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A Clojure/Clojurescript notebook application/-library based on Gorilla-REPL.
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Fast DataFrame library for Rust and Python, designed as a faster alternative to Pandas.
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A pure-python graphics and GUI library built on PyQt4 / PySide and NumPy.
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Python Data Science Handbook is a code project with source, releases, documentation, or setup notes.
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The Go Language library for SVG generation.
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A Python library for symbolic mathematics.
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A Pythonic algorithmic trading library.
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Open-source DMS (data management system) for powering data hubs and data portals.
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Kuwala is the no-code data platform for BI analysts and engineers enabling you to build powerful analytics workflows. We are set out to bring state-of-the-art data engineering tools you love, such as Airbyte, dbt, or Great Expectations together in one intuitive interface built with React Flow. In addition we provide third-party data into data science models and products with a focus on geospatial data. Currently, the following data connectors are available worldwide: a) High-resolution demograph
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A federated, open-source data catalog for all your big data and small data.
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Python library for data-centric AI and machine learning with messy, real-world data and labels.
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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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A repository of useful data science prompts for ChatGPT.
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Template repository for data science lifecycle project.
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Data Version Control - Git for Data & Models - ML Experiments Management.
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A lightweight set of tools for loading and sharing data in data science projects.
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Pandas API on Apache Spark. Makes data scientists more productive when interacting with big data.
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Fast and easy data exploration by automating the visualization and data analysis process.
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MeTA: ModErn Text Analysis is a C++ Data Sciences Toolkit that facilitates mining big text data.
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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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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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Pandas AI is a Python library that integrates LLMs capabilities into Pandas, making dataframes conversational.
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LLM App is a Python library that helps you build real-time AI-powered data pipelines with few lines of code.
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A library consisting of useful tools for data science and machine learning tasks.