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Analyzes structured data and helps produce queries, insights or visualizations.
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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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A pure-python graphics and GUI library built on PyQt4 / PySide and NumPy.
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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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Portable annotation tool for creating labeled datasets.
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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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A Clojure/Clojurescript notebook application/-library based on Gorilla-REPL.
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Analyzes structured data and helps produce queries, insights or visualizations.
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Simple, realtime visualization of neural network training performance.
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Clojure API wrapping Python's Pandas library.
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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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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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Distributed, masterless, high performance, fault tolerant data processing. Written entirely in Clojure.
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Notebook experience in your Clojure namespace.
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Analyzes structured data and helps produce queries, insights or visualizations.
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Unified metadata exploration API service for Hive, RDS, Teradata, Redshift, S3 and Cassandra.
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A tensor-based framework for large-scale data computation which is often regarded as a parallel and distributed version of NumPy.
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Collect, aggregate, and visualize a data ecosystem's metadata.
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Pretrain computer vision models on unlabeled data for industrial applications.
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Repeatable, atomic and versioned data lake on top of object storage.
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Pandas API on Apache Spark. Makes data scientists more productive when interacting with big data.