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  5. IPython vs jupyterlab

IPython vs jupyterlab

OverviewComparisonAlternatives

Overview

IPython
IPython
Stacks832
Followers111
Votes4
jupyterlab
jupyterlab
Stacks192
Followers38
Votes0
GitHub Stars13.4K
Forks2.9K

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Detailed Comparison

IPython
IPython
jupyterlab
jupyterlab

It provides a rich architecture for interactive computing with a powerful interactive shell, a kernel for Jupyter. It has a support for interactive data visualization and use of GUI toolkits. Flexible, embeddable interpreters to load into your own projects. Easy to use, high performance tools for parallel computing.

The JupyterLab notebook server extension.

Interactive; Magic; embeddable interpreters; parallel computing
-
Statistics
GitHub Stars
-
GitHub Stars
13.4K
GitHub Forks
-
GitHub Forks
2.9K
Stacks
832
Stacks
192
Followers
111
Followers
38
Votes
4
Votes
0
Pros & Cons
Pros
  • 1
    Interactive exploration then save to a script
  • 1
    Persistent history between sessions
  • 1
    It's magical are just that
  • 1
    Help in a keystroke
No community feedback yet
Integrations
Python
Python
PyCharm
PyCharm
Apache Spark
Apache Spark
No integrations available

What are some alternatives to IPython, jupyterlab?

GNU Bash

GNU Bash

The Bourne Again SHell is an sh-compatible shell that incorporates useful features from the Korn shell (ksh) and C shell (csh). It is intended to conform to the IEEE POSIX P1003.2/ISO 9945.2 Shell and Tools standard.

google

google

Python bindings to the Google search engine.

Shell

Shell

A shell is a text-based terminal, used for manipulating programs and files. Shell scripts typically manage program execution.

PowerShell

PowerShell

A command-line shell and scripting language built on .NET. Helps system administrators and power-users rapidly automate tasks that manage operating systems (Linux, macOS, and Windows) and processes.

requests

requests

Python HTTP for Humans.

pytest

pytest

Pytest: simple powerful testing with Python.

boto3

boto3

The AWS SDK for Python.

pandas

pandas

Powerful data structures for data analysis, time series, and statistics.

numpy

numpy

NumPy is the fundamental package for array computing with Python.

six

six

Python 2 and 3 compatibility utilities.

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