Best PyOD Alternatives in 2026
The top PyOD alternatives are Progress Flowmon, ManageEngine NetFlow Analyzer and Anodot: 15 anomaly detection software our editors would look at instead of PyOD, in our ranking order.
PyOD: A flexible Python toolkit for developers building custom anomaly detectors. Where it falls short: requires local or self-hosted deployment rather than a hosted SaaS product.
Switching from PyOD? For most anomaly detection software buyers the best PyOD alternative is Progress Flowmon, built for network traffic and capacity anomaly monitoring. On a budget, ObservabilityOS starts at $29/mo. ManageEngine NetFlow Analyzer has a free plan. ObservabilityOS offers the most data retention (30 days).
Why People Look for a PyOD Alternative
- Requires local or self-hosted deployment rather than a hosted SaaS product
- Python workflows are central to installation and application integration
- Platform and integration coverage is limited for teams seeking a managed service
Quick Picks by What You Need
- Best overallProgress Flowmon9.0
Network traffic and capacity anomaly monitoring
Visit Progress Flowmon - Lowest priceObservabilityOS7.1
Paid plans from $29/mo
Visit ObservabilityOS - Best free optionManageEngine NetFlow Analyzer8.6
Has a free plan
Visit ManageEngine NetFlow Analyzer - Most data retentionObservabilityOS7.1
30 days
Visit ObservabilityOS
All 15 PyOD Alternatives, Ranked
Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.
-
Best forNetwork traffic and capacity anomaly monitoring
- Better than PyOD:
- Editor score 9.0 vs 7.4
A network-focused platform for traffic visibility, anomaly detection and capacity planning.
9.0/10★★★★☆Visit Flowmon -
Best forAffordable on-premises network flow monitoring
- Better than PyOD:
- Editor score 8.6 vs 7.4
Affordable on-premises flow monitoring with alerts, reporting, and security analytics.
8.6/10★★★★☆Visit ManageEngine -
Best forBroad business and operational metric monitoring
- Better than PyOD:
- Editor score 8.4 vs 7.4
Broad real-time anomaly detection with forecasting, correlation, and root-cause analysis.
8.4/10★★★★☆Visit Anodot -
Best forEnterprise user and entity behavior analytics
- Better than PyOD:
- Editor score 8.3 vs 7.4
Enterprise UEBA with broad entity coverage, threat correlation, and automated response.
8.3/10★★★★☆Visit Securonix -
Best forNetwork detection and response teams
- Better than PyOD:
- Editor score 8.2 vs 7.4
A network-focused platform for real-time detection, forensics, and hybrid-environment visibility.
- Real-time detection
8.2/10★★★★☆Visit ExtraHop -
Best forData teams monitoring complex data quality
- Better than PyOD:
- Editor score 8.1 vs 7.4
Anomalo combines unsupervised detection, validation, explanations, and lineage for complex data.
- Anomaly explanations
8.1/10★★★★☆Visit Anomalo -
Best forEnterprise data-quality anomaly monitoring
- Better than PyOD:
- Editor score 7.9 vs 7.4
A broad enterprise suite for detecting, scoring and remediating data-quality issues.
7.9/10★★★★☆Visit site -
Best forSecurity teams detecting network anomalies
- Better than PyOD:
- Editor score 7.9 vs 7.4
A network-focused NDR platform combining telemetry, detection, packet capture, and response integrations.
- Anomaly explanations
- Real-time detection
7.9/10★★★★☆Visit Corelight -
Best forOpen-source observability and anomaly detection
- Better than PyOD:
- Editor score 7.9 vs 7.4
A broad open-source observability platform for logs, metrics, traces, and anomaly detection.
7.9/10★★★★☆Visit OpenSearch -
Best forIdentity-focused threat anomaly detection
- Better than PyOD:
- Editor score 7.7 vs 7.4
Specialized identity threat detection with investigation and automated response for hybrid environments.
7.7/10★★★★☆Visit Vectra AI -
Best forCloud data teams needing affordable monitoring
- Better than PyOD:
- Editor score 7.6 vs 7.4
Affordable data monitoring with machine-learning detection and broad stack integrations.
