{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/14"}],"enrichment":{"capability":"stqdm wraps tqdm progress bars for Streamlit apps, displaying iteration progress in the Streamlit UI instead of or alongside terminal output.","skillfed_tags":["streamlit-ui","progress-tracking"],"use_cases":["Show iteration progress in a Streamlit app's main area or sidebar while processing a loop.","Display progress during pandas DataFrame or Series operations (map, apply) in a Streamlit context.","Temporarily override progress bar settings within a code block using scoped configuration.","Suppress frontend display while keeping backend progress tracking for logging or debugging.","Set app-wide default progress bar behavior (e.g., always show in sidebar) without per-loop configuration."],"what_it_does":"stqdm is a thin wrapper around tqdm that renders progress bars inside Streamlit apps instead of in the terminal. It inherits tqdm's API, so you can drop it into existing code with minimal changes \u2014 pass a range or iterable to stqdm() and get a Streamlit-native progress display. The package accepts tqdm parameters (desc, mininterval, etc.) and adds Streamlit-specific options like st_container to place the bar in the sidebar or main area, and frontend/backend flags to control where the bar appears.\n\nThe library is intentionally minimal and low-churn, designed to stay compatible with current Python versions (3.11+) and Streamlit updates. It supports pandas integration via stqdm.pandas(), scoped configuration through context managers, and global defaults via set_default_config(). With 293 GitHub stars and active maintenance, it's a stable choice for adding progress feedback to Streamlit workflows.","worth_installing":"Yes. stqdm solves a real gap in Streamlit apps\u2014tqdm progress bars don't render in the UI by default. It has low install friction, no security vulnerabilities, permissive licensing, and active maintenance. Use it whenever you need to show loop or operation progress to users in a Streamlit interface."},"id":"stqdm","links":{"html":"https://skillfed.io/packages/stqdm","md":"https://skillfed.io/packages/stqdm.md","pypi":"https://pypi.org/project/stqdm/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-14","license_spdx":null,"license_treatment":"permissive","name":"stqdm","python_support":"supports_current","summary":"Easy progress bar for streamlit based on the awesome streamlit.progress and tqdm"},"popularity":{"monthly_downloads":255008,"position":8486,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.2.1"}