to code with AI Top State Management Libraries
Top 5 Projects Compared
Huggingface/transformers is a popular library providing pre-trained models for natural language processing tasks.
Code Example
from transformers import pipeline
classifier = pipeline("sentiment-analysis")
result = classifier("I love this library!")[0]
print(f"Label: {result['label']}, Score: {result['score']:.4f}")
Pros
- Offers a wide range of pre-trained models for various NLP tasks, surpassing many other projects in scope.
- Provides easy-to-use APIs for fine-tuning and inference, making it more accessible than some lower-level libraries.
- Has a large and active community, contributing to frequent updates and improvements.
Cons
- Can be resource-intensive, especially compared to lighter-weight state management libraries like zustand or jotai.
- May have a steeper learning curve for beginners compared to simpler libraries focused on specific tasks.
- Lacks built-in support for certain specialized tasks that some domain-specific libraries (e.g., insightface for face recognition) offer out-of-the-box.
Redux is a predictable state container for JavaScript apps, primarily used with React.
Code Example
const store = createStore(reducer);
store.dispatch({ type: 'INCREMENT' });
const state = store.getState();
Pros
- Offers a centralized, predictable state management solution for large-scale applications
- Provides excellent debugging capabilities with time-travel debugging
- Has a large ecosystem of middleware and tools
Cons
- Can be verbose and require more boilerplate code compared to simpler alternatives like Zustand or Jotai
- Has a steeper learning curve for beginners compared to some other state management solutions
- May be overkill for smaller applications or simpler state management needs
Zustand is a small, fast, and scalable state management solution for React applications.
Code Example
import create from 'zustand'
const useStore = create(set => ({
count: 0,
increment: () => set(state => ({ count: state.count + 1 }))
}))
Pros
- Simpler API and less boilerplate compared to Redux or MobX
- Lightweight and performant, with a small bundle size
- Easy integration with React hooks, making it more intuitive for React developers
Cons
- Less ecosystem support and middleware options compared to Redux
- May not be as suitable for large-scale applications with complex state management needs as Redux or MobX
- Lacks built-in dev tools and time-travel debugging features found in some other state management libraries
TanStack Query is a powerful data fetching and state management library for web applications.
Code Example
const { data, isLoading, error } = useQuery('todos', fetchTodos)
if (isLoading) return 'Loading...'
if (error) return 'An error occurred: ' + error.message
Pros
- Provides a simple and intuitive API for managing asynchronous data fetching and caching
- Offers automatic background refetching and stale-while-revalidate functionality
- Supports both React and Vue, making it versatile across different frontend frameworks
Cons
- More focused on data fetching than general state management compared to Redux or MobX
- Has a steeper learning curve for complex use cases compared to simpler state management solutions like Zustand
- Lacks some advanced features found in machine learning libraries like Hugging Face Transformers
React Hook Form is a lightweight library for managing form state and validation in React applications using hooks.
Code Example
import { useForm } from "react-hook-form";
const { register, handleSubmit } = useForm();
<input {...register("username", { required: true })} />
Pros
- Offers a simpler and more performant approach to form handling compared to Redux Form.
- Provides better integration with React's component model than many state management libraries like Redux or MobX.
- Has a smaller bundle size and faster performance compared to other form libraries.
Cons
- Limited to form state management, unlike more general-purpose state management solutions like Redux or Zustand.
- May require additional libraries for complex form scenarios, unlike some all-in-one solutions.
- Less suitable for managing global application state compared to libraries like Recoil or Jotai.
All Top Projects
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
redux
A JS library for predictable global state management
zustand
🐻 Bear necessities for state management in React
query
🤖 Powerful asynchronous state management, server-state utilities and data fetching for the web. TS/JS, React Query, Solid Query, Svelte Query and Vue Query.
react-hook-form
📋 React Hooks for form state management and validation (Web + React Native)
vuex
🗃️ Centralized State Management for Vue.js.
immer
Create the next immutable state by mutating the current one
mobx
Simple, scalable state management.
xstate
Actor-based state management & orchestration for complex app logic.
diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
insightface
State-of-the-art 2D and 3D Face Analysis Project
NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Visual CopilotPromo
Visual CopilotTurn Figma designs into high-quality code using AI
audiocraft
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.
Recoil
Recoil is an experimental state management library for React apps. It provides several capabilities that are difficult to achieve with React alone, while being compatible with the newest features of React.
jotai
👻 Primitive and flexible state management for React
peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
sentence-transformers
State-of-the-Art Text Embeddings
flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)
DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
mamba
Mamba SSM architecture
yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
redux-form
A Higher Order Component using react-redux to keep form state in a Redux store
transformers.js
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
bloc
A predictable state management library that helps implement the BLoC design pattern
seamless_communication
Foundational Models for State-of-the-Art Speech and Text Translation
history.js
History.js gracefully supports the HTML5 History/State APIs (pushState, replaceState, onPopState) in all browsers. Including continued support for data, titles, replaceState. Supports jQuery, MooTools and Prototype. For HTML5 browsers this means that you can modify the URL directly, without needing to use hashes anymore. For HTML4 browsers it will revert back to using the old onhashchange functionality.
boardgame.io
State Management and Multiplayer Networking for Turn-Based Games
valtio
🧙 Valtio makes proxy-state simple for React and Vanilla
tokenizers
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.