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Source channel @githubtrending · Post #15552 · Mar 10

#java#digital_forensics#forensic#recovery IPED is a free, open-source Java tool from Brazilian Federal Police for processing and analyzing digital evidence from crime scenes or corporate probes. It handles huge cases fast—up to 400GB/hour and 135 million items—with features like data carving, hashing, regex searches for wallets/emails, face/image matching, timelines, GPS maps, OCR, and browser history parsing. Runs on Windows/Linux from USB drives with an easy interface. You benefit by getting powerful, stable forensics without cost, saving time on large investigations. https://github.com/sepinf-inc/IPED

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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