tqdm
PyPIv4.70.0Fast, Extensible Progress Meter
Safe to adopt
Yes — tqdm scores well across adoption, maintenance, weight, supply chain, and licensing. No download data reported for this package yet. Last published 44 days ago. 13 releases in the last 2 years.
- ?Adoption: grade ?, Not reported by this registry.
No download data reported for this package yet.
- AMaintenance: grade A, Excellent.
Last published 44 days ago. 13 releases in the last 2 years.
- AWeight: grade A, Excellent.
Pulls in 1 transitive package, about 103 KB installed.
- BSupply chain: grade B, Good.
This package lists no maintainer.
- ALicense: grade A, Excellent.
MPL-2.0 AND MIT — permissive, with no copyleft found in the dependency tree.
Grades are computed deterministically from registry metadata collected by PackageGraph — downloads, dependents, publish dates, the resolved dependency tree, maintainer count, and declared licenses. No third-party scores are used.
Install cost
What you actually take on by adding tqdm to a project.
Runtime packages this one declares itself.
Distinct packages in the full runtime tree, deduplicated the way a package manager would.
Unpacked size of this package plus its entire runtime tree.
Longest resolved dependency chain below this package.
Compatibility
- Python
- python >=3.8
Quick start
A usage example from the tqdm README.
Wrap ``tqdm()`` around any iterable:
.. code:: python
from tqdm import tqdm
from time import sleep
text = ""
for char in tqdm(["a", "b", "c", "d"]):
sleep(0.25)
text = text + char
``trange(i)`` is a special optimised instance of ``tqdm(range(i))``:
tqdm vs the alternatives
Packages solving a similar problem in the pypi ecosystem, compared on the signals that drive an adoption decision.
Dependencies
Declared by tqdm v4.70.0. Runtime dependencies are installed with the package; dev dependencies are not.
Runtime (1)
Used by
Popular packages that depend on tqdm.
Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Client library to download and publish models, datasets and other repos on the huggingface.co hub
Relationship graph
Dependencies (left) and dependents (right) of tqdm.
Frequently installed together
Core utilities for Python packages
Composable command line interface toolkit
Backported and Experimental Type Hints for Python 3.9+
File-system specification
Fast transfer of large files with the Hugging Face Hub.
The next generation HTTP client.
A platform independent file lock.
Alternative regular expression module, to replace re.
Client library to download and publish models, datasets and other repos on the huggingface.co hub
Fundamental package for array computing in Python
No description provided.
Typer, build great CLIs. Easy to code. Based on Python type hints.
Release history
10 releases in the last two years, typically about 9 days apart.
| Version | Published | Size | License |
|---|---|---|---|
| 4.70.0latest | 1 month ago | 78 KB | MPL-2.0 AND MIT |
| 4.69.1 | 1 month ago | 660 KB | MPL-2.0 AND MIT |
| 4.69.0 | 1 month ago | 661 KB | MPL-2.0 AND MIT |
| 4.68.4 | 2 months ago | 661 KB | MPL-2.0 AND MIT |
| 4.68.3 | 2 months ago | 77 KB | MPL-2.0 AND MIT |
| 4.68.2 | 3 months ago | 77 KB | MPL-2.0 AND MIT |
| 4.68.1 | 3 months ago | 77 KB | MPL-2.0 AND MIT |
| 4.68.0 | 3 months ago | 76 KB | MPL-2.0 AND MIT |
| 4.67.3 | 7 months ago | 77 KB | MPL-2.0 AND MIT |
| 4.67.2 | 7 months ago | 77 KB | MPL-2.0 AND MIT |
| 4.67.1 | 1 year ago | 77 KB | MPL-2.0 AND MIT |
| 4.67.0 | 1 year ago | 77 KB | MPL-2.0 AND MIT |
| 4.66.6 | 1 year ago | 76 KB | MPL-2.0 AND MIT |
| 4.66.5 | 2 years ago | 77 KB | MPL-2.0 AND MIT |
| 4.66.4 | 2 years ago | 76 KB | MPL-2.0 AND MIT |
Overview
tqdm is an PyPI package that fast, Extensible Progress Meter. It has 2 known dependents in the graph. The latest version is 4.70.0, released under the MPL-2.0 AND MIT license.
Who should use it
Teams working in the PyPI ecosystem who need fast, Extensible Progress Meter and value a focused solution.
When not to use it
Consider an alternative if you need to or if a more actively-maintained option better fits your PyPI stack.
Pros
- Clear open-source license (MPL-2.0 AND MIT).
- Lean dependency tree (1 direct dependencies).
Cons
- No significant drawbacks detected from available metadata.
Auto-generated from collected registry metadata. No external claims are inferred.
Frequently asked questions
Should I use tqdm?
Yes — tqdm scores well across adoption, maintenance, weight, supply chain, and licensing. No download data reported for this package yet. Last published 44 days ago. 13 releases in the last 2 years.
How do I install tqdm?
Run `pip install tqdm` to add tqdm to your PyPI project.
How many dependencies does tqdm have?
tqdm declares 1 direct dependency and pulls in 1 packages in total once its runtime tree is resolved totalling about 103 KB on disk.
What license is tqdm released under?
tqdm is distributed under the MPL-2.0 AND MIT license.
How popular is tqdm?
PyPI does not publish download counts. Within PackageGraph's crawl, 2 known packages depend on tqdm.
Is tqdm still maintained?
The most recent release of tqdm (v4.70.0) was published 1 month ago.