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Source channel @githubtrending · Post #14839 · Jun 18

#typescript#alibaba#low_code#lowcode Low-code platforms like LowCodeEngine help you build applications quickly without needing to write a lot of code. This means you can create and deploy apps faster, which is good for businesses because they can respond quickly to changing needs. Low-code platforms also make it easier to update apps and improve user experience. They provide tools and components that simplify development, allowing developers to focus on more complex tasks and innovations. This approach helps prevent technical debt and supports better decision-making by providing real-time data insights[1][3][4]. https://github.com/alibaba/lowcode-engine

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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