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Plotly VS Open HUB

Compare Plotly VS Open HUB and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Plotly logo Plotly

Low-Code Data Apps

Open HUB logo Open HUB

Open HUB is an open source directory that anyone can edit.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Open HUB Landing page
    Landing page //
    2021-12-16

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.

Open HUB features and specs

  • Comprehensive Project Data
    Open HUB provides extensive data on a wide variety of open-source projects, including lines of code, contributor statistics, and project activity trends.
  • Contributor Insights
    The platform offers detailed insights into individual contributions, making it easier to identify key contributors and their impact on projects.
  • Visualization Tools
    Open HUB offers various visualization tools such as graphs and charts to help users understand project dynamics and trends more easily.
  • Comparative Analysis
    Users can compare different projects against each other based on various metrics, helping them make informed decisions on which projects to engage with or contribute to.
  • Open Source Focus
    The platform is specifically tailored for open-source projects, making it a valuable resource for the open-source community.
  • API Access
    Open HUB provides APIs for developers to access project data programmatically, enabling integrations with other tools and platforms.
  • Community Engagement
    The platform fosters community engagement by allowing users to review projects and provide feedback, promoting collaborative development.

Possible disadvantages of Open HUB

  • Data Accuracy
    Some users have reported inconsistencies in the data provided, which can lead to incorrect conclusions about project health and activity.
  • Limited Project Scope
    While Open HUB covers a wide array of projects, it may not include every open-source project, especially newer or less popular ones.
  • User Interface
    The interface can be somewhat outdated and clunky, making it difficult for new users to navigate and find the information they need.
  • Dependency on SCM Repositories
    The platform relies heavily on data from source control management (SCM) repositories, and any discrepancies or lack of updates in these sources can affect the accuracy of the data.
  • Lag in Data Updates
    There can be a lag between when changes are made in the original project and when those changes are reflected on Open HUB, affecting real-time analysis.
  • Privacy Concerns
    Some contributors may have privacy concerns regarding the visibility of their contribution data, which is aggregated and displayed publicly on Open HUB.
  • Premium Features
    Some advanced features and more detailed statistical analyses may require a premium subscription, limiting access for free users.

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 Open HUB

Overall verdict

  • Open HUB is considered good for those who are looking for a comprehensive overview of open-source projects and wish to assess their popularity and activity effectively. The platform offers critical insights into the health and history of projects, which can be crucial for decision-making.

Why this product is good

  • Open HUB (openhub.net) is a valuable resource for discovering, evaluating, and tracking open-source software. It aggregates a wealth of information about open-source projects, including contributors, usage statistics, and community activity, which aids developers in making informed decisions. Moreover, it facilitates community engagement and transparency in open-source development.

Recommended for

  • Software developers seeking to contribute to open-source projects
  • Organizations evaluating open-source software for integration
  • Researchers analyzing open-source software trends
  • Community managers monitoring project engagement and activity

Plotly videos

+ Add

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

Open HUB videos

+ Add

How to Open a X Open Hub Account - A Step By Step Guide for Beginners ๐Ÿ”Ž

Category Popularity

0-100% (relative to Plotly and Open HUB)

Plotly

Open HUB

Data Visualization
100 100%
Data Visualization
0% 0
Development
0 0%
Development
100% 100
Charting Libraries
100 100%
Charting Libraries
0% 0
Code Collaboration
0 0%
Code Collaboration
100% 100

User comments

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Reviews

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

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 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.
Source: blog.logrocket.com

Open HUB Reviews

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

Social recommendations and mentions

Based on our record, Plotly should be more popular than Open HUB. It has been mentiond 34 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.

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

Open HUB mentions (4)

  • I want to create IMDB for Open source projects
    Automating also requires resources to keep the DB up to date. Just look at the state of https://openhub.net/ . - Source: Hacker News / over 2 years ago
  • I want to create IMDB for Open source projects
    Https://openhub.net/ already exists (but it looks quite dead). - Source: Hacker News / over 2 years ago
  • I want to create IMDB for Open source projects
    OpenHub (formerly Ohloh) tries, or tried, to do this. Seems like itโ€™s not getting a lot of love lately but perhaps you can learn from it. https://openhub.net/ One useful feature is the ability to coalesce different identities. For example, I've released libraries on my personal accounts as well as through work. Iโ€™m not sure where you start with this or what the use case is. If itโ€™s bragging rights, we have Github... - Source: Hacker News / over 2 years ago
  • Is geolocating a computer possible with obtaining a Proxy IP?
    I'm using SearXNG and tried Ahmia which only have .onion urls to find extra results in my searches. I just started using Tor for extra saftey, privacy benefits and discovered what a Proxy IP was upon visiting openhub.net on safest Tor settings. I didn't find much information about it so I'm asking here just what a proxy IP is. Source: almost 4 years ago

What are some alternatives?

When comparing Plotly and Open HUB, 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.

openDesktop.org - The website openDesktop.

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

SourceForge - The Complete Open-Source and Business Software Platform.

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.

OSOR - OSOR is the Open Source Observatory, a project to provide a framework for developing and executing autonomous observations.

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