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Source channel @githubtrending · Post #14870 · Jun 27

#c_lang Microui is a very small and simple user interface library written in plain C, with about 1100 lines of code. It works within a fixed memory size without extra allocation and includes basic controls like windows, buttons, sliders, textboxes, and labels. It can be used with any system that can draw rectangles and text, and you can easily add your own custom controls. Microui processes user input and generates drawing commands but does not draw itself, so you handle rendering separately. This makes it lightweight, portable, and easy to integrate into various projects, especially where minimal memory use and simplicity are important[1][2]. https://github.com/rxi/microui

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Interesting Planet 🌍

@interesting_planet_facts · Post #1053 · 11/19/2025, 06:11 PM

🌎 In 1977, the Soviet Venera 14 probe recorded mysterious low-frequency “thunder”-like sounds on Venus. Scientists now attribute these to seismic activity or wind interacting with the planet’s dense atmosphere. Venus’s surface winds move slowly, but thick air carries sound much farther than on Earth. ✨ #Venus⚡#sounds⚡#space 👉subscribe Interesting Planet 👉more Channels ​

djangoproject

@djangoproject · Post #255 · 02/02/2017, 06:57 PM

https://github.com/tyiannak/pyAudioAnalysis #pyAudioAnalysis is a Python library covering a wide range of audio analysis tasks. Through pyAudioAnalysis you can: Extract #audio features and representations (e.g. mfccs, spectrogram, chromagram) Classify unknown #sounds Train, parameter tune and evaluate classifiers of audio segments Detect audio events and exclude silence periods from long recordings Perform supervised segmentation (joint segmentation - classification) Perform unsupervised segmentation (e.g. speaker diarization) Extract audio thumbnails Train and use audio regression models (example application: emotion recognition) Apply dimensionality reduction to visualize audio data and content similarities