Anchore Enterprise vs DeepFilterNet

Anchore Enterprise is an SBOM-powered platform for continuous software supply-chain security and compliance. It generates software bills of materials for containers, source code, and filesystems in Syft, CycloneDX, and SPDX formats, then continuously scans those SBOMs for vulnerabilities, secrets, and malware. Policy packs cover NIST, FedRAMP, and DISA, while policy-as-code rules use JSON instructions that can be version controlled in Git. Runtime inventory can cover images running across EKS, ECS, AKE, GKE, and OpenShift clusters. Deployment options include an AWS machine image or container images installed with Helm on Kubernetes-compatible platforms, including air-gapped environments. Every feature and operation can be instrumented through an API. Integrations include major CI, registry, and cloud services such as GitHub Actions, GitLab CI, Jenkins, Amazon ECR, Azure DevOps, Docker Hub, and Harbor. It supports API, Linux, self-hosted, and web environments. Pricing is on request; there is no free plan, but a free trial is available.

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.