Use the open source, cloud APIs, or public libraries listed below in your application development based on your technology preferences, such as primary language. The below list also provides a view of the components' rating on different dimensions such as community support availability, security vulnerability, and overall quality, helping you make an informed choice for implementation and maintenance of your application. Please review the components carefully, having a no license alert or proprietary license, and use them appropriately in your applications. Please check the component page for the exact license of the component. You can also get information on the component's features, installation steps, top code snippets, and top community discussions on the component details page. The links to package managers are listed for download, where packages are readily available. Otherwise, build from the respective repositories for use in your application. You can also use the source code from the repositories in your applications based on the respective license types.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Python 37439 Version:v2.0.0rc1 License: Permissive (BSD-3-Clause)
The fundamental package for scientific computing with Python.
Python 23036 Version:v1.24.2 License: Permissive (BSD-3-Clause)
Jupyter Interactive Notebook
Jupyter Notebook 9914 Version:v7.0.0a18 License: Permissive (BSD-3-Clause)
Multilingual Sentence & Image Embeddings with BERT
Python 9823 Version:v2.2.2 License: Permissive (Apache-2.0)
Fine-tune BERT to generate sentence embedding for cosine similarity
Python 61 Version:Current License: No License
A text analytics library with support for codemixed data
Python 32 Version:Current License: Permissive (MIT)