<h2>Overview</h2>
AstroAngles.jl offers a powerful and lightweight solution for parsing and representing angles, specifically designed for users needing angle data in astronomical contexts. With capabilities for converting between various formats such as degrees, arcminutes, arcseconds, and hours, this package is tailored to meet the needs of researchers and analysts working with celestial coordinates. The ability to handle missing values adds an extra layer of robustness, making it invaluable for managing real-world data scenarios.
Not only does AstroAngles.jl provide streamlined functionality for parsing string representations of angles, but it also includes a variety of utilities for angle conversion and formatting. The design ensures that both novice and experienced users can effectively utilize its features within their data analysis workflows.
<h2>Features</h2>
<ul>
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Angle Parsing Utilities: Supports parsing of angles in both "degree:arcmin:arcsec" and "hour:min:sec" formats using a flexible range of delimiters for easy input.
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Conversion Tools: Offers methods for converting angles as single numbers to structured tuples consistent with sexagesimal, enhancing usability in calculations.
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String Handling: Functions like <code>@dms_str</code> and <code>@hms_str</code> streamline conversion processes, allowing users to specify desired output angle types effortlessly.
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Formatting Angles: Provides simple methods for angle formatting, while recommending specialized packages for users needing fine-tuned control over the output format.
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Missing Value Support: Ensures that parsing, conversion, and formatting functions can gracefully handle missing input values, which is crucial for data integrity in analysis.
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User-Friendly Example: Demonstrates practical application by showcasing how to read sky coordinates from a CSV file and convert them into degrees.
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Open for Contributions: Active community support encourages users to contribute to the development or seek help through discussions and issue tracking.
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MIT Licensed: The code is available under the MIT license, promoting collaborative development and user freedom.
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</ul>

<h2>Overview</h2>
AstroImages.jl is a powerful tool designed for astronomers and enthusiasts alike, enabling users to load and visualize images from astronomical FITS files seamlessly. By leveraging the capabilities of popular Julia packages such as Images.jl and Plots.jl, AstroImages.jl provides a user-friendly way to handle astronomical data. Its integration with FITSIO.jl ensures that users can effectively read FITS files, making this package an essential resource for anyone looking to analyze astronomical images.
With compatibility for Julia 1.6 and later, AstroImages.jl simplifies the process of visualizing astronomical data in various environments, from Jupyter notebooks to traditional REPL setups. Whether you are working with individual images or complex data structures, this package offers a versatile solution to import, process, and visualize your astronomical data.
<h2>Features</h2>
<ul>
<li>
FITS File Support: AstroImages.jl allows you to read and visualize images from FITS files, utilizing FITSIO.jl for robust data handling.
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AstroImage Type: The package introduces the AstroImage type, which integrates seamlessly with other Julia packages, allowing for direct compatibility with plotting functions.
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Automatic Display: Images displayed in environments like VS Code, Jupyter, and Pluto automatically render without additional configuration, ensuring a smooth user experience.
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Efficient Visualization: Large images are intelligently downscaled to maintain performance while preventing aliasing, using built-in functions from Images.jl.
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Customizable Visualization: Users can easily adjust color limits, colormaps, and stretching parameters using dedicated functions, providing flexibility in visual representation.
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Headers Access: FITS headers can be accessed directly from an AstroImage, giving users immediate insight into the metadata of their images.
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Color Composites: Construct complex color composite images (like RGB) using the composecolors function, enabling users to enhance visual analysis of their data.
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Retention of Data Integrity: AstroImage maintains essential information such as headers and WCS transformations even when rendering visualizations, ensuring comprehensive data integrity.
</li>
</ul>

