github.com
Simple, realtime visualization of neural network training performance.
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metacpan.org
, a pluggable architecture for data and image processing, which can.
github.com
Analyzes structured data and helps produce queries, insights or visualizations.
github.com
A Clojure/Clojurescript notebook application/-library based on Gorilla-REPL.
github.com
CLI tool that allows you to build data profiles and write assertion tests for easily evaluating and tracking your data's reliability over time.
plotly.com
Collaborative web plotting for Python and matplotlib.
github.com
Fast DataFrame library for Rust and Python, designed as a faster alternative to Pandas.
polynote.org
The polyglot notebook with first-class Scala support.
github.com
Portable annotation tool for creating labeled datasets.
mdmgeek.com
A Techie Tech Blog on Master Data Management And Every Buzz Surrounding It.
github.com
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
github.com
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
github.com
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media.
github.com
Simple plotting for Python. Wrapper for D3xterjs; easily render charts in-browser.
pygal.org
pygal applies AI to data analysis, extraction, visualization, or business intelligence.
github.com
Markov Chain Monte Carlo sampling toolkit.
github.com
A pure-python graphics and GUI library built on PyQt4 / PySide and NumPy.
quanteda.io
Tm and are the main packages for managing, analyzing, and visualizing textual data.
github.com
A python framework to transform natural language questions to queries in a database query language.
github.com
A self-organizing data hub with S3 support.
rapids.ai
Open source GPU accelerated data science libraries.
rawgraphs.io
A free and open source tool for data visualization.
github.com
Julia package for loading many of the data sets available in R.
redash.io
Redash applies AI to data analysis, extraction, visualization, or business intelligence.