DeepFilterNet vs Eclipse Steady

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.

Eclipse Steady is an open-source tool for analyzing Java and Python applications that depend on open-source components with known vulnerabilities. It combines static and dynamic analysis to determine whether vulnerable code is reachable or executed in an application context, using a code-focused, usage-based assessment rather than metadata alone. The project includes Java and Python client tools, server-side REST services, and web frontends. Documentation covers Java scans for Maven, Gradle, and command-line workflows, plus Python command-line scanning. Jenkins and other continuous-integration systems can automate scans. Java Maven reports can be written as HTML, XML, or JSON. Its backend runs as a Docker Compose application during scans, storing vulnerability information and results. Initial setup processes code-level vulnerability data, followed by daily delta updates. Eclipse Steady is free under Apache License 2.0; version 3.2.5 is labeled an Incubator Project.