Anomalib vs Axomaly

Anomalib is a free, Apache-2.0-licensed deep learning library for developing, benchmarking and deploying anomaly detection algorithms, especially for images and videos. Its modular Python API and command-line interface support training, inference and benchmarking, and the project includes ready-to-use algorithms and benchmark datasets. Model implementations are based on Lightning; inference options include Torch, Lightning, Gradio and OpenVINO. Most models can be exported to OpenVINO Intermediate Representation for accelerated inference on Intel hardware. Installation choices include CPU, NVIDIA CUDA on Linux or Windows, AMD ROCm on Linux and Intel XPU on Linux. Documented experiment-tracking integrations include Weights & Biases, Comet.ml and TensorBoard through PyTorch Lightning loggers. Anomalib Studio adds a low/no-code web application that accepts USB or IP cameras or image folders and can send output to industrial pipelines through ROS messages or MQTT. Studio is offered as a Docker container or standalone application, but is a pre-release under active development; features may change and functionality may be incomplete or unstable. Intel GPU training currently supports one GPU.

Axomaly is a cloud service that learns patterns in SaaS product and business metrics and flags meaningful changes without fixed thresholds. It accepts timestamped time-series values, with optional metadata, for business, operational, and application metrics. Before creation, Smart Metric Creation prepares a detection configuration and baseline requirements for review. Values are submitted through a REST API, one timestamped value per POST request. Detection begins once the required history is available; the amount depends on metric cadence and detector configuration. Results include an anomaly decision, confidence, expected range, direction of change, and detector evidence, which can feed existing workflows alongside logs, traces, dashboards, and alerting. The alpha starts with one metric and includes guided onboarding and direct support. It is free during alpha with no credit card required. During that period, data and results are hosted in the EU, isolated by organisation, encrypted in transit using HTTPS/TLS, and kept for up to 12 months before rolling deletion.