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Plotly VS Amahi

Compare Plotly VS Amahi 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

Amahi logo Amahi

Amahi is a media, home and app server software known for its easy-to-use user interface. Amahi has the best media, backup and web apps for small networks.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Amahi Landing page
    Landing page //
    2023-09-19

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.

Amahi features and specs

  • Easy Setup
    Amahi offers a user-friendly installation process, making it accessible for users without advanced technical knowledge.
  • Versatile Media Server Features
    Supports streaming and sharing media content across devices, allowing users to access their media library from anywhere.
  • App Ecosystem
    Provides a variety of apps and plugins to extend functionality, catering to various needs such as backup solutions and file sharing.
  • Web-based Interface
    The platform offers a clean, web-based interface that simplifies server management and monitoring.
  • Energy Efficient
    Can be run on low-power hardware, which is ideal for a home server setup with minimal energy consumption.

Possible disadvantages of Amahi

  • Limited Advanced Features
    Compared to other home server solutions, Amahi may lack some advanced features required by power users.
  • Dependency on Network
    Relies heavily on the local network, and any network disruptions can impact performance and access to services.
  • Less Community Support
    The community around Amahi is smaller than more popular platforms, which can make finding support or troubleshooting slower.
  • Paid Apps and Plugins
    Some of the more advanced or popular applications require payment, increasing overall costs for users seeking those functionalities.
  • Limited Compatibility with Non-Linux Systems
    Primarily designed to run on Linux-based systems, which might not be ideal for users with a non-Linux infrastructure.

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.

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

Amahi videos

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

Add video

Category Popularity

0-100% (relative to Plotly and Amahi)

Plotly

Amahi

Data Visualization
100 100%
Data Visualization
0% 0
Cloud Storage
0 0%
Cloud Storage
100% 100
Charting Libraries
100 100%
Charting Libraries
0% 0
Cloud Computing
0 0%
Cloud Computing
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 Amahi

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

Amahi Reviews

9 Of The Best FreeNAS Alternatives For Your Storage Needs
If you are looking for a tool that can make your home system administration simple, you need to use Amahi. This FreeNAS alternative comes with the features that are required for doing so.
Source: technicalustad.com
Top 7 FreeNas Alternative For Your PC
Amahi is a bit from FreeNAS that is mainly NAS-focused since it tries being more than the NAS system. It needs to be only Linux OS for your requirements. The NAS operating-system is based on the popular Linux distro Fedora, and developers keep this software updated with some new features. Amahi provides constant releases based on Fedoraโ€™s releases.
Source: www.sysprobs.com
15 FreeNAS Alternatives 2020 | Best Storage Operating System
Amahi Home Server is one of the most trending alternatives to FreeNAS. It is an easy-to-use, open-source, Linux-based tool that helps store all your data in a core computer from where itโ€™s quickly and safely accessible through its VPN. Additional features include media sharing, disk pooling, backup, file sharing, one-click apps, disk monitoring, dynamic DNS, iCal...
Source: solutionsuggest.com

Social recommendations and mentions

Based on our record, Plotly seems to be more popular. 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 / 4 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

Amahi mentions (0)

We have not tracked any mentions of Amahi yet. Tracking of Amahi recommendations started around Mar 2021.

What are some alternatives?

When comparing Plotly and Amahi, 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.

XigmaNAS - File Sharing, OS & Utilities, and Security & Privacy

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

PetaSAN - PetaSAN is an open source Scale-Out SAN solution offering massive scalability and performance.

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.

Open-E Data Storage Software SOHO - Get Open-E DSS V7 SOHO (Small Office Home Office), a free version of Open-E DSS V7 with basic functionalities of NAS/SAN software platform.

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