PySAD vs Soda
PySAD
github.com
Soda
soda.ioSide by side
| Figure | PySAD | Soda |
|---|---|---|
| Price from | Free | $750/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 3 |
| Spec score · Anomaly Detection Software | 7.4 (#14) | 8.5 (#2) |
| License | The project is distributed under a BSD 3-Clause license. | Soda Core changed from Apache 2.0 to Elastic License 2.0 in January 2026; the source remains readable and modifiable but cannot be offered as a competing hosted service. |
| Purpose | PySAD is an open-source Python framework for anomaly detection on streaming multivariate data. | Soda is a data quality platform for monitoring data quality, catching problems early, understanding issues at source, and taking action. |
| Security | The repository links to a security policy, but the policy page could not be opened during this research. | Soda’s Trust Center lists SOC 2 Type 2, SOC 3, DORA, and GDPR under compliance. |
| Support | 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. | Soda lists premium support as an Enterprise feature and provides a support contact at [email protected]. |
Plans
In their own words
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.
Soda
Soda is a data quality platform for monitoring production data, testing data through development and deployment, and investigating issues. Its machine-learning-powered observability looks for unexpected changes without requiring every rule to be set in advance. Teams can test data during development, deployment, transformation, and CI/CD workflows. Data contracts let producers and consumers specify expected schemas, data types, value ranges, and other constraints. Soda lists integrations including Databricks, Snowflake, PostgreSQL, Airflow, dbt, Slack, Microsoft Teams, Jira, and PagerDuty, and offers three deployment models for different infrastructure and privacy needs. Its listed database support includes Athena, BigQuery, Databricks SQL, Dremio, DuckDB, Fabric, MySQL, Oracle, PostgreSQL, Redshift, Spark Dataframe, Snowflake, SQL Server, Synapse, and Trino. The Free plan is free and includes pipeline testing, metrics observability, and alerting and ticketing integrations. Team is $750 a month; Enterprise has no listed price. Soda lists SOC 2 Type 2, SOC 3, DORA, and GDPR under compliance. It was founded in 2019 and lists locations in Chicago, Illinois, and Brussels, Belgium.