Seaborn Alternatives

Explore popular alternatives of Seaborn at one place, all suggested and ranked by the CybrHome user community.

Seaborn Alternatives in Data Science (python packages)

Sourceforge Statsmodels ↗

Statsmodels¶ Statsmodels is a Python module that allows users to explore data, estimate statistical models, and perform statistical tests.

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Tensor Flow ↗

An open-source software library for Machine Intelligence

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Scikit Learn ↗

scikit-learn. Machine Learning in Python.

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MatplotLib ↗

2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms.

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Scrapy ↗

import scrapy class BlogSpider(scrapy.Spider): name = 'blogspider' start_urls = ['http://blog.scrapinghub.

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NLTK ↗

Natural Language Toolkit¶ NLTK is a leading platform for building Python programs to work with human language data.

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Numpy ↗

NumPy is the fundamental package for scientific computing with Python.

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Networkx ↗

NetworkX (NX) is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.

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Pybrain ↗

Welcome to PyBrain. PyBrain is a modular Machine Learning Library for Python.

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Pytables ↗

Welcome to PyTables’ documentation!¶ PyTables is a package for managing hierarchical datasets and designed to efficiently and easily cope with extremely large .

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Shogun Toolbox ↗

Unified and efficient Machine Learning Since 1999, Shogun is for: practitioners: wide range of standard and cutting-edge algorithms

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Pydata Bokeh ↗

Bokeh visualization library, documentation site.

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SymPy Gamma ↗

SymPy is a Python library for symbolic mathematics.

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Pandas ↗

pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming langua

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mlpy - Machine Learning Python ↗

mlpy is a Python module for Machine Learning built on top of NumPy/SciPy and the GNU Scientific Libraries.

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Similar Websites

Sourceforge Statsmodels ↗

Statsmodels¶ Statsmodels is a Python module that allows users to explore data, estimate statistical models, and perform statistical tests.

See Sourceforge Statsmodels Alternatives

Tensor Flow ↗

An open-source software library for Machine Intelligence

See Tensor Flow Alternatives

Scikit Learn ↗

scikit-learn. Machine Learning in Python.

See Scikit Learn Alternatives

MatplotLib ↗

2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms.

See MatplotLib Alternatives

Scrapy ↗

import scrapy class BlogSpider(scrapy.Spider): name = 'blogspider' start_urls = ['http://blog.scrapinghub.

See Scrapy Alternatives

NLTK ↗

Natural Language Toolkit¶ NLTK is a leading platform for building Python programs to work with human language data.

See NLTK Alternatives

Numpy ↗

NumPy is the fundamental package for scientific computing with Python.

See Numpy Alternatives

Networkx ↗

NetworkX (NX) is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.

See Networkx Alternatives

Khan Academy ↗

Offers over 2400 free videos from arithmetic to physics, and finance.

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Pianu ↗

Learn to play the piano in your browser.

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WATCH5S ↗

WATCH5S.TO is the best movie site, where you can watch movies online completely free. No download, no surveys and only instant streaming of movies.

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This Is Why I'm Broke ↗

Find the best stuff at the lowest prices by browsing Amazon's incredible daily deals!

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TripAdvisor ↗

World's Largest Travel Site. 200 million+ unbiased traveler reviews. Search 200+ sites to find the best hotel prices.

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500px ↗

A photography community for you. 500px is a community focused on helping photographers expand their network, improve their skills, and make money.

See 500px Alternatives

Seaborn Alternatives

Explore popular alternatives of Seaborn at one place, all suggested and ranked by the CybrHome user community.

Seaborn Alternatives in Data Science (python packages)

Similar Websites

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