tqdm-joblib
Tracking progress of joblib.Parallel execution
Decision gist · record as of 2026-08-14
Yes, if you use joblib.Parallel and want simple progress visibility. Install friction is negligible and the dependency tree is minimal. However, the unclear license status (CC-BY-SA-4.0 is not a standard software license) and aging maintenance cycle (362 days since last release) warrant caution in commercial or mission-critical contexts. For research, prototyping, or internal tools, the trade-off is reasonable.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Low friction install with a single runtime dependency (tqdm).
- Maintenance is aging—last release was 362 days ago—but the repository remains active and the package supports current Python versions (3.10+).
License · maintenance · safety
CC-BY-SA-4.0 (unclear) — Licensed under CC-BY-SA-4.0, which is not a standard software license and its applicability to code distribution is unclear. Legal review may be warranted before using in commercial or proprietary projects.
last release 2025-08-17 (362 days) · last repo commit 2025-08-17 · 40 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 169,267 downloads/mo, #10,423 on PyPI
Alternatives
Verify before relying
pip install tqdm-joblib
from joblib import Parallel, delayed
from tqdm_joblib import tqdm_joblib
with tqdm_joblib(desc="Processing", total=10) as pbar:
Parallel(n_jobs=4)(delayed(lambda x: x**2)(i) for i in range(10))- Whether CC-BY-SA-4.0 is enforceable or recognized as a valid software license in your jurisdiction.
- Current maintenance status and whether the aging release cycle poses a risk for future Python version compatibility.
What it is and what it does
tqdm_joblib wraps joblib.Parallel to display a live progress bar as parallel jobs execute. It originated as a StackOverflow snippet and packages that solution for reuse, offering two interfaces: a context manager (tqdm_joblib) and a decorator-style callable (ParallelPbar). The package depends only on tqdm for rendering and joblib for parallelization.
It solves a common workflow problem: when running many parallel tasks with joblib, you have no built-in way to see how many have completed. This package bridges that gap by hooking into joblib's callback system and feeding completion events to tqdm's progress bar. It is most useful in data processing, scientific computing, or batch job scenarios where visibility into long-running parallel work is valuable.
Use it for
- Monitor progress of data preprocessing pipelines that use joblib.Parallel to process large datasets across multiple cores.
- Track completion of hyperparameter grid searches or other embarrassingly parallel scientific computations.
- Display real-time feedback in CLI tools that offload work to joblib without blocking the user's view of progress.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you use joblib.Parallel and want simple progress visibility.
Install friction is negligible and the dependency tree is minimal. However, the unclear license status (CC-BY-SA-4.0 is not a standard software license) and aging maintenance cycle (362 days since last release) warrant caution in commercial or mission-critical contexts. For research, prototyping, or internal tools, the trade-off is reasonable.
Install
tqdm-joblib on PyPI
Before you install
Low friction install with a single runtime dependency (tqdm). Maintenance is aging—last release was 362 days ago—but the repository remains active and the package supports current Python versions (3.10+).
Requires Python 3.10 or later.
License in practice
Licensed under CC-BY-SA-4.0, which is not a standard software license and its applicability to code distribution is unclear. Legal review may be warranted before using in commercial or proprietary projects.
Quickstart
pip install tqdm-joblib
from joblib import Parallel, delayed
from tqdm_joblib import tqdm_joblib
with tqdm_joblib(desc="Processing", total=10) as pbar:
Parallel(n_jobs=4)(delayed(lambda x: x**2)(i) for i in range(10))Verify before relying
- Whether CC-BY-SA-4.0 is enforceable or recognized as a valid software license in your jurisdiction.
- Current maintenance status and whether the aging release cycle poses a risk for future Python version compatibility.
Package facts
| License | CC-BY-SA-4.0 unclear |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagetqdm |
| Maintenance | Aging 362 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 169,267 / month, #10,423 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 :: DevelopersProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13 |
Evidence: tqdm_joblib-0.0.5-py3-none-any.whl
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See also p-tqdm · pqdm · parallelbar · stqdm · tqdm-multiprocess · tqdm · tqdm-loggable · acvl-utils · joblibspark · rollbar