BentoML
Vue.js
Our great sponsors
BentoML | Vue.js | |
---|---|---|
16 | 381 | |
6,537 | 206,951 | |
2.7% | 0.2% | |
9.8 | 7.7 | |
about 19 hours ago | 19 days ago | |
Python | TypeScript | |
Apache License 2.0 | 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.
BentoML
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Who's hiring developer advocates? (December 2023)
Link to GitHub -->
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project ideas/advice for entry-level grad jobs?
there are a few tools you can use as "cheat mode" shortcuts to give you a leg up as you're getting started. here's one: https://github.com/bentoml/BentoML
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Two high schoolers trying to use Azure/GCP/AWS- need help!
Then you can look into bentoml https://github.com/bentoml/BentoML which is used to deploy ml stuff with many more benifits.
- Ask HN: Who is hiring? (November 2022)
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[D] How to get the fastest PyTorch inference and what is the "best" model serving framework?
For 2), I am aware of a few options. Triton inference server is an obvious one as is the ‘transformer-deploy’ version from LDS. My only reservation here is that they require the model compilation or are architecture specific. I am aware of others like Bento, Ray serving and TorchServe. Ideally I would have something that allows any (PyTorch model) to be used without the extra compilation effort (or at least optionally) and has some convenience things like ease of use, easy to deploy, easy to host multiple models and can perform some dynamic batching. Anyway, I am really interested to hear people's experience here as I know there are now quite a few options! Any help is appreciated! Disclaimer - I have no affiliation or are connected in any way with the libraries or companies listed here. These are just the ones I know of. Thanks in advance.
- PostgresML is 8-40x faster than Python HTTP microservices
- Congratulations on v1.0, BentoML 🍱 ! You are r/mlops OSS of the month!
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Show HN: Truss – serve any ML model, anywhere, without boilerplate code
In this category I’m a big fan of https://github.com/bentoml/BentoML
What I like about it is their idiomatic developer experience. It reminds me of other Pythonic frameworks like Flask and Django in a good way.
I have no affiliation with them whatsoever, just an admirer.
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[P] Introducing BentoML 1.0 - A faster way to ship your models to production
Github Page: https://github.com/bentoml/BentoML
- Show HN: BentoML goes 1.0 – A faster way to ship your models to production
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?
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
lit - Lit is a simple library for building fast, lightweight web components.
seldon-core - An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
htmx - </> htmx - high power tools for HTML
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
vite - Next generation frontend tooling. It's fast!
clearml - ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
Stimulus - A modest JavaScript framework for the HTML you already have [Moved to: https://github.com/hotwired/stimulus]
Kedro - Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
React - The library for web and native user interfaces.
kubeflow - Machine Learning Toolkit for Kubernetes
Alpine.js - A rugged, minimal framework for composing JavaScript behavior in your markup.