People say uv is good because it's fast, but honestly I don't care about that. We switched to using it for distribution of our Python-based tools because it makes it very convenient to install directly from a git repository and then to subsequently update from same repository. No need to build a package.
I tried it out successfully for the first time the other day (had 1 false start some months ago). This is after 10 ish years of system wide installs or venvs. I didn't find it fast at all. Every time I went to run the script it spent multiple seconds checking dependencies. Then one time it updated one, which luckily didn't break anything but I did get concerned. I'm sure there're some flags I didn't know to use but uvx was not great. On the other hand, it did seem to install the packages faster than pip.
I do avoid uv run for this reason but it’s useful for managing python projects. The speed claims actually have a lot to do with efficient caching, and I run several projects on the same Python (patch) version with similar packages on the same system
YMMV depending on specific needs but generally even on Windows on an average machine with an imperfect setup I've found it exceptionally fast, often well inside the sub-second range, to the point that I do sometimes worry if it really ran.
Sounds like it's worth another look at your settings to make sure they are right.
> deduplication at the file level: every file is now stored under its BLAKE3 hash
Blake3 is really a wonderfully fast cryptographic hash. I use it for my own "deduplication / integrity / berzerker" utility (which I made before LLMs were a thing).
If I've got a file named:
DSC98731-b3-7b39197a22.JPG
then:
- if that file doesn't checksum back to 7b39197a22 there's a file integrity problem (amazing and it already helped me troubleshoot issues)
- if any other file has the same Blake3 7b39197a22 hash, it's a duplicate
- if that 7b39197a22 checksum is in my database, "things can happen".
For example my DB can say "any file with a Blake3 hash of 7b39197a22 can always be deleted" or "any file with a Blake3 hash of 887463c09e, if it's got a generic filename like "dscXXXXX" can always be renamed to "20260722jackJohnAtTheBeach-b3-778463c09e.jpg" (or whatever suits you).
It's really great (and I know several here independently made similar schemes) and Blake3 is an amazing hash for those kind of use.
For those wondering like me: Blake3 generates hashes of at least 224 bits, not, as a literal reading of that comment indicates, 40 bits (which would be bad for file deduplication, giving you a 50% hash collision after around a million files)
It's annoying that most file formats don't checksum their own content.
Even formats which should know better, like SQLite, delegate that to the filesystem, most of which are also not checksumed and which delegate that further to the storage.
PostgreSQL, which prides itself by it's quality and reliability, only turned on checksums by default in the last version, 18.
This is one great benefit of using .zip files as file formats, you get this for free.
People say uv is good because it's fast, but honestly I don't care about that. We switched to using it for distribution of our Python-based tools because it makes it very convenient to install directly from a git repository and then to subsequently update from same repository. No need to build a package.
I tried it out successfully for the first time the other day (had 1 false start some months ago). This is after 10 ish years of system wide installs or venvs. I didn't find it fast at all. Every time I went to run the script it spent multiple seconds checking dependencies. Then one time it updated one, which luckily didn't break anything but I did get concerned. I'm sure there're some flags I didn't know to use but uvx was not great. On the other hand, it did seem to install the packages faster than pip.
I do avoid uv run for this reason but it’s useful for managing python projects. The speed claims actually have a lot to do with efficient caching, and I run several projects on the same Python (patch) version with similar packages on the same system
YMMV depending on specific needs but generally even on Windows on an average machine with an imperfect setup I've found it exceptionally fast, often well inside the sub-second range, to the point that I do sometimes worry if it really ran.
Sounds like it's worth another look at your settings to make sure they are right.
> deduplication at the file level: every file is now stored under its BLAKE3 hash
Blake3 is really a wonderfully fast cryptographic hash. I use it for my own "deduplication / integrity / berzerker" utility (which I made before LLMs were a thing).
If I've got a file named:
then: For example my DB can say "any file with a Blake3 hash of 7b39197a22 can always be deleted" or "any file with a Blake3 hash of 887463c09e, if it's got a generic filename like "dscXXXXX" can always be renamed to "20260722jackJohnAtTheBeach-b3-778463c09e.jpg" (or whatever suits you).It's really great (and I know several here independently made similar schemes) and Blake3 is an amazing hash for those kind of use.
For those wondering like me: Blake3 generates hashes of at least 224 bits, not, as a literal reading of that comment indicates, 40 bits (which would be bad for file deduplication, giving you a 50% hash collision after around a million files)
It's annoying that most file formats don't checksum their own content.
Even formats which should know better, like SQLite, delegate that to the filesystem, most of which are also not checksumed and which delegate that further to the storage.
PostgreSQL, which prides itself by it's quality and reliability, only turned on checksums by default in the last version, 18.
This is one great benefit of using .zip files as file formats, you get this for free.