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DeepFilterNet vs SafeDep vet

DeepFilterNet

github.com

SafeDep vet

github.com

Side by side

FigureDeepFilterNetSafeDep vet
Price fromFree$100/mo
Free planYesYes
Free trial—Yes
Open sourceYes—
WindowsYes—
macOSYesYes
LinuxYesYes
APIYes—
Self-hostedYesYes
Plans published23
Spec score · Software Composition Analysis Software8.9 (#1)7.9 (#28)
LicenseThe repository code is free and open source under either the MIT License or Apache License 2.0, at the user's option.The GitHub repository identifies vet as licensed under Apache-2.0.
PurposeDeepFilterNet is a low-complexity speech enhancement framework for full-band 48 kHz audio using deep filtering.vet finds malicious packages, known vulnerabilities, risky CI workflows, lockfile tampering and fresh dependency versions before they reach production.

Plans

DeepFilterNet

  • DeepFilterNetFree
  • Free and open sourceFree

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SafeDep vet

  • FreeFree
  • Team$100 a month
  • EnterprisePriced on request

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In their own words

DeepFilterNet

DeepFilterNet is a free, open-source framework for speech enhancement on full-band 48 kHz audio, using deep filtering. Its command-line tool suppresses noise in WAV files, with 48 kHz as its only supported sampling rate. A LADSPA plugin provides real-time noise suppression and can be used with PipeWire filter chains to create a virtual microphone or audio output, including for VoIP apps such as Zoom or Discord. The plugin's minimum latency is 20 ms from STFT processing, plus any delay added by the LADSPA host. The Rust command-line tool defaults to DeepFilterNet2; the Python interface documents DeepFilterNet and DeepFilterNet2. An optional post-filter may slightly over-attenuate very noisy sections. The framework supports Linux, macOS and Windows, though training is tested only under Linux. The Python package installs as deepfilternet, and an optional train extra adds data-loading functionality for Linux training. Code is available under either the MIT License or Apache License 2.0.

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SafeDep vet

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