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Metaplane vs PySAD

Metaplane

metaplane.dev

PySAD

github.com

Side by side

FigureMetaplanePySAD
Price fromFreeFree
Free planYesYes
Free trialYes—
Open source——
WebYes—
Windows—Yes
macOS—Yes
Linux—Yes
APIYes—
Plans published31
Spec score · Anomaly Detection Software7.5 (#12)7.4 (#14)
SecurityMetaplane states that it complies with SOC 2, GDPR, and HIPAA, and that its SOC 2 report and Data Process Addendum are available upon request.The repository links to a security policy, but the policy page could not be opened during this research.
SupportFree and Pro list email support; Enterprise includes premium support, a shared Slack channel, a customer success manager, and engineering time.The maintainer says issues and pull requests are welcome and aims to reply within a few days; questions and show-and-tell go in GitHub Discussions.

Plans

Metaplane

  • FreeFree
  • EnterprisePriced on request
  • ProPrice not published

Metaplane pricing →

PySAD

  • PySADFree

PySAD pricing →

In their own words

Metaplane

Metaplane is a cloud data observability platform for monitoring data quality and catching issues before they affect business operations. Its monitors cover volume, schema, freshness, uniqueness, nullness, statistical distribution, and custom SQL. Machine-learning anomaly detection accounts for seasonality and trends, and real-time detection is listed. Column-level lineage maps data from sources through to BI tools and is included in Pro and Enterprise. Data CI/CD previews downstream impact and tests changes in pull requests; it is an add-on in those plans. Integrations include Snowflake, BigQuery, Redshift, ClickHouse, Databricks, dbt, Tableau, Looker, Slack, Microsoft Teams, PagerDuty, and Jira. Metaplane says it accesses aggregate metadata rather than sensitive customer information. It runs on AWS, hosts servers in the U.S., uses recent TLS versions for connections, and encrypts databases at rest. A free plan is described as free forever, with 10 monitored tables, four users, and three custom SQL monitors; a 14-day trial is also offered.

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PySAD

PySAD is a free, open-source Python framework for online anomaly detection in streaming data. Its models update when each new data instance arrives, supporting sequential detection for univariate and multivariate data. The project describes 16 online detectors, including xStream, LODA, RS-Hash, Half-Space Trees, and Robust Random Cut Forest. It also provides stream simulators, evaluators, preprocessors, statistic trackers, postprocessors, and probability calibrators. Integrations allow batch anomaly detectors from PyOD to run in a streaming setting. Experiments can use supervised, semi-supervised, or unsupervised settings. The documentation says streaming methods may retain one instance or a small recent window to meet memory and processing constraints. Installation is available through pip or the GitHub source; the current README lists Python 3.10 or newer on Linux, macOS, and Windows. PySAD is self-hosted and distributed under a BSD 3-Clause license. Its plan costs nothing, and 17 labelled benchmark datasets are downloaded on first use.

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