability.
Getting Started - FileFlows
To get started with FileFlows, begin by installing the application following the instructions provided in the Installation Instruction tailored for your preferred platform.
Windows - FileFlows
To bypass the virus warning, you have two options: Allow Windows to disregard the warning for the installer. Download the ZIP version (installer-free) and manually install FileFlows wherever you …
Guides - FileFlows
📄️ Environmental Overrides These environment variables can be used to configure FileFlows at runtime. 📄️ External Processing Node An external processing node, allows you to share or off loading the …
Version History - FileFlows
The version number format in FileFlows follows YY.MM.Release, where YY represents the last two digits of the year, MM represents the two digits for the month, and Release indicates the release number …
Basic - FileFlows
This allows you to attach one or more custom labels or tags to the file's database entry within FileFlows. Crucially, this element does not modify the file content, its path, or its system metadata in any way.
Nodes | FileFlows
FileFlows Server (the main application) has an in-built processing node and this is all that is needed for FileFlows to work. However, if you want to split the workload onto more machines or you don't want …