Software Alternatives & Startups

Orchard VS Plotly

Compare Orchard VS Plotly 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.

Orchard logo Orchard

Orchard is a free, open source, community-focused content management system written in ASP.

Plotly logo Plotly

Low-Code Data Apps
  • Orchard Landing page
    Landing page //
    2023-07-04
  • Plotly Landing page
    Landing page //
    2023-07-31

Orchard features and specs

  • Modularity
    Orchard Core is highly modular, allowing developers to add or remove features as needed to create custom applications tailored to specific needs.
  • Open Source
    Being an open-source project, Orchard Core provides transparency, flexibility, and the benefit of community-driven improvements and support.
  • Multitenancy
    Orchard Core supports multitenancy, allowing users to host multiple websites on a single installation, which is efficient for managing resources and maintaining scalability.
  • ASP.NET Core Framework
    Built on the ASP.NET Core framework, Orchard Core benefits from robust performance, cross-platform capabilities, and active support from Microsoft.
  • Customizable Content Management
    It offers a flexible content management system that allows for easy customization of content types, workflows, and templates, which can be tailored to unique business needs.

Possible disadvantages of Orchard

  • Complexity for Beginners
    The high degree of customization and modularity in Orchard Core might pose a learning curve for beginners unfamiliar with ASP.NET Core or modular application architectures.
  • Limited Third-party Integrations
    Compared to more established CMS platforms, Orchard Core may have a smaller ecosystem of third-party plugins and integrations, potentially limiting functionality out-of-the-box.
  • Community Support Variability
    As an open-source platform, the level of community support can vary, and some users might find the documentation and resources less comprehensive than those for commercial CMS solutions.
  • Frequent Updates
    Orchard Core is actively developed, which means frequent updates. While this is beneficial for security and performance, it can require regular maintenance to keep installations up-to-date.
  • Performance Overhead
    The modular architecture, while flexible, might introduce some performance overhead compared to leaner, more specialized solutions, particularly for simple or small-scale web projects.

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.

Orchard videos

Orchard Review - with Liz Davidson

More videos:

  • Review - Orchard Review - w/ Game Vine
  • Review - Multi Orchard and Residencia Review | Al haroon Associates

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 Orchard and Plotly)
Writing Tools
100 100%
0% 0
Data Visualization
0 0%
100% 100
AI
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 Orchard and Plotly

Orchard 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 should be more popular than Orchard. 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.

Orchard mentions (5)

  • Do we have anything like Strapi for dotnet?
    Have you looked into https://orchardcore.net ? Source: over 2 years ago
  • Is there any dotNet project that would be equivalent of a Django app, with admin pages, user model and SQLite context ready setup?
    So I would look at https://orchardcore.net/ or https://www.oqtane.org/#home. Both are asp.net core, multiple DB support, open source, and have admin pages for user/role management. Oqtane uses Blazor for UI. Source: almost 4 years ago
  • CMS Management System
    I also tried the trials for Orchard Core (next to dotCMS) and I was not able to add additional "customers". However, this might be the case since some features are disabled during the demo. Source: almost 4 years ago
  • Open source CMS connects to existing API
    Maybe check this out https://orchardcore.net/. Source: about 4 years ago
  • Looking for alternatives to aspnetboilerplate.com
    Check out Orchard or just their Core libraries depending on what you need https://orchardcore.net/. Source: about 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
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What are some alternatives?

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

Cowriter - Your AI buddy for speeding up creative writing

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.

Portfolio CMS - Portfolio CMS is an open-source, highly customized blog and CMS written in Redux and Rails API.

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

DEV.to - Where software engineers connect, build their resumes, and grow.

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.