LiveCharts2
NumPy
LiveCharts2 | NumPy | |
---|---|---|
7 | 272 | |
5,393 | 26,413 | |
- | 1.1% | |
0.0 | 10.0 | |
about 1 year ago | 2 days ago | |
C# | Python | |
MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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/
NumPy
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Dot vs Matrix vs Element-wise multiplication in PyTorch
In NumPy with @, dot() or matmul():
- NumPy 2.0.0 Beta1
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Element-wise vs Matrix vs Dot multiplication
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication.
- JSON dans les projets data science : Trucs & Astuces
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JSON in data science projects: tips & tricks
Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:
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Introducing Flama for Robust Machine Learning APIs
numpy: A library for scientific computing in Python
- help with installing numpy, please
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A Comprehensive Guide to NumPy Arrays
Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy.
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Why do all the popular projects use relative imports in __init__ files if PEP 8 recommends absolute?
I was looking at all the big projects like numpy, pytorch, flask, etc.
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NumPy 2.0 development status & announcements: major C-API and Python API cleanup
I wish the NumPy devs would more thoroughly consider adding full fluent API support, e.g. x.sqrt().ceil(). [Issue #24081]
What are some alternatives?
Oxyplot - A cross-platform plotting library for .NET
SymPy - A computer algebra system written in pure Python
ScottPlot - Interactive 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
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.
blaze - NumPy and Pandas interface to Big Data
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.
SciPy - SciPy library main repository
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.
Numba - NumPy aware dynamic Python compiler using LLVM
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.
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).