1 Open Source Alternatives to Snorkel AI
A list of 1 carefully selected open-source alternatives to Snorkel AI.

The open-source alternatives are ranked based on our custom ranking system and score. This system takes into account various factors to determine the best alternatives.
If you’re looking for alternative features or workflows, here is a prepared detailed list of Snorkel AI open-source alternatives — each with its own distinctive strengths and key features.
Refinery is an open-source tool built for data scientists looking to scale, assess, and maintain natural language training data with confidence. It transforms the management of training data into a software artifact process, ensuring reliable and reproducible AI workflows.

Key Features
- Open-source and fully customizable
- Data-centric RAG pipeline for improved accuracy
- Treats training data as a versioned software artifact
- Seamless API integration and ease-of-use
- Supports both rapid prototyping and enterprise scalability
Refinery leverages a data-centric RAG approach to model and integrate your internal data, making any large language model more reliable and accurate. Designed for both prototyping and scalable enterprise solutions, it streamlines the management of training data while offering seamless API integration. Trusted by developers across industries, Refinery enables teams to deploy controlled, high-quality AI applications with ease.
Price comparison of Snorkel AI open-source alternatives
Tool | Tier 1 | Details |
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![]() | - Starter Package | Learn more |
* Pricing shown is based on publicly available information and may not reflect current rates. Visit each tool's website for detailed pricing information and additional tiers.
About Snorkel AI
Snorkel AI
The first data-centric artificial intelligence (AI) platform powered by state-of-the-art techniques in programmatic data labeling and weak supervision. Turning data into accurate and adaptive AI applications--fast.