astropy
Vue.js
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astropy | Vue.js | |
---|---|---|
26 | 381 | |
4,210 | 206,951 | |
1.7% | 0.2% | |
9.9 | 7.7 | |
2 days ago | 20 days ago | |
Python | TypeScript | |
BSD 3-clause "New" or "Revised" License | MIT License |
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.
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.
Vue.js
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Here are the 10 projects I am contributing to over the next 6 months. Share yours
Vuejs
- Vue 2 Final Release
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🎄 Top Front-End Frameworks in 2024 Worth Your Time and Effort to Master
Vue.js is a big favorite for making websites because it's easy to use and fits in well with other stuff. Many people worldwide are using it, and the community keeps growing.
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Angular vs. React vs. Vue.js: Comparing performance
Vue has a thriving ecosystem with a wide range of third-party libraries and plugins available for extending its functionality. These libraries cover everything from state management to routing, making it easy for developers to find solutions to common problems and enhance their development workflow. As of this writing, Vue has 200k GitHub stars.
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Top 10 "Must Have" Repositories for Web Developers
6. Vue.js
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Vue 2 vs vue 3 - The Differences
I have got the privilege of working on Vue 2 couple of months ago and its really amazing framework to work with .
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Angular v16 Is Here
Angular is as little innovative for web frameworks as Firefox-ESR is for browsers. It merely keeps copying features from other frameworks - just many years later. It is a chronically outdated framework that always struggles to keep up with its competitors. It would be ok if those were deliberate design decisions, but if the features get copied some day anyway, what is the point? Why not do it the right way from the start?
For example, this update brings us computed properties, an essential feature for any complex performant web application that was made popular by Vue.js 10 years ago [1]. And now in 2023 we get it in Angular, essentially a confirmation by its devs that its lack has always been a design error.
I also cannot understand the "mature" argument. For example, it took five years for documentation on `` to arrive [2]. This is something I'd expect from the side project of a lone programmer, not an enterprise-level framework.
The only upsides of Angular are its "batteries included" approach and the (debatable) default of RXJS, while the downsides are plenty.
[1] https://github.com/vuejs/vue/tree/218557cdec830a629252f4a9e2...
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What's happening with the forum?
It's down since months. https://github.com/vuejs/vue/issues/11867
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How to scrape the web with Puppeteer in 2023
{ "user": "vuejs", "repo": "vue", "url": "https://github.com/vuejs/vue", "stars": 201555, "description": "🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.", "topics": [ "javascript", "framework", "vue", "frontend" ], "label": "repository", "commitCount": 3544 }
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What is Vue?
Vue.js is a progressive open-source MVVM frontend JavaScript framework that is designed to be implemented incrementally since the core library focuses only on the presentation layer. Nevertheless, this framework is used for building UI (user interfaces) and complex single-page applications with modern tools and libraries to support them. It enables you to take advantage of libraries for client-side routing and state management when you need it.
What are some alternatives?
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
lit - Lit is a simple library for building fast, lightweight web components.
SciPy - SciPy library main repository
htmx - </> htmx - high power tools for HTML
Dask - Parallel computing with task scheduling
vite - Next generation frontend tooling. It's fast!
Numba - NumPy aware dynamic Python compiler using LLVM
Stimulus - A modest JavaScript framework for the HTML you already have [Moved to: https://github.com/hotwired/stimulus]
SymPy - A computer algebra system written in pure Python
React - The library for web and native user interfaces.
PyDy - Multibody dynamics tool kit.
Alpine.js - A rugged, minimal framework for composing JavaScript behavior in your markup.