PatZilla is a modular patent information research platform and data integration toolkit with a modern user interface and access to multiple data sources.
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Updated
Sep 9, 2025 - Python
PatZilla is a modular patent information research platform and data integration toolkit with a modern user interface and access to multiple data sources.
Automatically download all PDF files of searching results & their patent families found on Google Patents.
A python tool for reading, parsing and finding patent using the United States Patent and Trademark (USPTO) Bulk Data Storage System.
RAG app for patent similarity search with chatgpt llm over google patents
自动化专利侵权竞品分析系统 —— 输入专利公开号,1 小时产出律师可复核的 claim chart 报告(逐特征对比 + 证据URL + 下一步建议);同时打包成 skill,可被任意 agent 调用。
Official Implementation of PatentLMM (our AAAI 2025 Paper)
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.
Patent Crawler is a python program to crawl patent information from Google Patent with given keywords.
Pitch Track Hack - Pythonic Implementation of the Pitch track used in autotune patent
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).
Contains work done on the fintech patents classification project. The goal of this project is to build a model that can detect if a patent is fintech or not based on it's text content. If a patent is fintech then we want to know which kind of fintech patent it is form our defined fintech categories.
This project contains the data and code used in the paper: Denter, Nils M. (2021): Blockchain breeding grounds: Asia's advance over the USA and Europe. In World Patent Information 67. DOI: 10.1016/j.wpi.2021.102082.
A harvester and parser to retrieve U.S. patents (and their CPC labels) in a machine-readable format.
This project contains the data, code and results used in the paper: Denter, N., Seeger, F., & Moehrle, M. G. (2022). How can Blockchain technology support patent management? A systematic literature review. International Journal of Information Management, Article 102506. Advance online publication. https://doi.org/10.1016/j.ijinfomgt.2022.102506.
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.
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