- Real-time detection
7.6/10★★★★☆Visit Metaplane -
Best forComputer-vision anomaly detection developers
A focused open-source toolkit for developing and deploying image and video anomaly models.
7.3/10★★★★☆Visit Anomalib -
Best forData-quality teams with contract-based monitoring
A contract-focused platform combining data-quality checks, observability, and anomaly detection.
7.2/10★★★★☆Visit Soda -
Best forSmall teams monitoring logs, metrics, and traces
A flexible observability platform for small teams tracking logs, metrics, and traces.
- Anomaly explanations
- Real-time detection
7.1/10★★★★☆Try ObservabilityOS -
Best forOpen-source entity behavior analytics
A flexible open-source UEBA framework for teams that can operate Kubernetes.
- Real-time detection
7.0/10★★★★☆Visit OpenUBA
PyOD Alternatives: Common Questions
What is the best alternative to PyOD?
Progress Flowmon: #1 in our Anomaly Detection Software ranking, with an editor score of 9.0 out of 10. A network-focused platform for traffic visibility, anomaly detection and capacity planning.
Is there a free alternative to PyOD?
Yes. ManageEngine NetFlow Analyzer, OpenSearch, Metaplane, Anomalib and Soda have a free plan or a free tier (7 of the 15 alternatives on this page).
What is the cheapest paid alternative to PyOD?
Of the alternatives here that publish a price, ObservabilityOS starts lowest, at $29/mo.
Why do people look for PyOD alternatives?
Requires local or self-hosted deployment rather than a hosted SaaS product; Python workflows are central to installation and application integration; Platform and integration coverage is limited for teams seeking a managed service.
Which PyOD alternative has the most data retention?
ObservabilityOS, with 30 days.
How do I switch from PyOD?
Export your data from PyOD (most tools have an export in their settings). Sign up for the alternative; start on its free plan or trial if it has one. Import your export and set up the integrations your team relies on. Run both side by side for a short while, then cancel PyOD.
How to Switch from PyOD
- Export your data from PyOD (most tools have an export in their settings).
- Sign up for the alternative; start on its free plan or trial if it has one.
- Import your export and set up the integrations your team relies on.
- Run both side by side for a short while, then cancel PyOD.
PyOD vs Each Alternative
| # | Tool | Paid from | Detection method | Supported data | Deployment options | Score |
|---|---|---|---|---|---|---|
| 12 | PyOD | Free | Hybrid | tabular, time series, graph, text, image, audio | Self-hosted | 7.4 |
| 1 | Progress Flowmon | Hybrid | 9.0 | |||
| 2 | ManageEngine NetFlow Analyzer | $172/unit usage-based | 8.6 | |||
| 3 | Anodot | Cloud | 8.4 | |||
| 4 | Securonix UEBA | Hybrid | 8.3 | |||
| 5 | ExtraHop RevealX | Hybrid | network packets, applications, transactions, devices, users, identities, services, and network metadata | Hybrid | 8.2 | |
| 6 | Anomalo | Machine-learning | structured, semi-structured, unstructured, tables, documents | Hybrid | 8.1 | |
| 7 | Quest Data Quality | 7.9 | ||||
| 8 | Corelight Open NDR | Hybrid | network traffic, packet data, flow logs, cloud network traffic, protocol logs, files | Hybrid | 7.9 | |
| 9 | OpenSearch | Free | 7.9 | |||
| 10 | Vectra AI Identity Threat Detection and Response | 7.7 | ||||
| 11 | Metaplane | Machine-learning | row counts, freshness, schemas, column counts, cardinality, uniqueness, nullness, numeric statistics, custom SQL | Cloud | 7.6 | |
| 12 | Anomalib | Free | Machine-learning | images, videos | Self-hosted | 7.3 |
| 13 | Soda | $750/mo | 7.2 | |||
| 14 | ObservabilityOS | $29/mo | Hybrid | logs, metrics, traces | Hybrid | 7.1 |
| 15 | OpenUBA | Free | Hybrid | Elasticsearch, Apache Spark, CSV | Self-hosted | 7.0 |
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update