PyOD
6.5#6 in anomaly detection softwareFree planFree planAPILinuxmacOSSelf-hosted
VisitPyOD vs Soda
What both publish
| Fact | PyOD | Soda |
|---|---|---|
| Founded | 2017 | 2019 |
| Integrations | Optional pip extras enable PyTorch, SUOD, XGBoost, model combination, thresholding, embeddings, OpenAI embeddings, Hugging Face encoders, graph models, MCP, and audio features. | Soda advertises integrations with data-stack tools, catalogs, orchestration systems, incident-management tools and CI/CD workflows. |
| Intended users | The project says PyOD serves academic research and commercial products worldwide. | Soda describes its workflow as serving data engineers, data producers and consumers, governance teams, and platform teams. |
| Purpose | PyOD is a Python library for anomaly detection. | Soda is a data quality platform for monitoring data quality, catching problems early, understanding issues at source, and taking action. |
PyOD plans
- PyODFree
Soda plans
- FreeFree
- Team$750 a month
- EnterprisePriced on request
Pick PyOD if…
PyOD suits Python users working on anomaly detection across varied data types, including researchers and commercial product teams. Agent and LLM integrations are available, but ADEngine can also run without an LLM.
Pick Soda if…
Soda is aimed at data engineers, data producers and consumers, governance teams, and platform teams who need data checks and observability across workflows.