DeepFilterNet vs ScanCode.io

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.

ScanCode.io provides a web interface and API for running software composition analysis scans in scripted pipelines. It scans containers, Docker images, package archives, and manifests for license, copyright, source, and vulnerability information, and can generate or consume CycloneDX and SPDX SBOMs. The same capabilities are available through its command-line interface and REST API. Documented pipeline integrations include GitHub Actions, Jenkins, GitLab, and Azure Pipelines; other CI/CD systems that support Docker can run it too. It can fetch packages using Package URLs and retrieve artifacts from JFrog Artifactory and Sonatype Nexus. Installation is preferably through Docker, including for Windows; Linux server installation is also supported, and an offline Docker package can be transferred to an isolated server. The software is open source under Apache License 2.0 and is free. Authentication for the web interface and API is disabled by default, but can be enabled. Its default setup starts one worker, so it runs one pipeline at a time.