AstroImageJ (AIJ) is a simple and powerful tool for astronomical image analysis and precise photometry.
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AstroImageJ (AIJ) is a simple and powerful tool for astronomical image analysis and precise photometry.
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Orbit Reconstruction, Simulation and Analysis (ORSA) is a framework for scientific grade Celestial Mechanics computations.
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Polars is a DataFrame interface on top of an OLAP Query Engine implemented in Rust using Apache Arrow Columnar Format
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datatable is a Python package for manipulating 2-dimensional tabular data structures (aka data frames).
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Modin is a drop-in replacement for pandas. While pandas is single-threaded, Modin lets you instantly speed up your workflows.
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pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools.
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NumPy is the fundamental package for scientific computing with Python.
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SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering.
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Vaex is a program and Python library to visualize and explore large tabular datasets. It can calculate statistics.
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HoloViews is an open-source Python library designed to make data analysis and visualization seamless and simple.
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Dask is a flexible parallel computing library for analytic computing. It takes a Python job and shares it across multiple systems.
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Optimus is the missing framework to profile, clean, process and do ML in a distributed fashion using Apache Spark (PySpark).
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yt is an open-source Python package for analyzing and visualizing volumetric data. yt focuses on driving physically-meaningful inquiry.
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AWS Data Wrangler extends the power of Pandas library to AWS connecting DataFrames and AWS data related services.
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Orange is a component-based framework for machine learning and data mining. It includes a range of data visualization, and exploration.
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The Pentaho BI Project is application software for enterprise reporting, analysis, dashboard, data mining, workflow and ETL capabilities.
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Data science is an emerging, multidisciplinary field of scientific methods, processes, algorithm development and technology to extract knowledge or insights in ingenious ways from structured or unstructured data.
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