398 Open source projects that are alternatives of or similar to Pandas_flavor

Statistical package in Python based on Pandas

These are the projects I did on my Udacity Deep Learning Nanodegree 🌟 💻 💻. 💥 🌈

A panda parkour game, based on Cocos2d-js, running on Android / iOS

Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.

Intel® Scalable Dataframe Compiler for Pandas*

Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.

PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

A Grammar of Data Manipulation in python

Python library for using dplyr like syntax with pandas and SQL

Treasure Data Driver for Python

Here you can find all the quantitative finance algorithms that I've worked on and refined over the past year!

Short programming tutorials pertaining to data analysis.

Easy pipelines for pandas DataFrames.

What's in your data? Extract schema, statistics and entities from datasets

A directory listing of all my pandas canonicals on Stack Overflow to date.

In-memory Graph Database and Knowledge Graph with Natural Language Interface, compatible with Pandas

Python SDK for IEX Cloud

Universal 1d/2d data containers with Transformers functionality for data analysis.

Python Cheat Sheet NumPy, Matplotlib

A visual data pipeline builder with various backends

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

인프런 - 단 두 장의 문서로 데이터 분석과 시각화 뽀개기

Graph-Based Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, RDFlib, pySHACL, RAPIDS, NetworkX, iGraph, PyVis, pslpython, pyarrow, etc.

This library was developed for economic analysis in the Brazilian scenario (Investments, micro and macroeconomic indicators)

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

An introductory workshop on pandas with notebooks and exercises for following along.

Extract data from a wide range of Internet sources into a pandas DataFrame.

💬📊 Fun data visualizations for Facebook Messenger chats

A light-weight, flexible, and expressive pandas data validation library

Notes and tutorials on how to use python, pandas, seaborn, numpy, matplotlib, scipy for data science.

《python数据分析与挖掘实战》项目实践及拓展

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

【运筹OR帷幄|数据科学】pandas教程系列电子书

DatScan is an initiative to build an open-source CMS that will have the capability to solve any problem using data Analysis just with the help of various modules and a vast standardized module library

JavaScript data transformation and analysis toolkit inspired by Pandas and LINQ.

Learning materials to get started with Python using Pandas, a library to manipulate Data.

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

Engezny is a python package that quickly generates all possible charts from your dataframe and saves them for you, and engezny is only supporting now uni-parameter visualization using the pie, bar and barh visualizations.

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

Data ETL & Analysis on the global and Mexican datasets of the COVID-19 pandemic.

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

data wrangling simplicity, complete audit transparency, and at speed

PandasGUI is a GUI for viewing, plotting and analyzing Pandas DataFrames.

A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.

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.

Simple stock price analytics

Credit Risk analysis by using Python and ML

Example notebooks illustrating MovingPandas use cases

利用Python进行数据分析 第二版 (2017) 中文翻译笔记

A Los Angeles Times analysis of Every shot in Kobe Bryant's NBA career

A validation library for Pandas data frames using user-friendly schemas

Directions overlay for working with pandas in an analysis environment

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

📖 每一个伟大的思想和行动都有一个微不足道的开始

The Los Angeles Times' independent tally of coronavirus cases in California.

Functionalities in Excel translated to Python

Pipeline Extension for Live Trading

A pandas-like deferred expression system, with first-class SQL support

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

track your GitHub statistics with Pandas