LiveCharts2
astropy
LiveCharts2 | astropy | |
---|---|---|
7 | 26 | |
5,393 | 4,218 | |
- | 1.2% | |
0.0 | 9.9 | |
about 1 year ago | 3 days ago | |
C# | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
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LiveCharts2
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LiveCharts2 on web assembly
LiveCharts2 is a charting library completely written in C# and it is a full rewrite of LiveCharts, now LiveCahrts can run everywhere MAUI, Uno Platform, Avalonia, Xamarin, WPF, WinForms, WinUI, console and on the server side.
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Roundup of .NET MAUI. - Week of August 15, 2022
LiveCharts2 (v2) is the evolution of LiveCharts (v0), it fixes the main design issues of its predecessor, it's focused to run everywhere, improves flexibility without losing what we already had in v0.
- Graphing Libraries that are as good as Excel?
- There is framework for everything.
- My CSharp project to collect air quality sensor data from Bluetooth device and plot real-time chart
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Chart for performance over time?
You can also look at this: https://lvcharts.net/
astropy
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Julia 1.10 Released
Astropy [0] lives at the heart of most work. It has a Python interface, often backed by Fortran and C++ extension modules. If you use Astropy, you're indirectly using libraries like ERFA [6] and cfitsio [7] which are in C/Fortran.
I personally end up doing a lot of work that uses the HEALPix sky tesselation, so I use healpy [2] as well.
Openorb is perhaps a good example of a pure-Fortran package that I use quite. frequently for orbit propagation [3].
In C, there's Rebound [4] (for N-body simulations) and ASSIST [5] (which extends Rebound to use JPL's pre-calculated positions of major perturbers, and expands the force model to account for general relativity).
There are many more, these are just ones that come to mind from frequent usage in the last few months.
[0] https://www.astropy.org/
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Skyfield: Elegant Astronomy for Python
Users interested in a broader range of astronomical tools beyond coordinate transformations may be interested in https://www.astropy.org/ and its affiliated packages.
- Astropy: Common core package for Astronomy in Python
- [R] Astronomia ex machina: a history, primer and outlook on neural networks in astronomy
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License Adherence Help
I'm working on a pure Rust approximation of astropy. Up til now, I was able to recreate the intent by looking at an external API, but I'm moving on to functionality that I don't understand enough to implement without basically copying the code. Astropy uses the BSD-3 license, and it wraps the ERFA library which uses a custom license. My project currently uses the MIT license. My PR is here - my question is have I attributed everything correctly, or is there anything I need to change for everything to be above-board?
- Astro physics data analysis
- I'm a mechanical engineer with a solid background in Python and experience earlier in my career in natural science/physics. Are there any meaningful, active, open source opportunities in space science?
- OpenSource voltado à ciência
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Astronomical Calculations for Hard SF in Common Lisp
For folks who might be interested in astronomical calculations but who don't want to roll their own library, astropy (https://www.astropy.org/) is widely used by professional astronomers.
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Looking to study data from JWST's spectroscopy instruments
I agree with the other commenter. Check out their github. If you’re looking to build your skills long term (and have some experience with python) it’s worth checking out astropy and their fits file handling routines.
What are some alternatives?
Oxyplot - A cross-platform plotting library for .NET
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
ScottPlot - Interactive plotting library for .NET
SciPy - SciPy library main repository
LiveCharts2 - Simple, flexible, interactive & powerful charts, maps and gauges for .Net, LiveCharts2 can now practically run everywhere Maui, Uno Platform, Blazor-wasm, WPF, WinForms, Xamarin, Avalonia, WinUI, UWP.
Dask - Parallel computing with task scheduling
OpenTK - The Open Toolkit library is a fast, low-level C# wrapper for OpenGL, OpenAL & OpenCL. It also includes windowing, mouse, keyboard and joystick input and a robust and fast math library, giving you everything you need to write your own renderer or game engine. OpenTK can be used standalone or inside a GUI on Windows, Linux, Mac.
Numba - NumPy aware dynamic Python compiler using LLVM
Interactive Data Display for WPF - Interactive Data Display for WPF is a set of controls for adding interactive visualization of dynamic data to your application. It allows to create line graphs, bubble charts, heat maps and other complex 2D plots which are very common in scientific software. Interactive Data Display for WPF integrates well with Bing Maps control to show data on a geographic map in latitude/longitude coordinates. The controls can also be operated programmatically.
SymPy - A computer algebra system written in pure Python
MVVM Light Toolkit - The main purpose of the toolkit is to accelerate the creation and development of MVVM applications in Xamarin.Android, Xamarin.iOS, Xamarin.Forms, Windows 10 UWP, Windows Presentation Foundation (WPF), Silverlight, Windows Phone.
PyDy - Multibody dynamics tool kit.