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Collect, clean and visualize your data in Python.
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A lightweight framework for data analysis in JavaScript.
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Library for working with tabular data in Julia.
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Reproducible data setup for reproducible science.
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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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Template repository for data science lifecycle project.
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Read files from Stata, SAS, and SPSS.
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Analytical Web Apps for Python, R, Julia, and Jupyter.
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A plotting library for Python, based on D3.js.
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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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Open-source DMS (data management system) for powering data hubs and data portals.
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A repository of useful data science prompts for ChatGPT.
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ML powered analytics engine for outlier/anomaly detection and root cause analysis.
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Lightweight, extensible data validation library for Python.
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An API for plotting in Jupyter (IPython).
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A dashboard library for interactive visualizations using flask socketio and react.
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A lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
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NumPy and Pandas interface to Big Data.
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CPU and GPU-accelerated matrix library intended to support large-scale exploratory data analysis.
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AI-powered multi-market stock analysis with transparent BDE scoring across 73 stocks (US/HK/A-share). EU AI Act Art.50 compliant. MIT license.
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An intuitive GUI for Pandas DataFrames.
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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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Analyzes structured data and helps produce queries, insights or visualizations.