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Source channel @githubtrending · Post #15078 · Aug 20

#vue#canvas_editor#design#design_editor#editor#fabricjs#image_editor#poster#svg_editor#vue_fabric You can use a powerful open-source image editor built with fabric.js and Vue that lets you easily design images by dragging and dropping. It supports many features like importing PSD and JSON files, exporting PNG and SVG, layers, gradients, custom fonts, cropping, filters, and more. You can customize fonts, templates, right-click menus, and shortcuts, and extend it with plugins. This editor is lightweight and simple to use, making it great for quick image editing without complex tools. It also offers a paid version with full backend support and batch image generation, helping you save time and reduce development effort. https://github.com/ikuaitu/vue-fabric-editor

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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