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  4. Pypi Packages
  5. fastapi vs jupyterlab

fastapi vs jupyterlab

OverviewComparisonAlternatives

Overview

jupyterlab
jupyterlab
Stacks192
Followers38
Votes0
GitHub Stars13.4K
Forks2.9K
fastapi
fastapi
Stacks747
Followers145
Votes0
GitHub Stars65.2K
Forks5.5K

fastapi vs jupyterlab: What are the differences?

Developers describe fastapi as "FastAPI framework". FastAPI framework, high performance, easy to learn, fast to code, ready for production. On the other hand, jupyterlab is detailed as "The JupyterLab notebook server extension". The JupyterLab notebook server extension.

fastapi and jupyterlab can be primarily classified as "PyPI Packages" tools.

fastapi and jupyterlab are both open source tools. It seems that fastapi with 27.3K GitHub stars and 1.84K forks on GitHub has more adoption than jupyterlab with 10.8K GitHub stars and 1.91K GitHub forks.

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Detailed Comparison

jupyterlab
jupyterlab
fastapi
fastapi

The JupyterLab notebook server extension.

FastAPI framework, high performance, easy to learn, fast to code, ready for production.

Statistics
GitHub Stars
13.4K
GitHub Stars
65.2K
GitHub Forks
2.9K
GitHub Forks
5.5K
Stacks
192
Stacks
747
Followers
38
Followers
145
Votes
0
Votes
0

What are some alternatives to jupyterlab, fastapi?

google

google

Python bindings to the Google search engine.

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.

urllib3

urllib3

HTTP library with thread-safe connection pooling, file post, and more.

python-dateutil

python-dateutil

Extensions to the standard Python datetime module.

flake8

flake8

The modular source code checker: pep8, pyflakes and co.

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