{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/4"},{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/2"}],"enrichment":{"capability":"fasttext-wheel provides Python bindings for fastText, enabling efficient learning of word representations and text classification through unsupervised and supervised training models.","skillfed_tags":["nlp","word-embeddings","text-classification"],"use_cases":["Train word embeddings on a corpus to obtain dense vector representations for downstream NLP tasks.","Build a text classifier by training a supervised model on labeled text data and evaluating precision/recall on test sets.","Compress trained classification models using quantization to reduce file size for deployment.","Retrieve word vectors and vocabulary from a trained model for similarity analysis or feature extraction.","Predict labels for new text using a pre-trained supervised fastText model."],"what_it_does":"fasttext-wheel is a Python wrapper around Facebook's fastText C++ library for learning word representations and classifying text. It supports two main workflows: unsupervised training (skipgram and CBOW models for word embeddings) and supervised training for text classification. The package depends on pybind11 for C++ bindings, setuptools for installation, and NumPy for numerical operations.\n\nThe library trains models on UTF-8 encoded text files and returns model objects that expose learned word vectors, vocabulary, and labels. It includes methods to save/load models, quantize supervised models for compression, and make predictions on new text. However, the package has been abandoned since September 2020 with no ongoing maintenance, meaning it will not receive bug fixes, security updates, or compatibility patches for newer Python or dependency versions.","worth_installing":"Yes, but with strong caveats. fasttext-wheel is stable and widely used (top 5000 PyPI packages, 2.3M monthly downloads), with no known vulnerabilities and permissive MIT licensing. However, the package is abandoned\u2014last released in 2020 and its repository archived in 2024. Install only if you need fastText specifically and can accept no future maintenance, security patches, or compatibility fixes. For active projects, consider whether a maintained fork or alternative NLP library better suits your risk tolerance."},"id":"fasttext-wheel","links":{"html":"https://skillfed.io/packages/fasttext-wheel","md":"https://skillfed.io/packages/fasttext-wheel.md","pypi":"https://pypi.org/project/fasttext-wheel/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2020-09-03","license_spdx":null,"license_treatment":"permissive","name":"fasttext-wheel","python_support":"unspecified","summary":"fasttext Python bindings"},"popularity":{"monthly_downloads":2359916,"position":3104,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.9.2"}