PatZilla is a modular patent information research platform and data integration toolkit with a modern user interface and access to multiple data sources.

A collection of ORM-style clients to public patent data

A client library for accessing the USPTO Open Data APIs, written in Python.

Search for and retrieve US Patent and Trademark Office Patent Data

Downloads USPTO patents and finds molecules related to keyword queries

A python tool for reading, parsing and finding patent using the United States Patent and Trademark (USPTO) Bulk Data Storage System.

An R client to the PatentsView API

Crawler for fetching information of US Patents and PDF bulk download

A shared repository for data cleaning scripts used for innovation data.

Patent Classification with Machine Learning

Python package to access USPTO bulk data in rectangular format

Graph that downloads patent citation data from USPTO's PatentsView API on-demand and stores it locally in an SQL database (and in memory) for fast access later.

Say it. Learn it. Live it.

Visualizing the space of chemical reactions with the parametric (learnable) t-SNE.

Evaluation and benchmarking of PatentsView disambiguation algorithms

R package to access USPTO bulk data in tidy, rectangular format

Patent Sentiment Analysis is a process of highlighting patent paragraphs (advantages, problems and neutral text) to ease examination process and also to assist patent attorneys in handling litigation and infringement cases during patent analysis.

Python module to obtain trademark status information from USPTO's TSDR system

Obtain trademark status information from USPTO's TSDR system (common files and documentation)

Example applications of the patent_client library