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Anomalib vs ExtraHop RevealX

Anomalib

github.com

ExtraHop RevealX

extrahop.com

Side by side

FigureAnomalibExtraHop RevealX
Price fromFree—
Free planYes—
Free trial—Yes
Open sourceYes—
WebYesYes
WindowsYes—
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published22
Spec score · Anomaly Detection Software9.1 (#1)7.7 (#8)
DeploymentInference options include Torch, Lightning, Gradio, and OpenVINO.RevealX can be self-hosted or cloud delivered, with physical and virtual sensors; named options include SaaS RevealX 360 and on-premises RevealX Enterprise.
PurposeAnomalib is a deep learning library for benchmarking, developing, and deploying anomaly detection algorithms, with a focus on detecting or localizing anomalies in images and videos.RevealX combines network detection and response, network performance management, intrusion detection, and packet forensics in one platform.

Plans

Anomalib

  • Open-source Anomalib libraryFree
  • Open-source libraryFree

Anomalib pricing →

ExtraHop RevealX

  • RevealX 360Priced on request
  • RevealX EnterprisePriced on request

ExtraHop RevealX pricing →

In their own words

Anomalib

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.

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ExtraHop RevealX

ExtraHop RevealX combines network detection and response, network performance management, intrusion detection, and packet forensics for enterprise security and IT teams. It analyzes packets and applications across network conversations using decryption, packet-level investigation, and cloud-scale machine learning. ExtraHop says out-of-band decryption handles up to 100 Gbps across more than 90 network and application protocols. RevealX detects encrypted threats and lateral movement; cloud-updated intrusion detection signatures cover known attacks. Packet Forensics supports capture across hybrid environments, global search, and packet viewing and analysis in the same platform, with packets retained alongside context. Deployment can be cloud-delivered or self-hosted with physical or virtual sensors; named options are SaaS RevealX 360 and on-premises RevealX Enterprise. Listed integrations include AWS, Jira, CrowdStrike, Cisco, Google Cloud, and Datadog. Subscriptions include Learning Hub access and self-directed learning and certification. Standard technical support is included, with 24/5 global coverage and weekend support for critical issues. Pricing is available on request, and a free trial is offered without a stated duration.

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