DeepFilterNet vs ScanCode Toolkit
DeepFilterNet
github.comScanCode Toolkit
scancode-toolkit.readthedocs.ioSide by side
| Figure | DeepFilterNet | ScanCode Toolkit |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 1 |
| Spec score · Open Source License Compliance Software | 9.0 (#1) | 7.7 (#14) |
| Purpose | DeepFilterNet 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. |
Plans
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.
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.