<h2>Overview:</h2>
AstroLib.jl is an innovative library designed specifically for those engaged in astronomical and astrophysical research, utilizing the Julia programming language. This package aims to deliver a collection of practical routines that aid users in various tasks related to data analysis and observation, making it a valuable tool for both seasoned astronomers and newcomers alike. Its functionality extends beyond basic astronomy tasks, incorporating concepts from established libraries and enhancing the workflow for practitioners in the field.
As a work-in-progress, AstroLib is continuously evolving, with contributions from a vibrant community of volunteers. Its inclusion of new types, such as the Observatory type, allows researchers to efficiently encapsulate essential information about observation sites, enabling refined data handling and analysis. Whether you're a professional astronomer or an enthusiastic hobbyist, AstroLib.jl is poised to enhance your programming experience in the realm of astronomy.
<h2>Features:</h2>
<ul>
<li>Broad Compatibility: Works seamlessly with Julia 1.0 and later versions, ensuring a wide range of compatibility for users.</li>
<li>Observatory Type: A specialized type to store and manage crucial information about observatories such as name, latitude, longitude, altitude, and timezone.</li>
<li>External File Requirements: Some functions depend on externally downloaded files, facilitating enhanced functionality during the package build process.</li>
<li>Measurements.jl Integration: Compatible with the Measurements.jl package, allowing you to define quantities with uncertainties and propagate errors in calculations.</li>
<li>Predefined Observatory List: Comes with a preset list of observatories, simplifying access to common data points while encouraging users to explore additional observatory options.</li>
<li>Active Development: Continuously being updated with new features and fixes, reflecting contributions from a dedicated community ready to assist users.</li>
<li>User-Friendly Syntax: Although inspired by other libraries, AstroLib.jl employs Julia's standard data types, making it approachable for users familiar with the language.</li>
</ul>

<h2>Overview</h2>
AstroTime is an innovative package designed for high-precision astronomical timekeeping in the Julia programming environment. It offers a DateTime-like data type tailored for astronomers and those working with astronomical data, ensuring precise tracking across various time scales. This package is particularly useful for anyone who requires accurate time calculations when dealing with celestial observations or research.
The capabilities provided by AstroTime not only streamline the process of managing time data but also enhance the accuracy and reliability of astronomical computations, making it an essential tool for researchers and developers in the field of astronomy.
<h2>Features</h2>
<ul>
<li>High-Precision Timekeeping: AstroTime offers a DateTime-like data type that provides high precision, crucial for scientific calculations in astronomy.</li>
<li>Time-Scale Awareness: The package supports all commonly used astronomical time scales, ensuring users can work with a variety of temporal frameworks.</li>
<li>Seamless Installation: Easy installation through Julia's package manager simplifies the setup process, allowing users to get started quickly.</li>
<li>Comprehensive Documentation: Detailed documentation is available, guiding users through the functionalities and features of the package.</li>
<li>Robust and Stable: Built with reliability in mind, AstroTime is continuously maintained and updated to ensure performance remains at its best.</li>
</ul>

<h2>Overview</h2>
GeneralAstrodynamics.jl is a powerful tool designed for astrodynamics calculations, seamlessly integrating with the SciML ecosystem. Whether you're a researcher or a developer exploring space dynamics, this package facilitates a range of common astrodynamics scenarios. The tool not only enhances your understanding of orbital mechanics but also provides practical solutions through its robust features, as demonstrated in presentations like the captivating "Going to Jupiter with Julia" at JuliaCon 2021.
As a user, you can expect a comprehensive suite of functionalities that cater to both beginner and advanced users in the field of astrodynamics. From simple two-body problems to complex n-body simulations, GeneralAstrodynamics.jl serves as a versatile platform for various calculations, offering both analytical and numerical methods to meet your needs.
<h2>Features</h2>
<ul>
<li>Restricted Two-body Problem (R2BP): Offers structures for both Cartesian and Keplerian states along with essential functions to implement R2BP equations.</li>
<li>Kepler and Lambert Solvers: Provides efficient algorithms to solve classical orbital mechanics problems, enhancing your ability to work with planetary trajectories.</li>
<li>Orbit Propagation and Plotting: Easily propagate orbits and visualize them through integrated plotting capabilities, making analysis intuitive.</li>
<li>Circular Restricted Three-body Problem (CR3BP): Includes structures for normalized states and facilitates the computation of unstable and stable Halo orbits.</li>
<li>Zero-velocity Curve Computation: Compute and plot zero-velocity curves for better understanding of orbital boundaries and movement constraints.</li>
<li>N-body Problem (NBP): While undergoing refactoring, it offers foundational support for complex multi-body interactions, paving the way for future improvements.</li>
<li>Comprehensive Developer Documentation: Access in-depth documentation for easy integration and usage, ensuring you can leverage all features without hassle.</li>
<li>Extensive Tests: The package comes with a suite of tests, allowing for reliable performance checks and ensuring robustness as you explore various astrodynamics scenarios.</li>
</ul>

