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anomalo

Python bindings for the Anomalo API

With conditionsPyPI Python ModulesReleased Aug 2026137.9K downloads / moApache-2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — anomalo-0.50.1-py3-none-any.whl
v0.50.1 · released 2026-08-14 · Python >=3.9 · 7 runtime deps: casefy, dataclasses-json, fire, pyyaml, requests, tenacity, typing-extensions

Yes, if you are using the Anomalo service and need programmatic or CLI access to its API. The package has low install friction, permissive licensing, active maintenance, and no security issues. Install only if you have an Anomalo account and understand that the package's utility depends entirely on your access to the Anomalo service.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.9 or later; API credentials for the Anomalo service are likely required but not detailed in the fact sheet.
  • Low install friction with a pure-Python wheel and a modest dependency footprint of 7 runtime packages.
  • Actively maintained as of the latest release.

License · maintenance · safety

Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing use in commercial and open-source projects with minimal restrictions.

last release 2026-08-14 (0 days)

0 known vulnerabilities (OSV.dev, 2026-08-14) · 137,942 downloads/mo, #11,350 on PyPI

Verify before relying

pip install anomalo

import anomalo
# Use the client to interact with the Anomalo API
# (specific usage depends on your Anomalo service configuration)
  • Whether the package requires API credentials or authentication setup beyond what the fact sheet indicates
  • What specific data quality checks or anomaly detection methods the Anomalo service provides
  • Whether the CLI tool has built-in help or documentation accessible via --help
Same gist for agents: .md · .json

What it is and what it does

Anomalo is a Python client library that wraps the Anomalo REST API, providing both programmatic and command-line access to data quality monitoring and anomaly detection features. It depends on standard HTTP and serialization libraries (requests, pyyaml, dataclasses-json) plus tenacity for retry logic and fire for CLI scaffolding, making it straightforward to integrate into existing Python workflows.

The package is designed for teams using the Anomalo service who want to automate data quality checks, query detection results, or embed anomaly detection into larger data pipelines. It supports current Python versions (3.9+) and has been actively maintained, with no known security vulnerabilities.

Use it for

  • Monitor data quality in production pipelines by querying anomaly detection results via the REST API.
  • Automate data validation checks as part of a CI/CD workflow using the command-line interface.
  • Integrate Anomalo's anomaly detection into Python applications that need real-time data quality insights.
  • Build dashboards or reporting tools that consume anomaly detection data from the Anomalo service.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you are using the Anomalo service and need programmatic or CLI access to its API.

The package has low install friction, permissive licensing, active maintenance, and no security issues. Install only if you have an Anomalo account and understand that the package's utility depends entirely on your access to the Anomalo service.

Install

anomalo on PyPI

Before you install

Low install friction with a pure-Python wheel and a modest dependency footprint of 7 runtime packages. Actively maintained as of the latest release.

Requires Python 3.9 or later; API credentials for the Anomalo service are likely required but not detailed in the fact sheet.

License in practice

Licensed under Apache-2.0 (permissive), allowing use in commercial and open-source projects with minimal restrictions.

Quickstart

pip install anomalo

import anomalo
# Use the client to interact with the Anomalo API
# (specific usage depends on your Anomalo service configuration)

Verify before relying

  • Whether the package requires API credentials or authentication setup beyond what the fact sheet indicates
  • What specific data quality checks or anomaly detection methods the Anomalo service provides
  • Whether the CLI tool has built-in help or documentation accessible via --help

Package facts

LicenseApache-2.0 permissive
Python supportSupports the current Python release >=3.9
Install frictionLow. Pure-Python wheel
Runtime dependencies
7 packages
casefydataclasses-jsonfirepyyamlrequeststenacitytyping-extensions
MaintenanceActively maintained 0 days since the last release
First released
Downloads137,942 / month, #11,350 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Operating System :: OS IndependentTopic :: Software Development :: Libraries :: Python Modules

Evidence: anomalo-0.50.1-py3-none-any.whl

Tags

Capabilities
anomalo api clientdata quality monitoring pythonanomaly detection apirest api client pythoncommand line api tooldata validation clientanomalo python bindings
Topics
api-clientdata-qualitycli-tool

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See also apache-airflow-providers-anomalo · adtk · pyod · alibi-detect · hampel · nixtla · athina-client · darts · pyproject-api · python-otbr-api