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High performance distributed data processing in NodeJS.
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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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Basic sampling algorithms for Julia.
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A javascript library containing a collection of least squares fitting methods for finding a trend in a set of data.
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Julia package for loading many of the data sets available in R.
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A python framework to transform natural language questions to queries in a database query language.
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A pure-python graphics and GUI library built on PyQt4 / PySide and NumPy.
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Markov Chain Monte Carlo sampling toolkit.
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Simple plotting for Python. Wrapper for D3xterjs; easily render charts in-browser.
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Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media.
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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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Fast DataFrame library for Rust and Python, designed as a faster alternative to Pandas.
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CLI tool that allows you to build data profiles and write assertion tests for easily evaluating and tracking your data's reliability over time.
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Simple, realtime visualization of neural network training performance.
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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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Create HTML profiling reports from pandas DataFrame objects.
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LLM Comparator is an interactive data visualization tool for evaluating and analyzing LLM responses side-by-side, developed by the PAIR team.
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Pachyderm is a version control system for data.
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Cleansing, pre-processing, feature engineering, exploratory data analysis and easy ML with PySpark backend.
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Bring multiple data streams into one dashboard.
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A high-quality tool for convert PDF to Markdown and JSON.
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Distributed, masterless, high performance, fault tolerant data processing. Written entirely in Clojure.
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Notebook experience in your Clojure namespace.