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CPU and GPU-accelerated matrix library intended to support large-scale exploratory data analysis.
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NumPy and Pandas interface to Big Data.
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A lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
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A dashboard library for interactive visualizations using flask socketio and react.
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An API for plotting in Jupyter (IPython).
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Open-source project that applies AI to workplace tasks, meetings, sales, marketing, or productivity.
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Lightweight, extensible data validation library for Python.
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ML powered analytics engine for outlier/anomaly detection and root cause analysis.
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A repository of useful data science prompts for ChatGPT.
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Open-source DMS (data management system) for powering data hubs and data portals.
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Video keying tool for extracting green-screen or background elements from footage.
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Open source web crawler built for extracting clean website data for AI and LLM workflows.
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A plotting library for Python, based on D3.js.
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Analytical Web Apps for Python, R, Julia, and Jupyter.
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Read files from Stata, SAS, and SPSS.
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Template repository for data science lifecycle project.
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A library to compare Pandas, Polars, and Spark data frames. It provides stats and lets users adjust for match accuracy.
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Reproducible data setup for reproducible science.
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Library for working with tabular data in Julia.
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A lightweight framework for data analysis in JavaScript.
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Collect, clean and visualize your data in Python.
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A GitHub Repository Where you can Learn Datavisualizatoin Basics to Intermediate level.
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Open-source package for validating ML models & data, with various checks and suites.
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Drop-in replacement for Jupyter and an AI-native workspace for modern data teams.