fastprogress
A nested progress with plotting options for fastai
Decision gist · record as of 2026-08-14
Yes. Active maintenance, no known vulnerabilities, permissive license, and low install friction make it a safe choice. Install if you need nested progress tracking with optional live plotting in Jupyter or console environments, especially for training loops or multi-level iterations.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Low friction: pure Python wheel with only two runtime dependencies (fastcore and python-fasthtml).
- Active maintenance with recent releases; last commit 2026-08-06.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows use in commercial and private projects with minimal restrictions.
last release 2026-05-10 (96 days) · last repo commit 2026-08-06 · 1,098 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,615,692 downloads/mo, #3,716 on PyPI
Alternatives
Verify before relying
pip install fastprogress
from fastprogress.fastprogress import master_bar
from time import sleep
for i in (mb := master_bar(range(10))):
for j in mb.progress(range(100)):
sleep(0.01)
mb.write(f'Finished loop {i}.')- Whether plotting features work outside Jupyter (e.g., in headless environments or pure console).
- Performance characteristics with very large iteration counts or frequent graph updates.
What it is and what it does
fastprogress wraps iterators to display real-time progress bars in Jupyter notebooks and console environments. It supports nested progress tracking (parent and child bars), live comments on each bar, and optional matplotlib-based graph plotting that updates as your loop runs. The package is commonly used in machine learning training loops to visualize epoch progress, loss curves, and validation metrics simultaneously.
The library depends on fastcore and python-fasthtml for its core functionality. It targets Python 3.10+ and is designed to be lightweight and easy to integrate into existing loops with minimal code changes. Output can be written to files when the script is redirected, preserving only the `.write()` method output.
Use it for
- Track multi-level training loops with separate progress bars for epochs and batches while plotting loss curves live.
- Monitor long-running data processing pipelines in Jupyter notebooks with nested progress and status comments.
- Display console progress for batch jobs with optional graph visualization of metrics over time.
- Provide real-time feedback during hyperparameter sweeps or grid searches with nested iteration tracking.
- Log training progress to files while showing interactive progress in Jupyter during development.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Active maintenance, no known vulnerabilities, permissive license, and low install friction make it a safe choice. Install if you need nested progress tracking with optional live plotting in Jupyter or console environments, especially for training loops or multi-level iterations.
Install
fastprogress on PyPI
Before you install
Low friction: pure Python wheel with only two runtime dependencies (fastcore and python-fasthtml). Active maintenance with recent releases; last commit 2026-08-06.
Requires Python 3.10 or later.
License in practice
Apache-2.0 permissive license allows use in commercial and private projects with minimal restrictions.
Quickstart
pip install fastprogress
from fastprogress.fastprogress import master_bar
from time import sleep
for i in (mb := master_bar(range(10))):
for j in mb.progress(range(100)):
sleep(0.01)
mb.write(f'Finished loop {i}.')Verify before relying
- Whether plotting features work outside Jupyter (e.g., in headless environments or pure console).
- Performance characteristics with very large iteration counts or frequent graph updates.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesfastcorepython-fasthtml |
| Maintenance | Actively maintained 96 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,615,692 / month, #3,716 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 :: DevelopersNatural Language :: EnglishProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: Only |
Evidence: fastprogress-1.1.6-py3-none-any.whl
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See also progressbar2 · progress · stqdm · progressbar33 · matplotlib-inline · proglog · tqdm-joblib · ipywidgets