sturdy
dvc
sturdy | dvc | |
---|---|---|
11 | 109 | |
536 | 13,139 | |
0.2% | 0.6% | |
0.0 | 9.6 | |
11 months ago | 3 days ago | |
Go | Python | |
GNU General Public License v3.0 or later | 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.
sturdy
- Sturdy
- What makes git so hard to use?
- Sturdy is an open-source, real-time, version control platform for startups
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Can We Please Move Past Git?
I think you and the guys over at Sturdy share similar frustrations https://getsturdy.com/
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Eden
Have you checked out Sturdy? It's a git-compatible VCS, with a much simplified UI and workflow.
https://getsturdy.com/
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Simple & efficient code collaboration
Sturdy is a low overhead code collaboration platform for fast moving teams. It is, of course, open-source. Here are the key ideas —
- Sturdy — Simple & efficient code collaboration (open-source)
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Building live (real-time) code collaboration platform with Vue 3 & GraphQL (open-source)
I have added some short GIFs on the site to showcase exactly how this works — http://getsturdy.com, with more details in the docs page.
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Building a real-time code collaboration platform, in Go (open-source)
You can check the code over at https://github.com/sturdy-dev/sturdy (While there, giving it a star ⭐️ would make my day!)
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?
jj - A Git-compatible VCS that is both simple and powerful
MLflow - Open source platform for the machine learning lifecycle
VFSForGit - Virtual File System for Git: Enable Git at Enterprise Scale
lakeFS - lakeFS - Data version control for your data lake | Git for data
goxygen - Generate a modern Web project with Go and Angular, React, or Vue in seconds 🎲
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]
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
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. ☁️
scalar - Scalar: A set of tools and extensions for Git to allow very large monorepos to run on Git without a virtualization layer
aim - Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.