stqdm
Easy progress bar for streamlit based on the awesome streamlit.progress and tqdm
Decision gist · record as of 2026-08-14
Yes. stqdm solves a real gap in Streamlit apps—tqdm 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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.11 or later and a running Streamlit app context to display the progress bar in the UI.
- Low friction: pure Python wheel with only two runtime dependencies (streamlit and tqdm).
- Actively maintained for compatibility; CI tracks supported Python versions (3.11–3.14) and security reports are handled privately.
License · maintenance · safety
Apache License 2.0 (permissive) — Apache License 2.0 (permissive) — you can use, modify, and distribute stqdm freely in commercial and private projects with minimal restrictions.
last release 2026-06-14 (61 days) · last repo commit 2026-06-22 · 293 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 255,008 downloads/mo, #8,486 on PyPI
Alternatives
Verify before relying
pip install stqdm
from stqdm import stqdm
from time import sleep
for _ in stqdm(range(50)):
sleep(0.5)- Whether stqdm works correctly with all Streamlit container types beyond main and sidebar.
- Performance characteristics when iterating over very large ranges or with rapid updates.
What it is and 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 — 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.
The 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.
Use it for
- 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.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
stqdm solves a real gap in Streamlit apps—tqdm 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.
Install
stqdm on PyPI
Before you install
Low friction: pure Python wheel with only two runtime dependencies (streamlit and tqdm). Actively maintained for compatibility; CI tracks supported Python versions (3.11–3.14) and security reports are handled privately.
Requires Python 3.11 or later and a running Streamlit app context to display the progress bar in the UI.
License in practice
Apache License 2.0 (permissive) — you can use, modify, and distribute stqdm freely in commercial and private projects with minimal restrictions.
Quickstart
pip install stqdm
from stqdm import stqdm
from time import sleep
for _ in stqdm(range(50)):
sleep(0.5)Verify before relying
- Whether stqdm works correctly with all Streamlit container types beyond main and sidebar.
- Performance characteristics when iterating over very large ranges or with rapid updates.
Package facts
| License | Apache License 2.0 permissive |
| Python support | Supports the current Python release >=3.11 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesstreamlittqdm |
| Maintenance | Actively maintained 61 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 255,008 / month, #8,486 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Software Development :: Libraries :: Python Modules |
Evidence: stqdm-0.2.1-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “streamlit progress bar”
- stqdmstqdm wraps tqdm progress bars for Streamlit apps, displaying…
- extra-streamlit-componentsProvides additional UI components for Streamlit applications,…
- enlightenEnlighten is a console progress bar library that displays progress…
Give your agent the search over MCP, or paste the wish link into any chat.
More Python Modules packages
Converts domain names between Unicode and ASCII-compatible encoding (Punycode) according to IDNA 2008 and Unicode Technical Standard 46, with security validation and broader script coverage than the standard library.
Install it if you work with internationalized domain names, need to validate domains, or use HTTP clients that depend on it transitively.
Setuptools is a Python build backend and package management tool that handles building, distributing, and installing Python packages, including support for C/C++ extension modules.
PyYAML parses and emits YAML 1.1 data format, enabling serialization and deserialization of configuration files and Python objects to and from human-readable YAML text.
Pydantic validates Python data structures against type hints, coercing and checking input at runtime to ensure it matches a declared schema.
Provides reusable metadata objects for use with PEP-593 `typing.Annotated` to express common constraints like bounds, collection sizes, and predicates on types.
Install it if you use or build libraries that need to express type constraints in a standardized, inspectable way—or if you want to annotate your own types with…
Provides runtime tools to inspect and introspect Python type annotations, enabling programmatic examination of type hints at execution time.
See also tqdm · tdqm · fastprogress · tqdm-joblib · tqdm-loggable · asyncsleepiq · tqdm-multiprocess · pqdm · parallelbar · audeer