515 Open source projects that are alternatives of or similar to dask-awkward

A library for managing, validating, summarizing, and visualizing data.

A Python package for manipulating 2-dimensional tabular data structures

得到每周一算法

A place to play programming

Distributed Xarray with Apache Beam

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

🚕 A spreadsheet-like data preparation web app that works over Optimus (Pandas, Dask, cuDF, Dask-cuDF, Spark and Vaex)

Turn any collection of objects into its own efficient tree or linked list using Symbol

My CS learning : algorithm, data structure, and system design | #SE

🌿 Data structures for JavaScript

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.

🚚 Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

LabPlot is a FREE, open source and cross-platform Data Visualization and Analysis software accessible to everyone.

구름EDU 10주완성 알고리즘 코딩테스트의 해설 답안집입니다

Scalable machine 🤖 learning for time series forecasting.

dask-pytorch-ddp is a Python package that makes it easy to train PyTorch models on dask clusters using distributed data parallel.

Radio Astronomy Algorithms Library

Mercury - data visualize and discovery with Javascript, such as apache zeppelin and jupyter

A concurrent collection that extends the existing Java concurrent collection library, offering an optionally-bounded blocking "multi-queue" based on linked nodes.

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

Trie (a.k.a. prefix tree) C# implementation. Has constant-time string prefix lookup.

data wrangling simplicity, complete audit transparency, and at speed

Competitive Coding

JS datastructure, like Map, but the keys are arrays

A generic patricia trie (also called radix tree) implemented in Go (Golang)

A python library for calculations perfomed in electronics engineering

Denormalize data normalized with normalizr

Python Bitcoin is widely used cryptocurrency for digital market. It is decentralised that means it is not own by government or any other company.Transactions are simple and easy as it doesn’t belong to any country.Records data are stored in Blockchain.Bitcoin price is variable and it is widely used so it is important to predict the price of it f…

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

Relational data pipelines for the science lab

A collection of Jupyter Notebooks used in conferences or just to have some snippets.

Self-practice in Data Structures & Algorithms

heidi : tidy data in Haskell

Small middleware stack library

A Python package develop for transportation spatio-temporal big data processing, analysis and visualization.

Python client for using Prefect Cloud with Saturn Cloud

Curso de Ciência da Computação

Reproducibility for Humans: A lightweight tool to perform reproducible machine learning experiment.

SpectroChemPy is a framework for processing, analyzing and modeling spectroscopic data for chemistry with Python

Distributed SQL Engine in Python using Dask

Notebooks and design assets related to my publication 'hacking-datascience' on Medium.

A Fortran octree implementation

🎛 Distributed machine learning made simple.

🌟 Competitive Programming Template Headers | With documentation, CI tests and Codecov

API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation

Time series implementation in Go

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

🪴 Nebari - your open source data science platform

The Frictionless Data website.

Notebooks that support blog posts and tech talks on Dask / Coiled.

The Human Neocortical Neurosolver (HNN) is a software tool that gives researchers/clinicians the ability to develop/test hypotheses on circuit mechanisms underlying EEG/MEG data.

⚡️ An efficient cache for the execution of dask graphs.

A flexible plotting and data analysis tool.

Implements a fixed-capacity stack-allocated Vec alternative backed by an array, using const generics.

A distributed block-based data storage and compute engine

Easy to use, header only, macro generated, generic and type-safe Data Structures in C

Repository for the projects needed to complete the Data Analyst Nanodegree.

金融市场与体育彩券市场 --- 数据分析与量化交易

ANTz immersive 3D data visualization engine

Multivariate data modelling with Copulas in Python