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.

Crawler for fetching information of US Patents and PDF bulk download

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.

Evaluation and benchmarking of PatentsView disambiguation algorithms

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

Reaction data exploration: a map of reagents with regions of similar reagent purpose.

patent claim proofreader and analyzer for 112(b) issues, restrictions, and other issues

USPTO patents dataset generator

A Python 3 wrapper for the Patentsview.org API. This script will retrieve the patents for the companies specified (in the form on an excel spreadsheet).

Desktop Patent Searcher

This project contains the data and code used in the paper: Denter, Nils M.; Aaldering, Lukas Jan; Caferoglu, Huseyin (2022): Forecasting future bigrams and promising patents: Introducing text-based link prediction. In Foresight ahead-of-print (ahead-of-print). DOI: doi.org/10.1108/fs-03-2021-0078.

Checks the USPTO for the existence of the daily XML file for trademarks

USPTO Goods Slicer is Python library that can remove bracketed goods and services of a USPTO trademark application.

This project contains the data and code used in the paper: Denter, N. M., & Lai, M. Y. (2022). Measuring generative appropriability: Experiments with US semiconductor patents. World Patent Information. doi:10.1016/j.wpi.2022.102130. https://www.sciencedirect.com/science/article/pii/S0172219022000369?dgcid=author