DeepFilterNet vs licscan

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.

licscan is a free command-line tool for checking project dependencies for license risk and producing software bills of materials and EU CRA evidence. It supports Go, Node.js, PHP, Python, Ruby, Rust, and Java projects. Its configurable five-level risk model can deny, warn about, or allow licenses, with exceptions. Output formats include table, JSON, HTML, Markdown, CycloneDX, SPDX, CRA PDF, SARIF, and JUnit. CRA mode creates a PDF and an extended CycloneDX JSON SBOM containing manufacturer and product metadata. LicScan runs locally without an account, telemetry, backend connection, or phone-home behavior; the maker describes scans as deterministic for the same inputs. Its official GitHub Action can post verdicts on pull requests, fail builds for denied licenses, and upload SBOM artifacts. SARIF and JUnit outputs support other CI workflows. It runs on Linux, macOS, and Windows, with installation options including Homebrew, curl, and go install. The free open-source plan is listed at free, with $0 per scan and an Apache 2.0 license.