Redash applies AI to data analysis, extraction, visualization, or business intelligence.
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A free and open source tool for data visualization.
Tm and are the main packages for managing, analyzing, and visualizing textual data.
A pure-python graphics and GUI library built on PyQt4 / PySide and NumPy.
Simple plotting for Python. Wrapper for D3xterjs; easily render charts in-browser.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media.
Portable annotation tool for creating labeled datasets.
CLI tool that allows you to build data profiles and write assertion tests for easily evaluating and tracking your data's reliability over time.
A Clojure/Clojurescript notebook application/-library based on Gorilla-REPL.
Analyzes structured data and helps produce queries, insights or visualizations.
, a pluggable architecture for data and image processing, which can.
Simple, realtime visualization of neural network training performance.
Parse indexes AI recommendations so brands know where they stand.
Clojure API wrapping Python's Pandas library.
Create HTML profiling reports from pandas DataFrame objects.
A library providing high-performance, easy-to-use data structures and data analysis tools.
LLM Comparator is an interactive data visualization tool for evaluating and analyzing LLM responses side-by-side, developed by the PAIR team.
Cleansing, pre-processing, feature engineering, exploratory data analysis and easy ML with PySpark backend.
Bring multiple data streams into one dashboard.
Distributed, masterless, high performance, fault tolerant data processing. Written entirely in Clojure.
Analyzes structured data and helps produce queries, insights or visualizations.
Notebook experience in your Clojure namespace.
Supercharged React dataviz components.
Analyzes structured data and helps produce queries, insights or visualizations.