An analysis tool for Python that blurs the line between testing and type systems.
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Updated
Nov 16, 2025 - Python
An analysis tool for Python that blurs the line between testing and type systems.
🤝 Design by contract for Python. Write bug-free code. Add a few decorators, get static analysis and tests for free.
Secure Electronic Voting using Azure Blockchain
A python 3 library providing functions and decorators to automatically generate class code, such as constructor body or properties getters/setters along with optional support of validation contracts on the generated setters. Its objective is to reduce the amount of copy/paste code in your classes - and hence to help reducing human mistakes :).
Symphony Fintech XTS API Instrument / Contract Masters CSV's.
A tiny web3/python alternative to interact with any ethereum compatible blockchain
One-Click Legal-Swarm-Template
Инструмент для планирования перевозок, построения планов изготовления модулей, кораблей, отслеживания процесса выполнения контрактов.
Master Thesis
Ethereum Mixer is a decentralized tool designed to enhance privacy in Ethereum transactions. It allows users to obscure their identities by blending their funds with those of others, effectively preventing unauthorized tracking of their activities on the blockchain.
Genon is a generator of nonlinear preferences for intelligent artificial agents.
Provider-side demo using consumer-driven contract testing
Design by Contract with Functional Programming
Collection of reusable contracts and libraries I use in contracts I write.
Consumer-side demo using contract driven development
Detect changes in multiple Terms and Conditions webpages. Get alerts of changes via email, Asana task creation and Google Drive download of the changed Terms and Conditions. This demo uses Thieves REST API and Webhooks.
Automates contract data extraction from PDFs to Excel, reducing manual entry and improving accuracy. This tool captures key details like Contract IDs, Period of Performance, and other essential descriptions with precision. The built-in regex pattern is intuitive, adaptable, and can be easily modified for any custom data scraping application.
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