{"categories":[{"label":"Testing","url":"https://skillfed.io/packages/category/software-development-testing/4"},{"label":"Quality Assurance","url":"https://skillfed.io/packages/category/software-development-quality-assurance/3"}],"enrichment":{"capability":"Wraps Faker's random test data generation as Robot Framework keywords, letting you generate realistic fake data directly in Robot Framework test cases without static test data.","skillfed_tags":["test-automation","fake-data","robot-framework"],"use_cases":["Generate diverse realistic names, emails, and addresses in data-driven test suites to avoid false positives from hardcoded values.","Seed Faker with a fixed value in CI/CD to ensure reproducible test runs while still using varied data.","Create locale-specific test data (e.g., German addresses, French names) by specifying locale at library initialization.","Populate database fixtures and API payloads with synthetic data that exercises real-world input patterns.","Build parameterized tests that exercise your system with hundreds of realistic variations without manual data entry."],"what_it_does":"robotframework-faker bridges Faker, a popular fake data generator, into Robot Framework's keyword-driven testing model. Instead of hardcoding test values, you call Faker methods as Robot Framework keywords to generate realistic random data on the fly\u2014names, addresses, emails, phone numbers, and much more. This helps catch bugs that static test data might mask by forcing your system under test to handle genuine variety.\n\nThe library wraps Faker's API directly, exposing its docstrings as Robot Framework keyword documentation visible in RIDE and libdoc output. You can configure locales and seeds at library initialization time. Since version 6.0.0, Faker is no longer pinned in requirements, giving you flexibility to choose your Faker version but making you responsible for compatibility management.","worth_installing":"Yes, if you use Robot Framework and want to move away from static test data. The library is stable (Production/Stable status), has low install friction, and carries no known vulnerabilities. The aging maintenance status (last release 392 days ago) is a minor concern but not a blocker\u2014the repository is still active and the library's scope is narrow and mature. The key gotcha is that you must now manage Faker version compatibility yourself; verify that your chosen Faker version works with your test environment before committing."},"id":"robotframework-faker","links":{"html":"https://skillfed.io/packages/robotframework-faker","md":"https://skillfed.io/packages/robotframework-faker.md","pypi":"https://pypi.org/project/robotframework-faker/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2025-07-18","license_spdx":null,"license_treatment":"permissive","name":"robotframework-faker","python_support":"unspecified","summary":"Robot Framework wrapper for faker, a fake test data generator"},"popularity":{"monthly_downloads":248296,"position":8669,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"6.0.0"}