aficionado

upordown. Predicting whether a stock will go up or down using BigML and data from Quandl and PsychSignal

boto. Python interface to Amazon Web Services

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers. aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming in data analysis with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

haproxy-autoscale. A wrapper for haproxy that handles auto-scaling EC2 instances.

pixeltable. This replicates images in pure HTML by creating tables of pixel-sized cells.

slumber. A library that makes consuming a RESTful API easier and more convenient

flatline. Documentation, examples and utilities for Flatlline, BigML's dataset transformation and generation language

Haxl. A Haskell library for efficient, concurrent, concise data access.

big_ml. A Ruby wrapper for the BigML REST API

python. Simple Python bindings for BigML.io

pygments-json. Better JSON highlighting for pygments

json-pml. Schemas for JSON PML

t. A command-line power tool for Twitter.

nextactivity. Predicting Sean's next activity

storm-deploy. One click deploy for Storm clusters on AWS

jubatus. Framework and Library for Distributed Online Machine Learning

scikit-learn. scikit-learn: machine learning in Python

pythonpy. python -c, with tab completion and shorthand

aficionado.github.com. github aficionado

jsonpml2dot. Generates a DOT file using a BigML json pml model as input

bigml-php-1. BigML.io Php Bindings

jQuery-File-Upload. Multiple File Upload widget with Drag&Drop support for jQuery

storm. Distributed and fault-tolerant realtime computation: stream processing, continuous computation, distributed RPC, and more

hellogitworld. Hello Gitters!

storm-starter. Learn to use Storm!

storm-kestrel. Library to use Kestrel as a spout within Storm

bolacha. Bolacha is a simple http client for python, built on top of httplib2, but automatically handles cookies and upload.