DeepFilterNet vs FOSSLight Hub
DeepFilterNet
github.comFOSSLight Hub
fosslight.orgSide by side
| Figure | DeepFilterNet | FOSSLight Hub |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | — |
| Web | — | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 1 |
| Spec score · Open Source License Compliance Software | 9.0 (#1) | 7.8 (#12) |
| License | The repository code is free and open source under either the MIT License or Apache License 2.0, at the user's option. | The Hub is released under the AGPL-3.0 open source license. |
| Purpose | DeepFilterNet is a low-complexity speech enhancement framework for full-band 48 kHz audio using deep filtering. | FOSSLight Hub manages open source, licenses, vulnerabilities, project BOMs, and open source compliance workflows. |
| Security | The repository page shows a Security and quality tab but provides no security or compliance claims in the project information read. | The project Security tab tracks vulnerability findings from the project SBOM, with a configurable vulnerability score threshold and resolution status. |
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.
FOSSLight Hub
FOSSLight Hub has no write-up on Specifiction yet; its figures are above.