Software Alternatives, Accelerators & Startups

Plotly VS LibHunt

Compare Plotly VS LibHunt and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Plotly logo Plotly

Low-Code Data Apps

LibHunt logo LibHunt

LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • LibHunt Landing page
    Landing page //
    2024-09-18

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.

LibHunt features and specs

  • Comprehensive Library Directory
    LibHunt provides an extensive directory of libraries and tools for a wide range of programming languages and frameworks, making it easier to discover relevant resources.
  • User Reviews and Ratings
    Users can review and rate libraries, offering insights into their quality and usability which can aid in making informed decisions.
  • Categorization and Tags
    Libraries are well-categorized and tagged, which helps in quickly finding solutions that match specific criteria or needs.
  • Community Engagement
    LibHunt fosters a community where developers can share their experiences and recommendations, enhancing collective knowledge.
  • Integration with GitHub
    It integrates with GitHub repositories, displaying critical information such as forks, stars, and recent activity which is beneficial for assessing the health of a library.

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.

Analysis of LibHunt

Overall verdict

  • LibHunt is considered a valuable resource for developers seeking to explore and evaluate open-source libraries. Its comprehensive collections and community-driven insights can aid in identifying high-quality, reliable libraries for software development.

Why this product is good

  • LibHunt is a platform designed to help developers discover and compare open-source libraries and tools. It offers curated lists and rankings based on various metrics, allowing users to find suitable alternatives for their projects. Users contribute reviews and feedback, which can guide others in making informed decisions.

Recommended for

  • Developers looking for open-source libraries and tools
  • Software engineers seeking community reviews and insights
  • Project managers aiming to compare technology options
  • Tech enthusiasts interested in staying updated with popular and trending libraries

Plotly videos

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

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

LibHunt videos

No LibHunt videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Plotly and LibHunt)
Data Visualization
100 100%
0% 0
Developer Tools
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Open Source
0 0%
100% 100

User comments

Share your experience with using Plotly and LibHunt. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Plotly and LibHunt

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.
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...
5 top picks for JavaScript chart libraries
Plotly is a graphing library thatโ€™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.

LibHunt Reviews

We have no reviews of LibHunt yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than LibHunt. While we know about 34 links to Plotly, we've tracked only 3 mentions of LibHunt. 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.

Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 5 months ago
  • 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 / over 1 year 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 / over 1 year ago
  • Build a Stock Dashboard in less than 40 lines of Python code!๐Ÿค“
    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 / over 1 year 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 / about 2 years ago
View more

LibHunt mentions (3)

  • What 3D Javascript Globe package do you use?
    Using libhunt.com to compare them ( OpenSphere vs Geojson.io / OpenSphere vs Cesium ), it is clear that Cesium is the largest player in this group. Source: over 3 years ago
  • Where can I find a list of most popular go libraries?
    I usually use these Https://libs.garden Https://libhunt.com. Source: almost 4 years ago
  • Exclude domain names from searx/searxng
    I am using SearXNG as search engine (private instance) but can't figure out how to exclude some domains like libhunt.com, slant.co, saasub.com and others from the searches. I want to exclude these domains because they pop up in the first results for vs queries but I am looking for real comparisons. Any suggestions? Thanks! Source: about 4 years ago

What are some alternatives?

When comparing Plotly and LibHunt, you can also consider the following products

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

AlternativeTo - AlternativeTo lets you find apps and software for Windows, Mac, Linux, iPhone, iPad, Android, Android Tablets, Web Apps, Online, Windows Tablets and more by recommending alternatives to apps you already know.

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

SaaSHub - Find and promote software that will help you grow your business or to be more productive.

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

Top Best Alternatives - Search and choose the right software alternative with our crowdsourced software recommendation engine.