{"categories":[{"label":"Build Tools","url":"https://skillfed.io/packages/category/software-development-build-tools/2"}],"enrichment":{"capability":"Provides command-line and Python utilities for package maintainers to manage examples, fetch data, and report package versions across a project.","skillfed_tags":["package-maintenance","example-distribution","cli-utilities"],"use_cases":["Provide users with a command to download and organize project examples and associated datasets in a consistent way","Automate copying example files into a package during build and distribution","Check installed package versions across the current Python environment from within a Jupyter notebook","Fetch large datasets on demand with fallback to smaller test files for development","Integrate example management into downstream projects without reimplementing the same logic"],"what_it_does":"pyct is a utility package designed for Python project maintainers to automate common packaging and distribution tasks. It provides two main modules: pyct.cmd, which adds subcommands to existing argparse-based CLI tools (or creates new ones) for copying examples and fetching data, and pyct.build, which helps package examples alongside a project during setup. The package also includes a reporting utility to check package versions in the current environment, useful for Jupyter notebook users and environment diagnostics.\n\nThe package depends only on param and supports Python 3.8 through 3.13. It is intended to be integrated into downstream projects (like those in the PyViz ecosystem) to provide consistent example and data management workflows. Commands can be customized via YAML-based dataset definitions and support test-data stubs for smaller development iterations.","worth_installing":"Yes, if you maintain a Python project that distributes examples and data files. The low install friction and permissive license make it a practical choice for project maintainers. The aging status (322 days since release) is not a blocker since the repository is still active, but verify that pyct.build's implementation aligns with your current packaging workflow before adopting it."},"id":"pyct","links":{"html":"https://skillfed.io/packages/pyct","md":"https://skillfed.io/packages/pyct.md","pypi":"https://pypi.org/project/pyct/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2025-09-26","license_spdx":"BSD-3-Clause","license_treatment":"permissive","name":"pyct","python_support":"supports_current","summary":"Python package common tasks for users (e.g. copy examples, fetch data, ...)"},"popularity":{"monthly_downloads":526392,"position":6178,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.6.0"}