Amazon Photos just ate 240,364 of my photos

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • PhotoPrism

    AI-Powered Photos App for the Decentralized Web 🌈💎✨

  • Not sure if it has been mentioned already but photoprism added face recognition a few releases ago and it is working well for me: https://github.com/photoprism/photoprism

    The quality of this software is overall extremely good. It is a solo-developer as well so you might want to consider sponsoring them if you end up using it.

    I am not affiliated, just a happy user :)

  • icloud_photos_downloader

    A command-line tool to download photos from iCloud

  • I have recently switched to a M1 Mac Mini, and just have each family member sign in to that using Remote Desktop. It brings the added bonus of working as a content cache for anything iCloud.

    My only gripe is that it downloads the shared photo album (new in iOS 16) once for each account, and when your photo library is 1.8TB, that suddenly becomes a lot of wasted space. When it comes to backing it up the backup software deduplicates the data, but not for the initial storage.

    I really wish Apple would implement some kind of method for backing up photos stored in the cloud without the need for mirroring them.

    Before the M1 I was using iCloud photo downloader ( https://github.com/icloud-photos-downloader/icloud_photos_do... ) on a Raspberry Pi 4 which also worked well, but in the end I got tired of iCloud credentials expiring every ~90 days, requiring each family member to login again through a console.

    Considering the M1 idles at roughly 20% more than a RPi4 (M1 at 4.5W) it was an easy sell. I just got the cheapest model and added a large USB drive. Using a Mac also gives you the possibility of using something like Backblaze Personal with unlimited backup storage, if that’s your thing :-)

  • Scout Monitoring

    Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.

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  • photoview

    Photo gallery for self-hosted personal servers (by photoview)

  • FOSS photo software with face recognition (note that some of this is off-premise face recognition, sometimes requiring an API key you get on your own)

    https://damselfly.info

    https://github.com/LibrePhotos/librephotos

    https://photoview.github.io/

    I may have missed some: https://github.com/awesome-selfhosted/awesome-selfhosted#pho...

  • I have recently switched to a M1 Mac Mini, and just have each family member sign in to that using Remote Desktop. It brings the added bonus of working as a content cache for anything iCloud.

    My only gripe is that it downloads the shared photo album (new in iOS 16) once for each account, and when your photo library is 1.8TB, that suddenly becomes a lot of wasted space. When it comes to backing it up the backup software deduplicates the data, but not for the initial storage.

    I really wish Apple would implement some kind of method for backing up photos stored in the cloud without the need for mirroring them.

    Before the M1 I was using iCloud photo downloader ( https://github.com/icloud-photos-downloader/icloud_photos_do... ) on a Raspberry Pi 4 which also worked well, but in the end I got tired of iCloud credentials expiring every ~90 days, requiring each family member to login again through a console.

    Considering the M1 idles at roughly 20% more than a RPi4 (M1 at 4.5W) it was an easy sell. I just got the cheapest model and added a large USB drive. Using a Mac also gives you the possibility of using something like Backblaze Personal with unlimited backup storage, if that’s your thing :-)

  • arq_restore

    command-line utility for restoring from Arq backups

  • librephotos

    A self-hosted open source photo management service. This is the repository of the backend.

  • FOSS photo software with face recognition (note that some of this is off-premise face recognition, sometimes requiring an API key you get on your own)

    https://damselfly.info

    https://github.com/LibrePhotos/librephotos

    https://photoview.github.io/

    I may have missed some: https://github.com/awesome-selfhosted/awesome-selfhosted#pho...

  • awesome-selfhosted

    A list of Free Software network services and web applications which can be hosted on your own servers

  • FOSS photo software with face recognition (note that some of this is off-premise face recognition, sometimes requiring an API key you get on your own)

    https://damselfly.info

    https://github.com/LibrePhotos/librephotos

    https://photoview.github.io/

    I may have missed some: https://github.com/awesome-selfhosted/awesome-selfhosted#pho...

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • gphotos-sync

    Google Photos and Albums backup with Google Photos Library API

  • I pull mine from Google Photos, with a docker image running a tool: https://github.com/gilesknap/gphotos-sync

    Its not perfect, but as a backup, it works well.

  • docker-icloudpd

    An Alpine Linux container for the iCloud Photos Downloader command line utility

  • And packaged as a docker container to run daily, weekly, or monthly backups. https://github.com/boredazfcuk/docker-icloudpd

  • Cryptomator

    Multi-platform transparent client-side encryption of your files in the cloud

  • osxphotos

    Python app to work with pictures and associated metadata from Apple Photos on macOS. Also includes a package to provide programmatic access to the Photos library, pictures, and metadata.

  • I’ve been using this tool to backup Apple Photos library to an external drive: https://github.com/RhetTbull/osxphotos

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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