osxphotos VS codebase-visualizer-action

> Any method that I've found to clean them up (exporting the originals, deleting them from the library, and then re-importing the JPEGs only seems easiest) will lose all of the years of metadata that I've built up in the library.

The open source tool osxphotos (https://github.com/RhetTbull/osxphotos) can help with this. You can export the JPEG images while preserving metadata using the thrid-party exiftool utility:

`osxphotos export /path/to/export --has-raw --skip-raw --exiftool`

This exports all images that have a raw pair but skips the raw component then uses exiftool (https://exiftool.org/) to write the metadata (keywords, etc.) to the exported JPEG files. You can then re-import these into photos either by dragging them or by running `osxphotos import /path/to/export/*`

Both the export and import commands have many other options for controlling export directory, etc. `osxphotos help export` or `osxphotos docs` to open docs in browser. (Disclaimer: I'm the author of osxphotos)

See the issue tracker if you want to follow along. Hopefully this is an easy fix and I can push a patch today.

In response to a question on the osxphotos GitHub Discussions page, I wrote a quick script to do prune empty albums and folders from Photos that can be run with osxphotos (version 0.65.0 and later). You can run the script directly from GitHub without downloading it first via:

You could try opening the library with PowerPhotos, a commercial app that can manage multiple Photos libraries, to see if it can read it. You could also try my free open source command line tool, osxphotos. Install it then run this command in the Terminal: osxphotos info --library /path/to/the/library This should print out a list of information about the library: number of photos, number of albums, keywords in the library, etc. If that works, then osxphotos can read the library and can likely export the photos for you so you could re-import into a new library.

I'm the author of the osxphotos[0] tool mentioned in the article. For photos in an Apple Photos library, osxphotos gives you access to a rich set of metadata beyond what's in the actual EXIF/IPTC/XMP of the image. Apple performs object classification and other AI techniques on your images but generally doesn't expose this to the user. For example, photos are categorized as to object in them (dog, cat, breed of dog, etc.), rich reverse geolocation info (neighborhood, landmarks, etc.) and an interesting set of scores such as "overall aesthetic", "pleasant camera tilt", "harmonious colors", etc. These can be queried using osxphotos, either from the command line, or in your own python code. (Ref API docs[1])

For example, to find your "best" photos based on overall aesthetic score and add them to the album "Best Photos" you could run:

osxphotos query --query-eval "photo.score.overall > 0.8" --add-to-album "Best Photos"

To find good photos with trees in them you could try something like:

osxphotos query --query-eval "photo.score.overall > 0.5" --label Tree --add-to-album "Good Tree Photos"

There's quite a bit of other interesting data in Photos that you can explore with osxphotos. Run `osxphotos inspect` and it will show you all the metadata for whichever photo is currently selected in the Photos app.

[0] https://github.com/RhetTbull/osxphotos

osxphotos is my own tool for power users to interact with Photos from the command line: export, batch edit, sync metadata, import, etc.

osxphotos v0.60.8 adds initial alpha support for macOS Sonoma (macOS 14.0.0 / Photos 9.0). Everything seems to be working but if you are beta testing Sonoma and use osxphotos I'd welcome any feedback you have!

I'm the author of the free/open source tool osxphotos which provides several utilities fo working with Photos and exporting your photos. You can use the batch-edit feature to automatically add the album name as a keyword and I believe keywords are shared across users. (I don't use shared libraries so can't confirm this). I am working on a feature to then automatically re-create the albums from the keywords on the target library. For now the keywords is a partial work around.

If you want to edit batch metadata of photos that are in the Apple Photos app on a Mac, I'm the author of a free tool, osxphotos that includes a batch-edit command that will edit the metadata in the Photos library.

Nice post - treemaps are great!

My friend and I made a codebase visualisation tool (https://www.codeatlas.dev/gallery) that's based on Voronoi treemaps, maybe of interest as an illustration of the aesthetics with a non-rectangular layout!

We've opted for zooming through double-clicks as the main method of navigating the map, because in deep codebases, the individual cells quickly get too small to accurately target with the cursor as shown in the key-path label approach!