<h2>Overview</h2>
JuliaAstro is an innovative project aiming to create a user-friendly landing page that integrates seamlessly with the Julia language ecosystem. Inspired by successful workflows such as MultiDocumenter.jl used in SciMLDocs, JuliaAstro focuses on providing a comprehensive and accessible platform for astronomers and astrophysicists using Julia. With its engaging design and support for various functionalities, this landing page serves as a gateway to all JuliaAstro-related resources and packages, all while being continually updated through GitHub Pages.
The platform invites contributions from users, fostering a collaborative environment for improving and expanding the site's offerings. Whether you're a newcomer exploring JuliaAstro or an experienced developer looking to enhance the community's resources, there are numerous ways to get involved and make a meaningful impact.
<h2>Features</h2>
<ul>
<li>User-Friendly Interface: The landing page design prioritizes user experience, making it easy for visitors to navigate and find relevant information quickly.</li>
<li>GitHub Integration: Utilizing GitHub actions, the site is automatically rebuilt with every successful pull request, ensuring that changes are reflected in real-time.</li>
<li>Markdown Editing: Contributors can directly edit existing markdown content on the site, facilitating an easy and efficient way to suggest changes or correct errors.</li>
<li>Package Ecosystem: The site includes a comprehensive page dedicated to showcasing packages within the JuliaAstro ecosystem, making it easy for users to discover related resources.</li>
<li>Comparison to Astropy Page: This feature allows users from the Python ecosystem to find analogous packages in Julia, easing the transition for those familiar with Astropy.</li>
<li>Case Studies: Real-world use cases of JuliaAstro packages are highlighted through case studies, demonstrating practical applications within the aerospace and astrophysics fields.</li>
<li>Community Involvement: The project welcomes contributions from the community, encouraging the submission of new packages and case studies to enrich the site’s content.</li>
<li>Structured Configuration: The use of JSON for organizing case studies and themes enhances the management and presentation of the content across the landing page.</li>
</ul>

<h2>Overview</h2>
UnitfulAstro.jl is an innovative extension of the popular Unitful.jl library designed to bring a wealth of astronomical units into the Julia programming environment. Authored by Michael Eastwood and licensed under MIT, this package allows users to perform calculations using units that are specifically relevant to astronomy, making it a must-have tool for researchers and enthusiasts alike. The addition of these specialized units enhances the capability and flexibility of scientific computing in the field of astronomy.
With its focus on a comprehensive array of units and magnitudes encountered during astronomical studies, UnitfulAstro.jl ensures that users can work more effectively. This extension adheres to IAU standards, providing credible and precise results essential for scientific accuracy.
<h2>Features</h2>
<ul>
<li>Extensive Unit Library: Includes a range of astronomical units such as erg, dyne, and light year, enhancing computation scope significantly.</li>
<li>Standardized Definitions: Units conform to the International Astronomical Union (IAU) standards, ensuring reliable and recognized measurements.</li>
<li>Support for Various Magnitudes: Handles absolute and apparent bolometric magnitude alongside standard photometric systems like Johnson-Cousins and Gunn griz.</li>
<li>Versatile Mass and Radius Units: Integrates units for different celestial bodies, including solar and planetary masses and radii, facilitating diverse calculations.</li>
<li>Total Electron Content: Supports total electron content units, crucial for radio astronomical applications.</li>
<li>Solar Irradiance and Luminosity: Provides units for solar irradiance and luminosity, essential for astrophysical studies.</li>
<li>Comprehensive Year Measurement: Offers a Julian year unit, useful for long-term astronomical observations and simulations.</li>
<li>Convenient Parsing and Calculations: Enables easy parsing of units and seamless calculations, enhancing user experience and productivity.</li>
</ul>

Juliaastro

AstroAngles.jl

AstroImages.jl

AstroLib.jl

AstroTime.jl

GeneralAstrodynamics.jl

JuliaAstro.github.io

UnitfulAstro.jl