oxen-release
git-cola
oxen-release | git-cola | |
---|---|---|
22 | 15 | |
831 | 2,191 | |
9.9% | 1.6% | |
9.0 | 9.6 | |
29 days ago | 12 days ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
oxen-release
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Ask HN: Can we do better than Git for version control?
We've been working on a data version control system called "oxen" optimized for large unstructured datasets that we are seeing more and more with the advent of many of the generative AI techniques.
Many of these datasets have many many images, videos, audio files, text as well as structured tabular datasets that git or git-lfs just falls flat on.
Would love anyone to kick the tires on it and let us know what you think:
https://github.com/Oxen-AI/oxen-release
The commands are mirrored after git so it is easy to learn, but optimized under the hood for larger datasets.
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Snakemake – A framework for reproducible data analysis
Super cool! Would love to see an integration with Oxen and their data version control https://github.com/Oxen-AI/oxen-release
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Ask HN: Data Management for AI Training
We have been working on a data version control tool called Oxen that is tackling many of your needs. Feel free to check it out here:
https://github.com/Oxen-AI/oxen-release#-oxen
Going down your list of requirements, Oxen has:
* Data versioning, similar paradigm to git, but built from the ground up for large ML datasets
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A tale of Phobos – how we almost cracked a ransomware using CUDA
We've been working on some open source tooling called "oxen" that was built for large datasets of images, video, audio, text etc. We wanted to solve the exact problem you're flagging here with git.
Feel free to check it out here https://github.com/Oxen-AI/oxen-release#-oxen would love any feedback!
- Oxen.ai: Fast Unstructured Data Version Control
- A versioning system for ML data sets
- Oxen - Version control for your machine learning datasets
git-cola
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Ask HN: Can we do better than Git for version control?
> Visual Studio does a decent job of abstracting the GIT nuances, but I personally use GIT Extensions, which looks and feels much better on Windows than the other cross platform UIs.
IDEs and text editors sometimes have nice Git integrations in the UI, but I wanted standalone software that I can use for anything from various programming projects, to something like gamedev projects (with Git LFS) or arbitrary documents.
In the end, I just forked over some money for GitKraken, it's pretty good, especially with multiple accounts on the same platforms, when you want to switch between them easily: https://www.gitkraken.com/
There's also Sourcetree which I used before then, kind of sluggish but feature complete: https://www.sourcetreeapp.com/
For something more lightweight, I also enjoyed Git Cola on various OSes: https://git-cola.github.io/ Even Git documentation has a page on the software out there, a good deal of which is free and has good platform support: https://git-scm.com/downloads/guis
Quite frankly, I spend like 90% of the time using a GUI interface nowadays, when I want to easily merge things, or include very specific code blocks across multiple files in a commit, or handle most of the other common operations. Of course, sometimes there's a need to drop down to the CLI, but you're right that some GUI software feels like it actually improves the usability here.
- I don't know why so many devs avoid a GUI for Git
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Why Git Is Hard
I think Git can be a pretty pleasant experience for most folks, as long as you use the basic features and maybe even consider a GUI, anything from Git Cola (free: https://git-cola.github.io/), to something like GitKraken (paid for all features: https://www.gitkraken.com/).
Curiously, the latter also let me setup different accounts that I can switch between with a simple dropdown, which was otherwise annoying when you have Gitea, GitHub, GitLab and others to manage, way easier than https://docs.github.com/en/account-and-profile/setting-up-an...
Either way, suddenly you see the graph of your repo and most of the common actions are a click away, you can just let your brain idle and think about other things you're doing instead, in addition to that working really well with staging chunks of your code, or individual files, cherrypicking and so on.
Then again, personally I prefer squashing in merge/pull requests instead of rebasing, or even just doing regular merge commits and leaving the history as is (which doesn't really scale, but I haven't gotten to the point where that matters that much), so how I use Git won't work for everyone.
- Top 10 Git GUI Clients for Linux in 2023
- Exploring the Top 10 Git GUI Clients for Linux in 2023
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Git-SIM: Visually simulate Git operations in your own repos with a single termi
> We now have a large selection of tools that allow you to visualize what's going on (I use git-kraken), as well as google for help on doing something that isn't in muscle memory.
Git Kraken is excellent, though Git has a page on various GUIs, many of which are free with no restrictions: https://git-scm.com/downloads/guis
Personally, on Windows I like SourceTree: https://www.sourcetreeapp.com/
Some that have worked with SVN back in the day like TortoiseGit: https://tortoisegit.org/
On *nix Git Cola seems to do the job for me: https://git-cola.github.io/
Then again, the most complex workflow I've worked with was Git Flow and I didn't need anything more advanced than that. Come to think of it, I don't really do rebases often either and mostly just take advantage of squashing commits through GitLab/Gitea and such, when needed.
But hey, that's also valid, using Git in a way where you get version control but mostly keep the technical details out of your way (though Git LFS and certain cases with particular line endings being needed does make you drop down occasionally).
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Report: More Developers Use Linux Than a Mac
Try git cola. It's not the slickest but it scratches my pointy/clicky desires for git pretty well.
- How can I find someone to explain
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Idiot Proof Git
If you can tolerate a GUI, Git Cola might be a solution. I'm using it exclusively for some 5 years now – it's lightweight enough, but still makes you think about what you're about to commit. You can add things to .gitignore directly from there, too.
https://git-cola.github.io/
Default layout is pretty barebones, here's what I'm doing instead: https://u.ale.sh/my-git-cola-screenshot.png
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I think the real reason why people think using the terminal is required on Linux is a direct result of the Linux terminal being so much better than the Windows terminal
i still don't know how to split one commit into multiples (without going insane (if it's even possible)) without a gui like https://github.com/git-cola/git-cola, and that should be a simple operation (especially with git's "split every change into individual commits make it easier to cherry pick" conventions)
What are some alternatives?
VFSForGit - Virtual File System for Git: Enable Git at Enterprise Scale
VCS - This is my first simple version control system
gpt-2-output-dataset - Dataset of GPT-2 outputs for research in detection, biases, and more
Guitar - Git GUI Client
dvc - 🦉 ML Experiments and Data Management with Git
GitUp - The Git interface you've been missing all your life has finally arrived.
dud - A lightweight CLI tool for versioning data alongside source code and building data pipelines.
VirtScreen - Make your iPad/tablet/computer into a secondary monitor on Linux.
mandala - A powerful and easy to use Python framework for experiment tracking and incremental computing
django-markdownx - Comprehensive Markdown plugin built for Django
dolt - Dolt – Git for Data
webdiff - Two-column web-based git difftool