DeepFilterNet vs Grype
DeepFilterNet
github.comGrype
github.comSide by side
| Figure | DeepFilterNet | Grype |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 2 |
| Spec score · Software Composition Analysis Software | 8.9 (#1) | 8.7 (#4) |
| Licence | The repository is free and dual-licensed so users may choose MIT or Apache License 2.0. | Grype is released under the permissive Apache-2.0 licence; its logo uses CC BY 4.0. |
| 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 project is released under the Apache-2.0 License. |
| Purpose | DeepFilterNet is a low-complexity speech enhancement framework for full-band 48 kHz audio using deep filtering. | Grype scans container images, filesystems, and SBOMs for known vulnerabilities. |
| What it does | DeepFilterNet is a low-complexity speech-enhancement framework that uses deep filtering for full-band audio. | Grype scans container images, source directories, filesystems, archives, SBOMs and individual packages for known vulnerabilities. |
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.
Grype
Grype is a free, Apache-2.0-licensed scanner for known vulnerabilities in container images, filesystems, and software bills of materials (SBOMs). It can also scan directories, individual files, archives, and packages identified by PURL or CPE. Coverage includes major operating-system package ecosystems and language packages such as Ruby, Java, JavaScript, Python, .NET, Go, PHP, and Rust; supported image formats include Docker, OCI, and Singularity. Grype uses EPSS, KEV, and risk scoring to help prioritize findings. OpenVEX can filter results or add context. Reports can be emitted as a table, JSON, SARIF, or a custom Go template. The project supports SBOM generation and runs on Linux, macOS, Windows, or in a self-hosted setup. Installation options include a Docker image and community packages such as Homebrew, MacPorts, Winget, Scoop, and Snapcraft. Individual package scanning is described as useful for lightweight vulnerability checks and compliance scanning of specific dependencies. Security updates are applied only to the most recent release, and vulnerability-report support is described as best effort.