useHooks(🐠) VS Plotly

Compare useHooks(🐠) VS Plotly and see what are their differences

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Plotly

Low-Code Data Apps

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2023-08-17

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2023-07-31

useHooks(🐠)

Website: usehooks.com
Pricing URL: -
$ Details

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Plotly

Website: plotly.com
Pricing URL: Official Plotly Pricing
$ Details: -

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useHooks(🐠) features and specs

Comprehensive Resource
useHooks provides a wide range of hooks with clear explanations and examples, making it a great resource for developers who want to learn about React Hooks or need a quick reference.
Easy to Understand
The website is designed to be easy to navigate, with simple and straightforward examples. This makes it accessible to both beginner and experienced developers who are looking for practical implementations of hooks.
Community-Driven
The useHooks site and its associated GitHub repository often incorporate contributions from the React community, ensuring a diverse and up-to-date set of hooks that cover a wide array of use cases.

Possible disadvantages of useHooks(🐠)

Limited Depth
While useHooks provides a good overview and practical examples, it might not delve deeply into complex use cases or advanced hook usage that some developers may require for intricate applications.
Not Official Documentation
useHooks is a third-party resource and not the official React documentation from Facebook, so while it can be extremely helpful, it might not always reflect the most up-to-date practices as per the official standards.
Dependency on External Content
Being a community-driven project, the variety and quality of hooks available may depend on contributed content, which means there might be inconsistencies or varying levels of completeness across different hooks.

Plotly features and specs

Interactivity
Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
High-quality visualizations
It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
Versatility
Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
Python integration
Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
Web-based
The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
Open-source
Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

Performance
Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
Learning curve
Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
Cost for advanced features
While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
Dependency management
Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
Complexity
For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

useHooks(🐠) videos

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Plotly videos

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Create Real-time Chart with Javascript | Plotly.js Tutorial

Category Popularity

0-100% (relative to useHooks(🐠) and Plotly)

Plotly

Developer Tools

100 100%

Developer Tools

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Data Visualization

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Data Visualization

100% 100

Development Tools

100 100%

Development Tools

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Data Dashboard

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Data Dashboard

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User comments

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Reviews

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Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]

Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.

Source: www.datapad.io

5 Best Python Libraries For Data Visualization in 2023

Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.

Source: www.technotification.com

Top 8 Python Libraries for Data Visualization

Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...

Source: www.geeksforgeeks.org

5 top picks for JavaScript chart libraries

Plotly is a graphing library that’s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.

Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, Plotly should be more popular than useHooks(🐠). It has been mentiond 33 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

useHooks(🐠) mentions (22)

React Hooks Essentials
If you're interested in diving deeper into hooks or exploring useful custom hooks for your projects, I highly recommend checking out UseHooks.com. It’s a fantastic resource with tons of practical custom hooks that you can use and learn from. - Source: dev.to / 7 months ago
React Custom Hooks: Crafting Reusable and Clean Code Like a Pro
// https://usehooks.com/useLocalStorage Import { useState } from 'react'; // Hook Function useLocalStorage(key, initialValue) { // State to store our value // Pass initial state function to useState so logic is only executed once const [storedValue, setStoredValue] = useState(() => { if (typeof window === 'undefined') { return initialValue; } try { // Get from local storage by key ... - Source: dev.to / 9 months ago
Adding a real feature to a project 🧛
The very first one I came across was a package called useHooks. It looked like a really cool package with tonnes of hooks to use, and useQueue was one of them. - Source: dev.to / over 1 year ago
Thoughts on useEffect ?
There are a bunch of library custom hooks, sometimes they encapsulate logic better, you should prefer them or build your own instead. Source: almost 2 years ago
Is using both observer.unobserve and observer.disconnect redundant
It’s been some time since I’ve worked with intersection observer, so I’m not entirely sure of the answer in this instance. That said, something I tend to do when I run into something like this is look at an implementation that already exists from something like usehooks.com. I find a reference implementation to be a useful sanity check for this sort of thing. Source: about 2 years ago

Plotly mentions (33)

Python for Data Visualization: Best Tools and Practices
Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / about 1 month ago
Generative AI Powered QnA & Visualization Chatbot
Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / 3 months ago
Build a Stock Dashboard in less than 40 lines of Python code!🤓
In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / 5 months ago
Essential Deep Learning Checklist: Best Practices Unveiled
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / 11 months ago
Python equivalent to power bi/power query?
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago