Simple plotting for Python. Wrapper for D3xterjs; easily render charts in-browser.
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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.
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 python visualization library based on matplotlib.
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.
Natural Language Understanding library for intent classification and entity extraction.
A system for quickly generating training data with weak supervision.
:card_index: Extract social media profiles and more with regular expressions
Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters, has python API.
Self Organizing Map written in Python (Uses neural networks for data analysis).
Spark is a fast and general engine for large-scale data processing.
Analyzes structured data and helps produce queries, insights or visualizations.