DeepFilterNet vs OpenSCA

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.

OpenSCA analyzes software components and dependencies for vulnerabilities and open-source license risks. It can be used through an IDE, command line or cloud platform, with online and offline use described. The CLI is available for Windows, Linux and macOS, and documented package ecosystems cover Java, JavaScript, PHP, Ruby, Go, Rust, Erlang and Python. OpenSCA generates SBOMs in DSDX, SPDX, CycloneDX and SWID formats; it can also take an SBOM as input to create a vulnerability report or convert formats. CLI report formats include JSON, XML, HTML, SQLite, CSV and SARIF. Its cloud vulnerability database covers CVE, CWE, NVD, CNVD and CNNVD, and configurable local databases and private package repositories are supported. Xcheck plugins are documented for IntelliJ IDEA and VS Code, and pull request scanning is supported. The free plan costs nothing. Parsing requirements.txt and requirements.in requires a pipenv environment and an internet connection.