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Tools/DVC vs Scale AI
DVC

DVC

mlops
vs
Scale AI

Scale AI

mlops

DVC vs Scale AI — Comparison

Overview
What each tool does and who it's for

DVC

Open-source version control system for Data Science and Machine Learning projects. Git-like experience to organize your data, models, and experiments.

We’re thrilled to welcome the DVC Community to the lakeFS family. Keep updated on blog posts with our RSS Feed! We use cookies to improve your experience and understand how our site is used. Learn more in our Privacy Policy We provide short articles on common data science scenarios where DVC can help. Our example scenarios are not written to be run end-to-end like tutorials. For more hands-on experience with DVC, see Get Started. Even with all the success we've seen in machine learning, especially with deep learning and its applications in business, data scientists still lack best practices for organizing their projects and collaborating effectively. This is a critical challenge: while ML algorithms and methods are no longer tribal knowledge, they are still difficult to develop, reuse, and manage. If you store and process data files or datasets to produce other data or machine learning models, and you want to Choose a page from the navigation sidebar to the left. ✅ Check out our GitHub repositories: DVC give us a ⭐ if you like the project! We use cookies to improve your experience and understand how our site is used. Learn more in our Privacy Policy

Scale AI

Scale delivers proven data, evaluations, and outcomes to AI labs, governments, and the Fortune 500.

Guides and quickstarts for integrating Scale products. Scale AI's mission is to accelerate the development of AI applications. To enable teams to make faster progress, we began with data - the foundation of all AI applications. Scale AI turns raw data into high-quality training data by combining machine learning powered pre-labeling and active tooling with varying levels and types of human review. If you are interested in learning more about our Enterprise engagements, get in touch with us.

Key Metrics
—
Avg Rating
—
0
Mentions (30d)
0
15,488
GitHub Stars
—
1,288
GitHub Forks
—
—
npm Downloads/wk
—
—
PyPI Downloads/mo
—
Community Sentiment
How developers feel about each tool based on mentions and reviews

DVC

0% positive100% neutral0% negative

Scale AI

0% positive100% neutral0% negative
Pricing

DVC

tiered

Scale AI

Features

Only in DVC (4)

track and save data and machine learning models the same way you capture code;understand how datasets and ML artifacts were built in the first place;adopt engineering tools and best practices in data science projects;Subscribe for updates. We won't spam you.
Developer Ecosystem
131
GitHub Repos
—
952
GitHub Followers
—
20
npm Packages
—
21
HuggingFace Models
—
—
SO Reputation
—
Product Screenshots

DVC

DVC screenshot 1

Scale AI

Scale AI screenshot 1
Company Intel
—
Industry
information technology & services
—
Employees
900
—
Funding
$15.9B
—
Stage
Merger / Acquisition
Supported Languages & Categories

DVC

DevOpsDeveloper Tools

Scale AI

View DVC Profile View Scale AI Profile