textaugment and augmenty
These are competitors offering overlapping text augmentation capabilities, though Augmenty's spaCy-based architecture provides NLP pipeline integration while TextAugment offers broader language-agnostic augmentation techniques, making the choice dependent on whether you need spaCy ecosystem compatibility.
About textaugment
dsfsi/textaugment
TextAugment: Text Augmentation Library
When you have a limited amount of text data for training machine learning models, this tool helps you automatically generate more diverse sentences without manual effort. You input your existing text data, and it provides new, synthetically varied sentences. This is useful for data scientists, machine learning engineers, and researchers working on natural language processing tasks who need to improve their model's performance by expanding their dataset.
About augmenty
KennethEnevoldsen/augmenty
Augmenty is an augmentation library based on spaCy for augmenting texts.
When training text classification or entity recognition models, you often need more diverse examples to improve accuracy. This tool takes your existing text data with its assigned labels and generates new, subtly varied versions. It helps machine learning engineers and data scientists expand their text datasets for more robust model training.
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