Factual package intelligence from PyPI

pdf2embeddings 0.2.8 package intelligence

NLP tool for scraping text from a corpus of PDF files, embedding the sentences in the text and finding semantically similar sentences to a given search query.

pip install pdf2embeddings

Current version
0.2.8
Python requirement
>=3.6
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
42.2 KiB
Release history
10 releases with files
Median release cadence
4 days

pdf2embeddings dependencies

PyPI declares 16 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. allennlp ==0.9.0
  2. boto3 ~=1.10.34
  3. gensim ==3.8.1
  4. nltk ==3.4.5
  5. numpy ==1.18.2
  6. pandas ==0.25.3
  7. ply ==3.11
  8. pyarrow ==0.16.0
  9. pytest ==5.4.1
  10. scikit-learn ==0.22.1
  11. scipy ==1.4.1
  12. sentence-transformers ==0.2.5.1
  13. slate3k ==0.5.3
  14. typing ==3.7.4.1
  15. tqdm ==4.45.0
  16. s3fs ~=0.4.2

Compatibility and release files

pdf2embeddings publishes 1 wheel and 1 source archive for version 0.2.8. Wheel platform tags: any.

Declared Python classifiers: 3.6, 3.7.

Release activity and sources

PyPI lists 10 releases with files. The first dated release is ; 10 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .