As much as I adore paperless-ngx for its UX, I hate it for its tech-stack. Idling it already uses 300 MB RAM, when changing a few metadata fields on a document it easily spikes to 700 oder 800 MB. That’s insane for the work it actually does. Is there anything more lightweight? All I need is metadata management and a gallery with filters and previews.
I stopped using Paperless-NGX for this reason. It eats RAM and CPU insanely even after configuring it to stop doing OCR and no ML. I wish there is a Go alternative.
Exactly what I was wishing for. Or Rust. Don’t care. At least something that doesn’t eat resources for breakfast.
I actually contemplated starting such a thing. But before I dive into another project I likely don’t finish, I was hoping for something out-of-the-box.
I think all the RAM related issues were closed a while back and were supposedly fixed. I just don’t understand why when interfacing with the front-end, it uses so much it would get OOM kill itself with 1.5 GB allocated memory.
Every page, as well as loading in the initial dashboard from an idle state, spikes the RAM. Are there no clever lazyloading happening or something? Surely viewing and modifying database entries can’t be this memory intensive?
Maybe it’s just an unoptimized Python thing. I stopped self-hosting stuff written in Python, with the exception of Linkding (which takes a while to also submit a link) and Whoogle.
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I stopped using Paperless-NGX for this reason. It eats RAM and CPU insanely even after configuring it to stop doing OCR and no ML. I wish there is a Go alternative.
Exactly what I was wishing for. Or Rust. Don’t care. At least something that doesn’t eat resources for breakfast.
I actually contemplated starting such a thing. But before I dive into another project I likely don’t finish, I was hoping for something out-of-the-box.
Wasn’t this reported as a bug on their repo? Does anyone know why is it eating such an amount of ram? It might be that this can be fixed.
I think all the RAM related issues were closed a while back and were supposedly fixed. I just don’t understand why when interfacing with the front-end, it uses so much it would get OOM kill itself with 1.5 GB allocated memory.
Every page, as well as loading in the initial dashboard from an idle state, spikes the RAM. Are there no clever lazyloading happening or something? Surely viewing and modifying database entries can’t be this memory intensive?
Maybe it’s just an unoptimized Python thing. I stopped self-hosting stuff written in Python, with the exception of Linkding (which takes a while to also submit a link) and Whoogle.