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DeepFilterNet vs ScanCode Toolkit

DeepFilterNet

github.com

ScanCode Toolkit

scancode-toolkit.readthedocs.io

Side by side

FigureDeepFilterNetScanCode Toolkit
Price fromFreeFree
Free planYesYes
Free trial——
Open sourceYes—
WindowsYesYes
macOSYesYes
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published21
Spec score · Open Source License Compliance Software9.0 (#1)7.7 (#14)
PurposeDeepFilterNet is a low-complexity speech enhancement framework for full-band 48 kHz audio using deep filtering.ScanCode Toolkit scans codebases to detect code origin, copyrights, licenses, vulnerabilities, packages and dependencies.

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DeepFilterNet

  • DeepFilterNetFree
  • Free and open sourceFree

DeepFilterNet pricing →

ScanCode Toolkit

  • ScanCode ToolkitFree

ScanCode Toolkit pricing →

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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ScanCode Toolkit

ScanCode Toolkit is a free tool for scanning codebases for origin, copyrights, licenses, vulnerabilities, packages, and dependencies. It can run as a command-line tool or as a library within an application. Its license detection compares text extracted from files with an index of license texts and rules. Scanning can recursively unpack archives and extract text from binary files when needed, while package support covers manifests, lockfiles, and package datafiles. Results can be saved as JSON, YAML, JSON Lines, HTML, SPDX, Debian copyright, or CycloneDX; CSV is marked deprecated. JSON results can feed ScanCode Workbench and other applications that accept ScanCode data. Plugins extend processing stages, and external plugins can add license data. Installation options include release archives, Docker, source, pip, and Fedora’s repository. Linux, macOS, and Windows are listed as tested platforms, with 64-bit operating system and Python requirements. The project points users to community Slack and GitHub discussions for help; scan output is provided without warranties and is not legal advice.

Visit scancode-toolkit.readthedocs.io