If anyone's interested, this is also available as a Github Action to generate the treemap during CI: https://github.com/codeatlasHQ/codebase-visualizer-action

If you find this type of codebase visualisation useful, you might want to checkout codeatlas.dev and its Github Action (https://github.com/codeatlasHQ/codebase-visualizer-action). It doesn't animate the repo over time like gource (yet), but instead aims to give a beautiful interactive visual snapshot of a repo at a particular point in time. It also lets you zoom in on specific aspects like recent commit activity, programming language and hopefully in the future test coverage.

E.g. see here for a visualisation of the pytorch codebase we did a while ago: https://codeatlas.dev/gallery/pytorch/pytorch

(disclaimer: I'm the author)

If you think this is useful, you might also like codeatlas.dev and its Github Action (https://github.com/codeatlasHQ/codebase-visualizer-action). It currently does not support per-contributor activity, but we put a lot of effort into making the diagrams beautiful to look at and the basic approach of using treemaps for visualisation seems very similar. In fact, could be cool to collaborate on this, DM me if interested!

https://codeatlas.dev

https://codeatlas.dev - codebase visualisation tool

Takes your git repo and generates a beautiful visual representation of the code. Sort of an alternative navigation tool (in addition to IDEs) for large codebases. Can also run it as part of CI with our Github Action (https://github.com/codeatlasHQ/codebase-visualizer-action).

We made this because grokking complex software projects is really difficult and we've found that a visual overview of what's in a codebase can be quite helpful to get started.

E.g. checkout https://codeatlas.dev/gallery/kubernetes/kubernetes for the generated visualisation of the Kubernetes Github repo!

Currently making -10$/year to pay for the domain :D We slowed down active development after our initial attempts at dissemination didn't really go anywhere (bragging about side projects on the internet, ugh), but I'm still really keen on getting some feedback on whether this is actually useful to anyone else!

Note: The site works somewhat on mobile, but is much better on desktop!

Also, funny there's a post like this again, just like https://news.ycombinator.com/item?id=34531989 yesterday.

https://codeatlas.dev - codebase visualisation tool

It takes your git repo and generates a beautiful visual representation of the actual code that's in it. Sort of an alternative navigation tool (in addition to IDEs) for large codebases. You can run codeatlas as part of your CI with our Github Action (https://github.com/codeatlasHQ/codebase-visualizer-action).

We made this because grokking complex software projects is really difficult and we've found that a visual overview of what's in a codebase can be quite helpful to get started.

E.g. checkout https://codeatlas.dev/gallery/kubernetes/kubernetes for the generated visualisation of the Kubernetes Github repo!

We slowed down active development after our initial attempts at dissemination didn't really go anywhere (bragging about side projects on the internet, ugh), but would still love feedback on whether this is possibly useful to anyone else!

Note: The site works somewhat on mobile, but is much better on desktop!

I've already mentioned this on the other thread (https://news.ycombinator.com/item?id=31569646), but my friend and I have been working on [https://www.codeatlas.dev](https://www.codeatlas.dev/) as a sideproject - it's a tool for creating pretty (2D!) visualisations of codebases, while providing additional insights via overlays (e.g. commit density, programming language or other results from static analysis like dead code/test coverage/etc.). For example here's the Kubernetes codebase visualised using codeatlas: [https://www.codeatlas.dev/repo/kubernetes/kubernetes](https:....

At the moment, codeatlas is just the static gallery, but we're only a few weekends away from releasing a Github action that deploys this diagram on github pages for your own repos - if you're interested, feel free to watch this repo: https://github.com/codeatlasHQ/codebase-visualizer-action

OP, how close is this to what you had in mind in your question?

My friend and I have been working on https://www.codeatlas.dev in our spare time, which is a tool that creates pretty (2D!) visualisations of codebases, while providing additional insights via overlays (e.g. commit density, programming language). For example here's the Kubernetes codebase visualised using codeatlas: https://www.codeatlas.dev/repo/kubernetes/kubernetes.

At the moment, codeatlas is only a static gallery, but we're currently about 1-2 weekends away from releasing a Github action that deploys this diagram on github pages for your own repos - if you're interested, feel free to watch this repo: https://github.com/codeatlasHQ/codebase-visualizer-action