tsfresh automatically extracts relevant features from time series data.
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Snorkel helps generate training data programmatically through weak supervision.
About Snorkel
Snorkel is an open-source system for generating training data with weak supervision. It lets users programmatically label, build, and manage training data, with tutorials that show different tasks, domains, labeling techniques, and integrations as templates.
It requires Python 3.11 or later. The project team states it is now focusing its efforts on Snorkel Flow, a platform based on the ideas behind Snorkel.
Key features
- Programmatically label training data with weak supervision
- Build and manage training data programmatically
- Reuse tutorials as templates for own applications
Best for: Python users who need to programmatically create training data for machine learning.
Good for
- Open-source repository
- Provides tutorials covering tasks, domains, and labeling techniques
Watch out for
- Project team states focus has moved to Snorkel Flow
- Requires Python 3.11 or later, excluding older versions
Snorkel at a glance
- Category
- AI & Machine Learning › AI Data & Analytics
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Snorkel FAQ
What Python version does Snorkel require?
Snorkel requires Python 3.11 or later.
How should new users learn Snorkel?
Walk through the Get Started page on the Snorkel website, followed by the full-length tutorials in the Snorkel tutorials repository.
Is the Snorkel project still the team's main focus?
No. The team states it is now focusing its efforts on Snorkel Flow.
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