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Cloudsmith VS Plotly

Compare Cloudsmith VS Plotly and see what are their differences

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Cloudsmith logo 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.

Plotly logo Plotly

Low-Code Data Apps
  • Cloudsmith Landing page
    Landing page //
    2023-09-25

Cloudsmith is a single source of truth for all your software assets, available to teams, individuals, customers and build processes anywhere on the planet. Cloudsmith is the only cloud-native, universal package management solution, allowing your organization to create, store and share packages in any format, to any place, with total confidence.

  • Plotly Landing page
    Landing page //
    2023-07-31

Cloudsmith features and specs

  • Universal Support
    Cloudsmith supports a wide range of package formats, enabling seamless management for different types of software artifacts in one place.
  • Security Features
    Offers comprehensive security features including encryption, access controls, and logging, ensuring the integrity and confidentiality of your packages.
  • Reliable Hosting and Distribution
    Provides a reliable cloud-based system for hosting and distributing software packages, reducing infrastructure overhead and ensuring high availability.
  • Continuous Integration/Continuous Deployment (CI/CD) Integration
    Easily integrates with popular CI/CD tools, streamlining the build, release, and deployment process for development teams.
  • Global Content Delivery Network (CDN)
    Utilizes a global CDN to ensure fast and reliable delivery of software packages to developers around the world.

Possible disadvantages of Cloudsmith

  • Cost
    Cloudsmith can be expensive compared to self-hosted solutions, particularly for organizations with large-scale needs.
  • Complexity
    The vast array of features might be overwhelming for new users or small teams with simple package management needs.
  • Dependency on Internet Access
    Being a cloud-based solution, Cloudsmith requires reliable internet access, which could be a potential issue in environments with limited connectivity.
  • Learning Curve
    Users may encounter a learning curve when adopting Cloudsmith, particularly if they are transitioning from a simpler or different package management system.

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 Cloudsmith

Overall verdict

  • Yes, Cloudsmith is generally considered a good platform for managing software distribution and package management.

Why this product is good

  • Cloudsmith is appreciated for its robust features and flexibility in handling various package types, making it a versatile choice for developers. It offers secure, scalable, and private repositories for managing your software assets and supports multiple package formats, including Docker, Maven, npm, and more. The platform also provides strong security features to ensure the protection of software packages.

Recommended for

  • Organizations seeking a reliable and secure platform for software package distribution.
  • Developers who need support for multiple package formats in a unified platform.
  • Teams looking for a scalable solution to manage private repositories with strong access controls.
  • Companies interested in improving their DevOps processes through integrated package management solutions.

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.

Cloudsmith videos

+ Add

Using Cloudsmith to store and distribute any type of file

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

Category Popularity

0-100% (relative to Cloudsmith and Plotly)

Cloudsmith

Plotly

Package Manager
100 100%
Package Manager
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Developer Tools
100 100%
Developer Tools
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

Share your experience with using Cloudsmith and Plotly. For example, how are they different and which one is better?
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Reviews

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

Cloudsmith Reviews

Repository Management Tools
Cloundsmith Package is one of the best DevOps tools that is available in the Repository Management space and also ensures that levels up your DevOps enterprise-grade repositories as like Debian, Maven, Python, Ruby, Vagrant and more. It lets you focus on your product as Cloudsmith Package simplifies all your concerns related to the whole process in itself and handles the...
Source: mindmajix.com
What is Artifactory?
Cloudsmith Package makes sure that your DevOps enterprise-grade repositories, such as Vagrant, Ruby, Python, Maven, Debian, and others, are leveled up. It allows you to concentrate on your product because Cloudsmith Package takes care of all of your concerns about the entire process and manages package management in the most efficient manner possible.
Source: blog.packagecloud.io

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 seems to be a lot more popular than Cloudsmith. While we know about 34 links to Plotly, we've tracked only 2 mentions of Cloudsmith. 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.

Cloudsmith mentions (2)

  • How a Beige Keyboard Changed My Life: From C64 to CTO
    Now, well beyond the fall of Newzbin, and with a stint in corporate land, security, and fintech, I’m co-founder and CTO of Cloudsmith (website). We use our unique blend of cloud-native artifact management to secure the software supply chain for some of the biggest companies in the world. We’ve raised serious capital for a serious platform. And we started it from Belfast. - Source: dev.to / over 1 year ago
  • Lazygit: A simple terminal UI for Git commands
    Linus Torvalds about this: https://www.youtube.com/watch?v=Pzl1B7nB9Kc Distros (Debian in particular comes to mind) have some really annoying packaging rules, and as a maintainer of a Go program, it's a huge pain, so we decided to just set up a repo with https://cloudsmith.com/ instead of trying to deal with that. They require every dependency (indirect or not) to be packaged separately. We don't have the time for... - Source: Hacker News / almost 5 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
View more

What are some alternatives?

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

Artifactory - The world’s most advanced repository manager.

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.

Sonatype Nexus Repository - The world's only repository manager with FREE support for popular formats.

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

packagecloud - Free hosted Node.js, Debian, RPM, Java, Python and RubyGem repositories. Chef, Puppet, Jenkins, Buildkite, CircleCI and Travis CI integrations.

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.

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