DeepFilterNet vs SBOM Observer
DeepFilterNet
github.com
SBOM Observer
sbom.observerSide by side
| Figure | DeepFilterNet | SBOM Observer |
|---|---|---|
| Price from | Free | €69/mo |
| 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 | 8.9 (#1) | 7.6 (#43) |
| Purpose | DeepFilterNet is a low-complexity speech enhancement framework for full-band 48 kHz audio using deep filtering. | SBOM Observer analyzes SBOMs from builds and suppliers, monitors vulnerabilities and license issues, and enforces policies in CI/CD. |
| Security | The repository page shows a Security and quality tab but provides no security or compliance claims in the project information read. | The maker says managed SaaS data is stored and processed in the EU, encrypted in transit with TLS and at rest, and protected by role-based access controls. |
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.
SBOM Observer
SBOM Observer has no write-up on Specifiction yet; its figures are above.