{"categories":[{"label":"Testing","url":"https://skillfed.io/packages/category/software-development-testing/3"}],"enrichment":{"capability":"Nutter is a testing framework for Databricks notebooks that lets you write and run test fixtures directly in notebooks or via a command-line interface, with support for parallel execution and CI/CD integration.","skillfed_tags":["databricks","notebook-testing","ci-cd-integration"],"use_cases":["Write and run unit tests for data transformation notebooks within Databricks without leaving the notebook environment.","Integrate notebook tests into build pipelines to validate data processing logic as part of CI/CD workflows.","Execute multiple test notebooks in parallel from the CLI to speed up validation of a suite of data engineering workflows.","Set up test fixtures with before_all and after_all hooks to manage test data setup and cleanup across multiple assertions."],"what_it_does":"Nutter is a testing framework designed to make it straightforward to test Databricks notebooks by defining test fixtures as Python classes that inherit from NutterFixture. You write test methods using a naming convention (run_*, assertion_*, before_*, after_*) to structure your test logic, then execute them either interactively within the notebook or via the Nutter CLI from your development machine or build pipeline.\n\nThe framework has two main components: the Nutter Runner, which is installed as a library on your Databricks cluster and provides the NutterFixture base class, and the Nutter CLI, which runs on your local machine or build agent to orchestrate test execution and collect results. It supports parallel test execution, lifecycle hooks (before_all, after_all), and produces test reports that can be integrated into build pipelines.","worth_installing":"Yes, if you are actively using Databricks and need a lightweight, notebook-native testing framework. However, exercise caution: the project is dormant (last release 2022-12-16), so compatibility with current Databricks APIs is unverified. Suitable for teams already committed to Databricks and willing to maintain or fork the code if needed; not recommended for new projects seeking active upstream support."},"id":"nutter","links":{"html":"https://skillfed.io/packages/nutter","md":"https://skillfed.io/packages/nutter.md","pypi":"https://pypi.org/project/nutter/"},"maintenance":{"status":"dormant"},"meta":{"latest_release":"2022-12-16","license_spdx":null,"license_treatment":"permissive","name":"nutter","python_support":"supports_current","summary":"A databricks notebook testing library"},"popularity":{"monthly_downloads":419694,"position":6794,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.1.35"}