Run the tests related to the changed files (according to Git) 🤓
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Updated
Jul 1, 2026 - Python
Run the tests related to the changed files (according to Git) 🤓
Flexible and scalable template based on PyTorch Lightning + Hydra. Efficient workflow and reproducibility for rapid ML experiments.
reference code for syntaxnet
Python implementation of Domain Notification Pattern
A simple framework for sending test payloads for known web CVEs.
Type-safe YAML integration tests. Tests that write your docs. Tests that rewrite themselves.
BigQuery test kit is a framework written in python that allows you to be more confident in your SQL and check that they are ready to prod. Rendering SQL template is part of this framework as well if you rely, for instance, on Airflow to orchestrate your jobs and their macros.
This tool presents a novel approach to bolstering network protocol verification by integrating the Shadow network simulator with the Ivy formal verification tool to check time properties. Furthermore, it extends Ivy’s capabilities with a dedicated time module, enabling the verification of complex quantitative-time properties.
Use cultivar to test your Agent Skills and Docs by running them in sandboxes, and across different agents.
Time dilation & contraction in asyncio event loops (in tests)
Library Management System is a compact desktop library-management app built with Python and Tkinter. It supports admin and member workflows, two-step sign-in (password + TOTP), book lending/returns, overdue tracking, CSV/JSON import‑export, and simple analytics. Data is saved locally and designed for learning, small libraries, and safe offline use.
HashAttackDemos; an educational Python toolkit demonstrating secure password hashing (Argon2id, bcrypt, scrypt) and common failure modes (MD5, rainbow tables). Includes reusable library hash_password_cracker, attack demos (dictionary/rainbow/hybrid), CLI tools, and unit tests - for defensive learning on data you own or are authorized to test.
Quickly & Ergonomically transform your Django Tests to track performance statistics like response time, queries, memory usage, and more! Optional Educational Guidance for Beginners, teaching good Performance Practices for Django Models, Views, and Serializers.
TCP-Playground; A simple multi-client TCP, compact, cross‑platform Python multi‑client chat toolkit for learning and LAN testing. Includes host.py (server), clint.py (client), and net_utils.py utilities; supports optional TLS with password‑protected message encryption, CLI flags for scripted use, and unit tests for core validation.
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