14 open-source projects similar to scottt/debugbreak, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Debugbreak alternative.
snacks.nvim is a comprehensive collection of quality-of-life plugins and utilities designed to extend the core functionality of Neovim. It serves as a multi-purpose toolkit providing a UI framework, navigation enhancements, and integrations with external services. The project distinguishes itself by combining a wide array of specialized tools into a single suite, including a picker-based file explorer, a deep GitHub integration for managing issues and pull requests, and a set of development utilities for profiling Lua performance and inspecting code execution. Its broader capability surface
Temperature and Humidity Logger using SHT15 written in Python 3 (MicroPython for the PyBoard 1.1).
Easy to use - simple API, works out of the box - Advanced filtering and log levels per topic or output - Thread-safety via external locking injection - Customization - only data you need - Extensible - add your own features via public API, set of predefined extensions - Support for embedded…
Here is a class for sending an exception with stacktrace from your micropython instance to Sentry.
This python module does implement a simple remote syslog client for MicroPython. Currently only UDP based remote logging is implemented.
Logging on micropython is not an easy task. micropython has many unfinished interfaces, so the log content that can be recorded is very limited. I designed this ulogger library based on the situation of micropython.
This library provides a means of examining the behaviour of a running system. It is intended for profiling code whose behaviour may change dynamically such as asyncio applications, threaded code or applications using interrupts.
CO2, Humidity and Temperature Logger using Sensirion SCD30 written in Python 3 for MicroPython. Continously logs date, time and sensor data on a file on the SD card. The SD card as well as the sensor module is turned off to conserve battery power (further improvements possible by using RTC…
Flagger is a Kubernetes operator designed to automate the lifecycle of application deployments through progressive delivery. It functions as a controller that monitors custom resource definitions to orchestrate complex release strategies, including canary, blue/green, and A/B testing. By continuously reconciling the desired cluster state with the actual environment, it ensures that deployments adhere to defined specifications while managing the underlying infrastructure required for traffic routing. The project distinguishes itself through a sophisticated metric-driven analysis loop that eval