1084 Open source projects that are alternatives of or similar to Qframe

Java dataframe and visualization library

A javascript library providing a new data structure for datascientists and developpers

A library that wraps pandas and openpyxl and allows easy styling of dataframes in excel

Easy pipelines for pandas DataFrames.

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

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

Ways of doing Data Science Engineering and Machine Learning in R and Python

A Clojure dataframe library that runs on Spark

Statistical Machine Intelligence & Learning Engine

Advanced Pandas Vault — Utilities, Functions and Snippets (by @firmai).

AsyncIO serving for data science models

danfo.js is an open source, JavaScript library providing high performance, intuitive, and easy to use data structures for manipulating and processing structured data.

Immutable and grow-only Pandas-like DataFrames with a more explicit and consistent interface.

Koalas: pandas API on Apache Spark

In-memory Java DataFrame library

Daany - .NET DAta ANalYtics .NET library with the implementation of DataFrame, Time series decompositions and Linear Algebra routines BLASS and LAPACK.

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

Fill missing values in Pandas DataFrames using Restricted Boltzmann Machines

Go data analysis / manipulation library built on top of Apache Arrow

DataFrame Library for Java

Dataset format for AI. Build, manage, & visualize datasets for deep learning. Stream data real-time to PyTorch/TensorFlow & version-control it. https://activeloop.ai

Cryptocurrency Price Prediction Using LSTM neural network

🇨🇭Switzerland takes a functional approach to Web Components by applying middleware to your components. Supports Redux, attribute mutations, CSS variables, React-esque setState/state, etc… out-of-the-box, along with Shadow DOM for style encapsulation and Custom Elements for interoperability.

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

Distributed scikit-learn meta-estimators in PySpark

Immutable and structurally typed data

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

Encoding methods for dirty categorical variables

Universal Reddit Scraper - A comprehensive Reddit scraping command-line tool written in Python.

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

A Rust DataFrame implementation, built on Apache Arrow

Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

An Open Source, Self-Hosted Platform For Applied Deep Learning Development

The Go kernel for Jupyter notebooks and nteract.

A Code-First Introduction to NLP course

A fork of frozendict, an immutable wrapper around dictionaries for Python3

Repository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.

data⎰describe: Pythonic EDA Accelerator for Data Science

The code in this repo is intended for people who want to get started building universal flux applications, with modern and exciting technologies such as Reactjs, React Router and es6.

Verifiably better, validated Enum for Python

Human-explainable AI.

⚡ A high-level, declarative, composable form of Redux https://bowheart.github.io/zedux/

🌵 Finger tree data structure for JavaScript

这是BDCI2018的联通赛题第一名解决方案

Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data

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.

R for data science: a book

React boilerplate based on create-react-app

Fastest library to load data from DB to DataFrames in Rust and Python

Shōgun

💫 PSR #7 [HTTP Message Interface] to Nette Framework (@nette)

😋 Free decentralized storage and bandwidth for NFTs on IPFS and Filecoin.

An open source, hands-on and fully reproducible book in quantitative finance, data science and econophysics. Join us and help Make Wall Street Great Again!

Metaprogramming tools for DataFrames

Immutable/Constant Objects for JavaScript

Deep immutable, Lightweight Enumerable with superpowers

OS where everything is immutable! (Experimental)