linearregression,edwardttril,github

data-pipeline

Data pipeline is a tool to run Data loading pipelines. It is an open sourced app engine app that users can extend to suit their own needs. Out of the box it will load files from a source, transform them and then output them (output might be writing to a file or loading them into a data analysis tool). It is designed to be modular and support various sources, transformation technologies and output types. The transformations can be chained together to form complex pipelines.

data-science-course

Data Science Course Materials - Fall 2014

data-scientist-mooc

Coursera class in data science using R

data-structure-cards

A card-based approach to data structures

data.cube

OLAP cubes R data type

data.table

R's data.table package extends data.frame. More info:

data_collect

Python script to collect social data from various channels, store that to Apache Spark for further processing.

data_hacks

Command line utilities for data analysis

data_platform_core

Basho Data Platform Core

data_structure_explorer

A web-based pedagogical tool for exploring data structures.

databus

Source-agnostic distributed change data capture system

datacache

Helpers for transparently downloading datasets

datacube

Multidimensional data storage with rollups for numerical data

datadr

Divide and Recombine

dataflowjavasdk

Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines.

dataflowpythonsdk

Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines.

dataframe

Go package for working with Vaultaire dataframes

datafsm

Estimating Finite State Machine Models from Data

datahub

An experimental hosted platform (GitHub-like) for organizing, managing, sharing, collaborating, and making sense of data.

datakit

Connect processes into powerful data pipelines with a simple git-like filesystem interface

dataloader

DataLoader is a generic utility to be used as part of your application's data fetching layer to provide a consistent API over various backends and reduce requests to those backends via batching and caching.