scalar
dvc
scalar | dvc | |
---|---|---|
19 | 110 | |
1,341 | 13,189 | |
3.5% | 1.2% | |
0.0 | 9.6 | |
over 1 year ago | 1 day ago | |
C# | Python | |
MIT License | 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.
scalar
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Debian Git Monorepo
It's not only Windows that uses Git at Microsoft, but Sharepoint and Office (which includes the on-prem version of SharePoint). In terms of repo size Windows and Office are similar. I was part of the team that migrated Sharepoint from a Perforce clone to Git and helped build the tooling to allow Office to move as well. VFS for Git [1] and Scalar [2] are really good pieces of software.
[1] - https://github.com/microsoft/VFSForGit
[2] - https://github.com/microsoft/scalar
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Serving a Website from a Git Repo Without Cloning It
Congratulations! That means you basically figured out how the clone procedure works and found a way to do so just in a partial way (also in an unsafe way). But it is a cool idea, nonetheless.
Also check out the Scalar [1] project and its predecessor, GVFS [2], both from Microsoft to manage their monorepo via a VFS layer.
[1]: https://github.com/microsoft/scalar
[2]: https://github.com/microsoft/VFSForGit
- Ask HN: Can we do better than Git for version control?
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Software for managing config files
You mean like VFSforGit? Or the successor for that called Scalar? This has been a solved problem. Microsoft moved their entire Windows codebase to git. There have been a ton of huge improvements to performance as a result of that. And the above two plugins are easily better ways to deal with what you're referring to without resulting to dead tech.
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WebKit Migrates from Subversion to GitHub
I was just looking at Microsoft's git VFS (https://github.com/microsoft/VFSForGit), which is deprecated and now points to Scalar (https://github.com/microsoft/scalar), which is also deprecated? What's Microsoft's story with git now? Is there still a virtual file system involved?
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An ex-Googler's guide to dev tools
Microsoft has/had a mono-repo based on the Git Virtual Filesystem, but future efforts have apparently moved towards the use of Scalar: https://github.com/microsoft/scalar
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Improve Git monorepo performance with a file system monitor
This has been superceded by Scalar (https://github.com/microsoft/scalar) and again merged into Microsoft's fork of git (https://github.com/microsoft/git)
It supports neat stuff like partial clone which seems like a pretty big deal.
- Haberdasher: Git-like version control for huge repos
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We Put Half a Million Files in One Git Repository, Here’s What We Learned
As mentioned in the blog "we are moving towards providing a known version of git", probably Microsoft Git which includes the scalar command but also upstreams many of the optimizations to git core https://github.com/microsoft/scalar#why-did-scalar-move
disclaimer: canva staff working on source control
- Only Microsoft can give open source the gift of NTFS
dvc
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My Favorite DevTools to Build AI/ML Applications!
Collaboration and version control are crucial in AI/ML development projects due to the iterative nature of model development and the need for reproducibility. GitHub is the leading platform for source code management, allowing teams to collaborate on code, track issues, and manage project milestones. DVC (Data Version Control) complements Git by handling large data files, data sets, and machine learning models that Git can't manage effectively, enabling version control for the data and model files used in AI projects.
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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).
https://dvc.org/
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.
What are some alternatives?
Git - Git Source Code Mirror - This is a publish-only repository but pull requests can be turned into patches to the mailing list via GitGitGadget (https://gitgitgadget.github.io/). Please follow Documentation/SubmittingPatches procedure for any of your improvements.
MLflow - Open source platform for the machine learning lifecycle
git-lfs - Git extension for versioning large files
lakeFS - lakeFS - Data version control for your data lake | Git for data
VFSForGit - Virtual File System for Git: Enable Git at Enterprise Scale
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]
devops-tools - A mixed collection of tools supporting software development, CICD and deployment, etc.
delta - An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
EdenSCM - A Scalable, User-Friendly Source Control System. [Moved to: https://github.com/facebook/sapling]
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
git - GitGitGadget's Git fork. Open Pull Requests here to submit them to the Git mailing list
aim - Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.