Best Anomaly Detection Software in 2026

Soda

Soda is aimed at data engineers, data producers and consumers, governance teams, and platform teams.

PyOD

PyOD suits Python users in academic research or commercial products who need anomaly detection across different data types.

ObservabilityOS

It suits teams that want log and telemetry anomaly detection alongside incident response tools.

Axomaly

It suits teams tracking business, operational, or application metrics who can send timestamped values through an API.

OpenSearch

OpenSearch suits teams building search, observability, or security analytics applications across on-premises, hybrid, or multicloud deployments.

ExtraHop RevealX

RevealX suits enterprise security and IT teams investigating threats and network performance issues.

Progress Flowmon

Flowmon is for organizations needing network visibility, security detection, and performance analysis.

Corelight Open NDR

It is aimed at large enterprises and government agencies seeking network detection across on-premises, air-gapped, hybrid or multicloud environments.

ManageEngine NetFlow Analyzer

It suits teams that need to monitor network bandwidth and traffic across supported flow protocols.

Metaplane

Metaplane suits teams monitoring data in warehouses and BI workflows that want anomaly detection, alerts, or lineage.

OpenUBA is aimed at security analysts who want to examine how models work under the hood.

PySAD suits Python users working on streaming anomaly detection, including those evaluating univariate or multivariate data in supervised, semi-supervised, or unsupervised settings.

Darktrace / EMAIL

It suits security teams protecting organizational email and reducing SOC investigations.

Vectra AI Identity Threat Detection and Response

ITDR is intended for security teams, security architects, analysts, SOCs and IAM teams.

Securonix UEBA

It suits enterprise security teams seeking detection and investigation of insider or advanced cyber threats.

Anodot

Anodot suits organizations seeking web-based, cloud data monitoring with automated insights, forecasting, and root-cause analysis.