ipypb

library0.5.2pypypiunverified

Interactive ProgressBar natively built with IPython (0.5.2). Displays progress bars in Jupyter notebooks with support for nested loops and custom messages. Low release cadence; last stable release in 2018.

observability

pip install ipypb

package ↗

INSTALL

IMPORT

SIG · IPYPB

ipypb

observabilitypythonv0.5.2

Install

1.6s avg

Import

—

Disk

16MB

Pass rate

10/ 10

Env Coverage10 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v0.5.2 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.95 runs

installs and imports cleanly · install 0.0s · import 0.000s · 17.8MB

glibc

py 3.10–3.95 runs

installs and imports cleanly · install 1.6s · import 0.000s · 18MB

16MB installed

● package 16MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

ProgressBar

✓ from ipypb import ProgressBar

✗ from ipypb import ProgressBar

Basic usage in a Jupyter notebook cell.

import ipypb import time for i in ipypb.track(range(100)): time.sleep(0.01)

Debug

Known issues

gotchaipypb.track() must be called inside a Jupyter notebook; it will not display progress in a plain terminal or script.

fix

Use tqdm for terminal progress bars.

affects: all

deprecatedThis library is no longer actively maintained. Consider using tqdm with notebook support (tqdm.notebook) for similar functionality.

fix

Switch to tqdm: from tqdm.notebook import trange

affects: >=0.5.0

gotchaNested progress bars may cause display glitches in older IPython versions ( < 7 ).

fix

Upgrade IPython to 7+ or flatten loops.

affects: <0.5.0

Upgrade

Version history

0.5.2latest on PyPI · released Feb 7, 2019

Audit

Dependencies

ipythonrequiredRequired for interactive widgets in Jupyter

Agent activity

24 hits · last 30 days

node

OpenAI (training)

Resources

packagehttps://pypi.org/project/ipypb/ ↗