snowfs
dvc
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snowfs | dvc | |
---|---|---|
22 | 108 | |
1,266 | 13,093 | |
0.8% | 1.3% | |
0.0 | 9.7 | |
6 months ago | 2 days ago | |
TypeScript | Python | |
GNU General Public License v3.0 only | Apache License 2.0 |
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.
snowfs
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Last image of my level design map using UE5 before file corruption :(
Have you heard of https://www.snowtrack.io? It’s like a GitHub fork based backup system for any folder. I haven’t tested it much but the dev is active on Reddit and was looking for people to test it not too long ago
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Blender version control
I'm looking for a program like git and GitHub for large files, (like Blender/Krita/etc... files). I already found some stuff like Snow Track, Alien Brain, but I want something free and with cloud storage to share my work.
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Open Source PDM?
I was actually testing Snowtrack recently, worked pretty good so far, especially since it is built around working with 3D files.
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What's your approach to version control? Do you use it? Would you want a simpler way to do it?
Generally speaking, Git and PlasticSCM are both great candidates, although they both require some technical background. We are working on an open-source version control system called SnowFS for graphic projects.
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Anyone found a cloud-based, asynchronous Digital Asset Management solution they're happy with?
I've used ShareIO in the past along w/ Google Drive or Dropbox. It works well, but has some limitations. There are also these version control apps. Currently in beta. https://www.snowtrack.io https://www.anchorpoint.app
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I am developing a version control software for graphic projects and got told it might be useful for music production as well
It's very interesting to see how many industries are behind version control and that it never got picked up in big style. Exciting times ahead! :-) Btw, you can see the end-result at www.snowtrack.io
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Looking for contributors who want to help making a npm package out of SnowFS - a version control software for graphic projects
We are looking for contributors who can help with their expertise to make an official npm package out of SnowFS. If you're interested to join, feel free to check out this new issue
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Looking for contributors who want to help making an npm package out of SnowFS - a version control software for graphic projects
I'm a maintainer of a project called SnowFS. SnowFS is a high-performance command-line application and node library for Windows, macOS and Linux with a focus on binary file versioning, written in TypeScript.
- SnowFS – a fast, scalable version control file storage for graphic files
- Snowtrack – a new version control software for graphic designers and 3D artists
dvc
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Why bad scientific code beats code following "best practices"
What you’re describing sounds like DVC (at a higher-ish—80%-solution level).
See pachyderm too.
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First 15 Open Source Advent projects
10. DVC by Iterative | Github | tutorial
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Exploring Open-Source Alternatives to Landing AI for Robust MLOps
Platforms such as MLflow monitor the development stages of machine learning models. In parallel, Data Version Control (DVC) brings version control system-like functions to the realm of data sets and models.
- ML Experiments Management with Git
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Git Version Controlled Datasets in S3
I was using DVC (https://dvc.org/) for some time to help solve this but it was getting hard to manage the storage connections and I would run into cache issues a lot, but this solves it using git-lfs itself.
- Ask HN: How do your ML teams version datasets and models?
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Exploring MLOps Tools and Frameworks: Enhancing Machine Learning Operations
DVC (Data Version Control):
- Evaluate and Track Your LLM Experiments: Introducing TruLens for LLMs
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[D] Is there a tool to keep track of my ML experiments?
I have been using DVC and MLflow since then DVC had only data tracking and MLflow only model tracking. I can say both are awesome now and maybe the only factor I would like to mention is that IMO, MLflow is a bit harder to learn while DVC is just a git practically.
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Where do I best store my test data when using github for code?
I use DVC, which works decently well and can be hooked into Git.
What are some alternatives?
snowfs-for-unity - SnowFS for Unity - Easy local version control for designers and artists within the Unity Editor. ❄️
MLflow - Open source platform for the machine learning lifecycle
aquameta - Web development platform built entirely in PostgreSQL
lakeFS - lakeFS - Data version control for your data lake | Git for data
ReaScripts - Community-maintained collection of scripts for REAPER
Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]
dotmesh - dotmesh (dm) is like git for your data volumes (databases, files etc) in Docker and Kubernetes
delta - An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
libuv - Cross-platform asynchronous I/O
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
repo.macintoshgarden.org-fileset
aim - Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.