Black Duck SCA vs DeepFilterNet
Black Duck SCA
blackduck.comDeepFilterNet
github.comSide by side
| Figure | Black Duck SCA | DeepFilterNet |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | Yes | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 2 |
| Spec score · Software Composition Analysis Software | 7.8 (#30) | 8.9 (#1) |
| Purpose | Black Duck SCA helps teams manage security, quality, and license compliance risks in open source and third-party code. | DeepFilterNet is a low-complexity speech enhancement framework for full-band 48 kHz audio using deep filtering. |
Plans
Black Duck SCA
- Open source detection (enterprise edition)Priced on request
- Standard EditionPriced on request
In their own words
Black Duck SCA
Black Duck SCA has no write-up on Specifiction yet; its figures are above.
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.