Software Alternatives & Startups

Gemfury VS Plotly

Compare Gemfury VS Plotly and see what are their differences

Gemfury logo Gemfury

Gemfury is a hosted repository for your public and private packages, where they are safe and within reach.

Plotly logo Plotly

Low-Code Data Apps
  • Gemfury Landing page
    Landing page //
    2021-08-26
  • Plotly Landing page
    Landing page //
    2023-07-31

Gemfury features and specs

  • Easy Package Management
    Gemfury simplifies package management by providing a straightforward platform to host and manage private and public packages across various programming languages, making it easy to store and retrieve dependencies.
  • Supports Multiple Languages
    Gemfury supports a wide range of languages, including Ruby, Python, Node.js, PHP, and more, allowing teams to manage packages from different ecosystems in a single location.
  • Seamless Integration
    It offers seamless integration with popular CI/CD tools, making it easy to incorporate into existing workflows and automate package releases and deployments.
  • Access Control and Security
    Gemfury allows users to set permissions and manage access control with fine-grained security options, helping protect sensitive packages and ensuring they are shared with the right teammates.
  • Reliable and Scalable
    Built on a robust cloud infrastructure, Gemfury provides high availability and scalability, ensuring reliability for both small and large teams as they grow.

Possible disadvantages of Gemfury

  • Cost
    Gemfury is a paid service, and for larger teams or projects with extensive dependency management requirements, the cost might be higher compared to self-hosted solutions.
  • Dependency on External Service
    Using Gemfury means relying on an external service for package management, which could be a concern for teams that prefer full control over their infrastructure.
  • Limited Customization
    As a hosted service, there may be limited options for customization compared to a self-managed package repository where teams can tailor features and configurations to specific needs.
  • Learning Curve
    New users or teams migrating from different solutions might face a learning curve in terms of integrating and utilizing all features provided by Gemfury efficiently.

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.

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.

Gemfury videos

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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

Category Popularity

0-100% (relative to Gemfury and Plotly)
Package Manager
100 100%
0% 0
Data Visualization
0 0%
100% 100
Developer Tools
100 100%
0% 0
Charting Libraries
0 0%
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 Gemfury and Plotly

Gemfury 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.
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 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.

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than Gemfury. While we know about 34 links to Plotly, we've tracked only 1 mention of Gemfury. 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.

Gemfury mentions (1)

  • free-for.dev
    Gemfury — Private and public artifact repos for Maven, PyPi, NPM, Go Module, Nuget, APT, RPM repositories. Free for public projects. - Source: dev.to / almost 4 years ago

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 / 6 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!🤓
    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 / almost 2 years 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
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What are some alternatives?

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

Cloudsmith - Cloudsmith is the preferred software platform for securely storing and sharing packages and containers. We have distributed millions of packages for innovative companies around the world.

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.

Artifactory - The world’s most advanced repository manager.

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

fpm - DevOps, Build, Test, Deploy, and Hosted Package Repository

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.