tqdm
Fast, Extensible Progress Meter
Decision gist · record as of 2026-08-14
Yes. tqdm is a mature, widely-adopted library with negligible install friction, no known vulnerabilities, active maintenance, and a single lightweight dependency. It solves a common problem—visualizing loop progress—with minimal code changes and near-zero performance cost. The dual MPL-2.0/MIT license is permissive for most use cases. Install it unless you have a specific reason to avoid copyleft licensing.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Installs with minimal friction—a pure-Python package with only colorama as a runtime dependency.
- Active maintenance with a release 18 days ago and 31278 repository stars.
License · maintenance · safety
MPL-2.0 AND MIT (copyleft) — Dual-licensed under MPL-2.0 and MIT (copyleft treatment). MPL-2.0 requires source disclosure for modifications to the library itself, but does not restrict your application code.
last release 2026-07-27 (18 days) · last repo commit 2026-08-10 · 31,278 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 648,606,617 downloads/mo, #48 on PyPI
Alternatives
Verify before relying
pip install tqdm
from tqdm import tqdm
for i in tqdm(range(10000)):
pass # your work here- Whether colorama is automatically installed on Windows or must be manually configured for nested progress bars to display correctly.
What it is and what it does
tqdm is a lightweight progress-bar library that wraps any iterable and displays real-time feedback on iteration speed, completion percentage, and estimated time remaining. It works by inserting a single function call—tqdm(iterable)—between your loop and its data source, with negligible overhead (about 60ns per iteration). The library supports three main usage patterns: wrapping iterables directly, manual control via context managers or explicit update() calls, and command-line piping for monitoring shell commands and file operations.
The package is designed for universal compatibility: it runs on Linux, Windows, macOS, FreeBSD, NetBSD, and Solaris; works in plain terminals, IPython, and Jupyter notebooks; and requires only Python and basic terminal control characters (carriage return and line feed). It has one runtime dependency, colorama, which is needed on Windows for nested progress bars. The library is production-stable, actively maintained, and ranks in the top 100 PyPI packages by download volume.
Use it for
- Monitor long-running for-loops or list comprehensions to see iteration speed and remaining time without manual logging.
- Pipe tqdm between shell commands to display progress on file operations like tar, compression, or data processing pipelines.
- Track progress in Jupyter notebooks or IPython sessions with a visual bar that updates in-place without cluttering output.
- Manually control progress updates in tasks where iteration count is unknown upfront, using tqdm(total=N) and pbar.update().
- Nest multiple progress bars for hierarchical operations (e.g., outer loop over files, inner loop over records) with automatic line management.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
tqdm is a mature, widely-adopted library with negligible install friction, no known vulnerabilities, active maintenance, and a single lightweight dependency. It solves a common problem—visualizing loop progress—with minimal code changes and near-zero performance cost. The dual MPL-2.0/MIT license is permissive for most use cases. Install it unless you have a specific reason to avoid copyleft licensing.
Install
tqdm on PyPI
Before you install
Installs with minimal friction—a pure-Python package with only colorama as a runtime dependency. Active maintenance with a release 18 days ago and 31278 repository stars.
License in practice
Dual-licensed under MPL-2.0 and MIT (copyleft treatment). MPL-2.0 requires source disclosure for modifications to the library itself, but does not restrict your application code.
Quickstart
pip install tqdm
from tqdm import tqdm
for i in tqdm(range(10000)):
pass # your work here
Verify before relying
- Whether colorama is automatically installed on Windows or must be manually configured for nested progress bars to display correctly.
Package facts
| License | MPL-2.0 AND MIT copyleft |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagecolorama |
| Maintenance | Actively maintained 18 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 648,606,617 / month, #48 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableEnvironment :: ConsoleEnvironment :: MacOS XEnvironment :: Other EnvironmentEnvironment :: Win32 (MS Windows)Environment :: X11 ApplicationsFramework :: IPythonFramework :: JupyterIntended Audience :: DevelopersIntended Audience :: EducationIntended Audience :: End Users/DesktopIntended Audience :: Other AudienceIntended Audience :: System AdministratorsOperating System :: MacOSOperating System :: MacOS :: MacOS XOperating System :: MicrosoftOperating System :: Microsoft :: MS-DOSOperating System :: Microsoft :: WindowsOperating System :: POSIXOperating System :: POSIX :: BSDOperating System :: POSIX :: BSD :: FreeBSDOperating System :: POSIX :: LinuxOperating System :: POSIX :: SunOS/SolarisOperating System :: UnixProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Programming Language :: Python :: ImplementationProgramming Language :: Python :: Implementation :: IronPythonProgramming Language :: Python :: Implementation :: PyPyProgramming Language :: Unix ShellTopic :: Desktop EnvironmentTopic :: Education :: Computer Aided Instruction (CAI)Topic :: Education :: TestingTopic :: Office/BusinessTopic :: Other/Nonlisted TopicTopic :: Software Development :: Build ToolsTopic :: Software Development :: LibrariesTopic :: Software Development :: Libraries :: Python ModulesTopic :: Software Development :: Pre-processorsTopic :: Software Development :: User InterfacesTopic :: System :: Installation/SetupTopic :: System :: LoggingTopic :: System :: MonitoringTopic :: System :: ShellsTopic :: TerminalsTopic :: Utilities |
Evidence: tqdm-4.70.0-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 › “iterable progress tracking”
- tqdmWraps any iterable to display a real-time progress bar in the…
- pqdmpqdm wraps tqdm and concurrent.futures to parallelize iteration over…
- stqdmstqdm wraps tqdm progress bars for Streamlit apps, displaying…
Give your agent the search over MCP, or paste the wish link into any chat.
More Libraries packages
urllib3 is an HTTP client library that provides thread-safe connection pooling, SSL/TLS verification, multipart file uploads, request retries, compression support, and proxy handling for Python applications.
Requests is a Python HTTP library that simplifies sending HTTP/1.1 requests with automatic handling of headers, authentication, cookies, and response parsing.
Pluggy provides a plugin system that lets you define hook specifications and register implementations to be called in sequence, enabling extensible Python applications without tight coupling.
Install it if you're building an extensible application or framework.
Provides parsing, arithmetic, and recurrence rule computation for dates and times, with timezone support and iCalendar RFC compliance.
Install it if you need to parse flexible date strings, compute relative dates, handle timezones, or work with recurrence rules—it's the de facto choice for these tasks.
Six provides utility functions to write Python code that runs on both Python 2.7 and Python 3.3+, smoothing over language differences between the two versions.
pytest is a testing framework that lets you write test functions using plain assert statements and automatically discovers and runs them, with detailed failure reporting.
See also stqdm · tdqm · tqdm-loggable · p-tqdm · tqdm-multiprocess · tqdm-joblib · pqdm · progressbar2 · progress · sparklines