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Source channel @githubtrending · Post #14873 · Jun 28
#rust#2d_graphics#art#compositor#design#graphic_design#graphics_editor#image_generation#image_manipulation#image_processing#node_editor#node_graph#photo_editing#photo_editor#procedural#procedural_art#procedural_drawing#svg_editor#vector_editor Graphite is a free, open-source 2D graphics editor that combines vector and raster tools with a unique hybrid workflow using layers and nodes. It lets you create detailed vector art and designs with nondestructive editing, meaning you can change your work anytime without losing quality. The node-based system offers powerful, flexible control like visual programming, while the layer system keeps things simple and familiar. This makes it easy to create complex graphics, animations, and effects all in one tool. Graphite is still evolving but aims to be a versatile, all-in-one creative platform accessible to everyone, helping you unleash your artistic potential efficiently[1][2][4]. https://github.com/GraphiteEditor/Graphite
Search: #sounds
@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 · 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
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@testflightynoti · Post #38144 · 05/12/2026, 06:59 PM
#Veil#White#Noise#Sleep#Sounds Join the Veil: White Noise Sleep Sounds beta on ✈️#TestFlight 🔗 Link: https://testflight.apple.com/join/7e5QCyMz Shared by Dimitri