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Tools/DVC vs Snorkel AI
DVC

DVC

mlops
vs
Snorkel AI

Snorkel AI

mlops

DVC vs Snorkel 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

Snorkel AI

Snorkel AI delivers the highest quality specialized datasets for frontier LLMs and enterprise models.

I notice that the reviews section is empty and the social mentions only show repeated YouTube video titles without any actual review content or user feedback. Without access to the actual content of user reviews, social media posts, or detailed mentions, I cannot provide a meaningful summary of what users think about Snorkel AI. To give you an accurate analysis of user sentiment, I would need actual review text, ratings, comments, or substantive social media discussions about the platform.

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

Snorkel AI

0% positive100% neutral0% negative
Pricing

DVC

tiered

Snorkel AI

tiered

Pricing found: $3

Use Cases
When to use each tool

Snorkel AI (2)

Applied AI solutionsSolutions undergo rigorous testing based on your business criteria to ensure positive ROI, faster.
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.

Only in Snorkel AI (10)

Accelerate the development of frontier AI models with expert-curated, enterprise-grade data.Learn how Snorkel’s Data-as-a-Service helps teams label, refine, and evaluate high-quality, domain-specific datasets for your projects.Explore how Snorkel can collaborate with your product and development teams to build and deploy custom AI and agentic systems.Solutions undergo rigorous testing based on your business criteria to ensure positive ROI, faster.Expert data servicesApplied AI solutionsPlanningExecutionRefinementEvaluate
Developer Ecosystem
131
GitHub Repos
—
952
GitHub Followers
—
20
npm Packages
—
21
HuggingFace Models
—
—
SO Reputation
—
Product Screenshots

DVC

DVC screenshot 1

Snorkel AI

Snorkel AI screenshot 1Snorkel AI screenshot 2Snorkel AI screenshot 3
Company Intel
—
Industry
information technology & services
—
Employees
980
—
Funding
$338.0M
—
Stage
Series D
Supported Languages & Categories

DVC

DevOpsDeveloper Tools

Snorkel AI

AI/MLDevOpsSecurityData
View DVC Profile View Snorkel AI Profile