DeepFilterNet vs FossID Workbench
DeepFilterNet
github.comFossID Workbench
fossid.comSide by side
| Figure | DeepFilterNet | FossID Workbench |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | Yes | — |
| Web | — | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 1 |
| Spec score · Software Composition Analysis Software | 8.9 (#1) | 8.2 (#12) |
| Spec score · Open Source License Compliance Software | 9.0 (#1) | 8.2 (#6) |
| Purpose | DeepFilterNet is a low-complexity speech enhancement framework for full-band 48 kHz audio using deep filtering. | FossID Workbench is a software composition analysis tool for identifying third-party components, licenses, and vulnerabilities in codebases. |
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.
FossID Workbench
FossID Workbench is a software composition analysis tool for identifying and governing third-party software in codebases. It analyzes direct and transitive dependencies, scans unmanaged source code across programming languages, and detects embedded open-source snippets, including modified code. ID Assist proposes component identifications, while License Extractor extracts file-level license text. Vulnerable Snippet Finder locates code blocks linked to CVEs, with VEX data adding exploitability context. Workbench creates, imports, consolidates, and exports software bills of materials with component, license, vulnerability, and usage information in SPDX or CycloneDX formats. Policy Management can enforce license, security, and usage rules across projects. GitHub, GitLab, and Bitbucket imports are supported, alongside CI/CD scanning, gating, pull-request notifications, and API workflows. Deployment options include cloud, hybrid, on-premises, and offline air-gapped setups. It supports many ecosystems, including JavaScript, Java/Kotlin, Python, Rust, Go, C/C++, .NET, and others. Pricing is available on request.