piral
spaCy
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piral | spaCy | |
---|---|---|
18 | 106 | |
1,622 | 28,704 | |
1.9% | 1.3% | |
9.5 | 9.2 | |
2 days ago | 6 days ago | |
TypeScript | Python | |
MIT 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.
piral
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Micro frontend frameworks in 2024
Piral Framework - Focused on developer experience with features like a visual UI editor, live previews and hot module replacement. Ref - https://piral.io/
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Building a Large Scale Micro-frontend Application.
Micro-frontend applications have become increasingly popular among developers thanks to their many advantages. It helps create modular and maintainable applications capable of handling complex business needs. As with any technology, implementing micro-frontends poses challenges, such as ensuring consistent APIs. But, with tools like Piral, developers can easily create and scale micro-frontend applications.
- Micro frontend
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Microfrontends: Microservices for the Frontend
Piral: implements isolated components called pilets. Pilets are modules that bundle content and behavior.
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Versioning Web Components
I've prepared a demo project on the basis of Piral. The running demo can be found at the Piral samples organization on GitHub. Running the demo locally does not look very spectacular.
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There is framework for everything.
https://bit.dev/ https://piral.io/ https://github.com/umijs/qiankun https://github.com/single-spa/single-spa
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Getting Started with Micro Frontends
3) Piral: Piral is a framework for next-gen portal applications.
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How we wrote our CLI integration tests
For the command line tooling of our micro frontend framework Piral we needed to be sure that it properly runs. This includes
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Writing "The Art Of Micro Frontends"
The idea of writing a book about micro frontends was born in mid 2019 when Piral was born out of smapiot's open-source efforts. We've been leading and assisting to micro frontend implementations for a while, and our intention was to put together an (almost) ideal pattern into an open-source framework.
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Donald Trump Hates It: Distributed Development Using Micro Frontends
Therefore, for the example, I've picked a rather fancy way to "loosely" get the micro frontends at runtime using a file called feed.json, which is created at build-time using the information which micro frontends (called pilets in this case, because I am using the Piral framework) are actually available. Therefore, just adding, e.g., a third micro frontend easily works without touching the app-shell package.
spaCy
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Step by step guide to create customized chatbot by using spaCy (Python NLP library)
Hi Community, In this article, I will demonstrate below steps to create your own chatbot by using spaCy (spaCy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython):
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Best AI SEO Tools for NLP Content Optimization
SpaCy: An open-source library providing tools for advanced NLP tasks like tokenization, entity recognition, and part-of-speech tagging.
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Who has the best documentation you’ve seen or like in 2023
spaCy https://spacy.io/
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A beginner’s guide to sentiment analysis using OceanBase and spaCy
In this article, I'm going to walk through a sentiment analysis project from start to finish, using open-source Amazon product reviews. However, using the same approach, you can easily implement mass sentiment analysis on your own products. We'll explore an approach to sentiment analysis with one of the most popular Python NLP packages: spaCy.
- Retrieval Augmented Generation (RAG): How To Get AI Models Learn Your Data & Give You Answers
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Against LLM Maximalism
Spacy [0] is a state-of-art / easy-to-use NLP library from the pre-LLM era. This post is the Spacy founder's thoughts on how to integrate LLMs with the kind of problems that "traditional" NLP is used for right now. It's an advertisement for Prodigy [1], their paid tool for using LLMs to assist data labeling. That said, I think I largely agree with the premise, and it's worth reading the entire post.
The steps described in "LLM pragmatism" are basically what I see my data science friends doing — it's hard to justify the cost (money and latency) in using LLMs directly for all tasks, and even if you want to you'll need a baseline model to compare against, so why not use LLMs for dataset creation or augmentation in order to train a classic supervised model?
[0] https://spacy.io/
[1] https://prodi.gy/
- Swirl: An open-source search engine with LLMs and ChatGPT to provide all the answers you need 🌌
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How to predict this sequence?
spaCy
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What do you all think about (setq sentence-end-double-space nil)?
I chose spacy. Although it's not state of the art, it's very well established and stable.
- spaCy: Industrial-Strength Natural Language Processing
What are some alternatives?
single-spa - The router for easy microfrontends
TextBlob - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
Bit - A build system for development of composable software.
Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
pixiv.moe - 😘 A pinterest-style layout site, shows illusts on pixiv.net order by popularity.
NLTK - NLTK Source
luigi - Micro frontend framework
BERT-NER - Pytorch-Named-Entity-Recognition-with-BERT
Next.js - The React Framework
polyglot - Multilingual text (NLP) processing toolkit
puzzle-js - âš¡ Micro frontend framework for scalable and blazing fast websites.
textacy - NLP, before and after spaCy