1683 Open source projects that are alternatives of or similar to Seaborn

Achieve your marketing goals with the data analytics power of Python

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

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Visualizer for pandas data structures

Visualize and compare datasets, target values and associations, with one line of code.

edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab

Open Machine Learning Course

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

Simple plotting library that wraps Matplotlib and integrated with DataFrames

This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.

General Assembly's 2015 Data Science course in Washington, DC

Association Rule Mining from Spatial Data for Crime Analysis

🍊 📊 💡 Orange: Interactive data analysis

Analyze Data with Pandas-based Networks. Documentation:

Powerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

Build a data visualization dashboard with simple snippets of python code

Data exploration glue

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

A comprehensive Data and Text Mining workflow for submissions and comments from any given public subreddit.

Quiz & Assignment of Coursera

Companion code for the book "Mastering Social Media Mining with Python"

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Text Mining on the 2019 Mexican Government Report, covering from extracting text from a PDF file to plotting the results.

DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

Teaching Materials for Dr. Waleed A. Yousef

Pynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, chaos, and fractals.

Data Science Best Practices with pandas

VerticaPy is a Python library that exposes sci-kit like functionality to conduct data science projects on data stored in Vertica, thus taking advantage Vertica’s speed and built-in analytics and machine learning capabilities.

PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)

Analyze facebook copy of your data with ruby language. Download zip file from facebook and get info about friends ranking by message, vocabulary, contacts, friends added statistics and more

R Weekly

Data ETL & Analysis on the dataset 'Baby Names from Social Security Card Applications - National Data'.

Practical Data Science with Ruby based tools.

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

OpenRefine is a free, open source power tool for working with messy data and improving it

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

Easy pipelines for pandas DataFrames.

An ongoing list of pandas quirks

English and European soccer results 1871-2020

Reusable JavaScript library for creating sketchy/hand-drawn styled charts in the browser.

Probably the best curated list of data science software in Python.

🧇 Make Waffle Charts in Python.

An open-source plotting library for statistical data.

Read data from, write data to, and modify the formatting of Google Sheets

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types, continuous memory storage, and no pointers are involved

Code for the paper "BIOLITMAP: a web-based geolocated and temporal visualization of the evolution of bioinformatics publications" in Oxford Bioinformatics.

model-describer : Making machine learning interpretable to humans

Introduction to pandas Treehouse course

AsyncIO serving for data science models

Fill missing values in Pandas DataFrames using Restricted Boltzmann Machines

Javascript full-stack framework for Big Data visualisation and analysis

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

Create HTML profiling reports from pandas DataFrame objects