snorkel VS argilla

Compare snorkel vs argilla and see what are their differences.

snorkel

A system for quickly generating training data with weak supervision [Moved to: https://github.com/snorkel-team/snorkel] (by HazyResearch)

argilla

Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency. (by argilla-io)
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snorkel argilla
1 15
5,109 3,096
- 5.1%
6.2 9.8
about 2 years ago 6 days ago
Python Python
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

snorkel

Posts with mentions or reviews of snorkel. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-20.

argilla

Posts with mentions or reviews of argilla. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-05.

What are some alternatives?

When comparing snorkel and argilla you can also consider the following projects:

skweak - skweak: A software toolkit for weak supervision applied to NLP tasks

snorkel - A system for quickly generating training data with weak supervision

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format

catanatron - Settlers of Catan Bot Simulator and Strong AI Player

doccano - Open source annotation tool for machine learning practitioners.

compose - A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.

cleanlab - The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

data-centric-ai - Resources for Data Centric AI

trankit - Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing

dalle-flow - 🌊 A Human-in-the-Loop workflow for creating HD images from text