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A Techie Tech Blog on Master Data Management And Every Buzz Surrounding It.

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media.

Simple plotting for Python. Wrapper for D3xterjs; easily render charts in-browser.

Markov Chain Monte Carlo sampling toolkit.

A pure-python graphics and GUI library built on PyQt4 / PySide and NumPy.

Tm and are the main packages for managing, analyzing, and visualizing textual data.

A python framework to transform natural language questions to queries in a database query language.

A self-organizing data hub with S3 support.

Open source GPU accelerated data science libraries.

Ratings Graph — Rating Graph is an online visualization tool which generates fancy graphs about TV shows and Movies based on 1503 million user ratings.

Julia package for loading many of the data sets available in R.

A javascript library containing a collection of least squares fitting methods for finding a trend in a set of data.

Explore and compare open source Ruby libraries.

Analyzes structured data and helps produce queries, insights or visualizations.

Basic sampling algorithms for Julia.

Analyzes structured data and helps produce queries, insights or visualizations.

Analyzes structured data and helps produce queries, insights or visualizations.

A beautiful graphing toolkit for Ruby.

A JavaScript library aimed at visualizing graphs of thousands of nodes and edges.

High performance distributed data processing in NodeJS.

Analyzes structured data and helps produce queries, insights or visualizations.

A system for quickly generating training data with weak supervision.

AI-generated visualization prototyping and editing platform, support 2D, 3D models, combined with LLM(Large Language Model) for quick editing.

Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters, has python API.