Software Alternatives, Accelerators & Startups

Plotly VS ArchiveBox

Compare Plotly VS ArchiveBox 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.

Plotly logo Plotly

Low-Code Data Apps

ArchiveBox logo ArchiveBox

The open-source, self-hosted internet archiving solution
  • Plotly Landing page
    Landing page //
    2023-07-31
  • ArchiveBox Landing page
    Landing page //
    2023-06-13

ArchiveBox is a powerful, self-hosted internet archiving solution to collect, save, and view sites you want to preserve offline.

You can set it up as a command-line tool, web app, and desktop app (alpha), on Linux, macOS, and Windows.

You can feed it URLs one at a time, or schedule regular imports from browser bookmarks or history, feeds like RSS, bookmark services like Pocket/Pinboard, and more. See input formats for a full list.

It saves snapshots of the URLs you feed it in several formats: HTML, PDF, PNG screenshots, WARC, and more out-of-the-box, with a wide variety of content extracted and preserved automatically (article text, audio/video, git repos, etc.). See output formats for a full list.

The goal is to sleep soundly knowing the part of the internet you care about will be automatically preserved in durable, easily accessible formats for decades after it goes down.

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.

ArchiveBox features and specs

  • Offline website saving
  • Tagging
  • Scheduled archiving
  • Recursive crawling
  • Media extraction
  • Article text extraction
  • Static HTML exports
  • Full-text search

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 ArchiveBox

Overall verdict

  • ArchiveBox is a versatile and robust solution for individuals or organizations seeking to preserve web content. It provides a wide range of archiving options and allows for extensive customization. However, as a self-hosted tool, it requires some technical knowledge to set up and maintain, which may not be ideal for non-technical users. Overall, it is a good tool if you have the technical capability and need to consistently archive online assets.

Why this product is good

  • ArchiveBox is an open-source self-hosted tool designed to help users save and manage web content offline. It is appreciated for its ability to archive web content including static HTML, PDFs, and media files in a format that is easy to navigate and long-lasting, even if the source website becomes inaccessible. The tool supports multiple input methods, including browser integrations, and is capable of running on various platforms, thus offering flexibility and scalability for personal and professional use.

Recommended for

    ArchiveBox is recommended for digital archivists, researchers, journalists, and any individuals or organizations that need to reliably save and organize web content. It is particularly suitable for those with the technical expertise to manage a self-hosted setup and who require an offline, permanent record of online information.

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

ArchiveBox videos

Archiving the Internet Before it All Rots Away (talk by by ArchiveBox founder)

More videos:

  • Tutorial - Installing ArchiveBox On Ubuntu 20.04 Using A Hyper-V VM To Preserve OSINT Investigation Findings

Category Popularity

0-100% (relative to Plotly and ArchiveBox)
Data Visualization
100 100%
0% 0
Bookmark Manager
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Bookmarks
0 0%
100% 100

Questions & Answers

As answered by people managing Plotly and ArchiveBox.

Which are the primary technologies used for building your product?

ArchiveBox's answer:

  • Django
  • SQLite
  • Wget
  • Chromium
  • Youtube-dl / yt-dlp
  • singlefile
  • readability
  • mercury
  • git
  • ripgrep
  • sonic

Who are some of the biggest customers of your product?

ArchiveBox's answer:

What's the story behind your product?

ArchiveBox's answer:

ArchiveBox aims to enable more of the internet to be saved from deterioration by empowering people to self-host their own archives. The intent is for all the web content you care about to be viewable with common software in 50 - 100 years without needing to run ArchiveBox or other specialized software to replay it.

Vast treasure troves of knowledge are lost every day on the internet to link rot. As a society, we have an imperative to preserve some important parts of that treasure, just like we preserve our books, paintings, and music in physical libraries long after the originals go out of print or fade into obscurity.

Whether it's to resist censorship by saving articles before they get taken down or edited, or just to save a collection of early 2010's flash games you love to play, having the tools to archive internet content enables to you save the stuff you care most about before it disappears.

Image from WTF is Link Rot?... The balance between the permanence and ephemeral nature of content on the internet is part of what makes it beautiful. I don't think everything should be preserved in an automated fashion--making all content permanent and never removable, but I do think people should be able to decide for themselves and effectively archive specific content that they care about.

Because modern websites are complicated and often rely on dynamic content, ArchiveBox archives the sites in several different formats beyond what public archiving services like Archive.org/Archive.is save. Using multiple methods and the market-dominant browser to execute JS ensures we can save even the most complex, finicky websites in at least a few high-quality, long-term data formats.

Why should a person choose your product over its competitors?

ArchiveBox's answer:

ArchiveBox differentiates itself from similar self-hosted projects by providing both a comprehensive CLI interface for managing your archive, a Web UI that can be used either independently or together with the CLI, and a simple on-disk data format that can be used without either.

ArchiveBox is neither the highest fidelity nor the simplest tool available for self-hosted archiving, rather it's a jack-of-all-trades that tries to do most things well by default. It can be as simple or advanced as you want, and is designed to do everything out-of-the-box but be tuned to suit your needs.

If you want better fidelity for very complex interactive pages with heavy JS/streams/API requests, check out ArchiveWeb.page and ReplayWeb.page.

If you want more bookmark categorization and note-taking features, check out Archivy, Memex, Polar, or LinkAce.

If you need more advanced recursive spider/crawling ability beyond --depth=1, check out Browsertrix, Photon, or Scrapy and pipe the outputted URLs into ArchiveBox.

How would you describe the primary audience of your product?

ArchiveBox's answer:

  • journalists
  • lawyers
  • librarians
  • digital preservation specialists
  • researchers
  • students
  • homelab / self-hosting community

User comments

Share your experience with using Plotly and ArchiveBox. 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 Plotly and ArchiveBox

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 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.

ArchiveBox Reviews

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

Social recommendations and mentions

Based on our record, ArchiveBox should be more popular than Plotly. It has been mentiond 93 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

ArchiveBox mentions (93)

  • Wikipedia bans Archive.today after site executed DDoS and altered web captures
    A bit off topic, but are there any self hosted open source archiving servers people are using for personal usage? I think ArchiveBox[1] is the most popular. I will give it a shot, but it's a shame they don't support URL rewriting[2], which would be pretty important to me. I read a lot of blog and news articles that are split across multiple pages, and it's quite annoying to have to individually search through the... - Source: Hacker News / 5 months ago
  • Internet Increasingly Becoming Unarchivable
    I run an ArchiveBox instance locally. Recommended! https://archivebox.io/. - Source: Hacker News / 5 months ago
  • YouTube downloaders (and how Google silenced the press)
    Https://archivebox.io/ could be a solution for that. - Source: Hacker News / 10 months ago
  • Linkwarden: FOSS self-hostable bookmarking with AI-tagging and page archival
    I've used https://historio.us since 2011 and still pay for it to keep access to all the pages I've archived over the years. The price has been kept low enough that I can't bring myself to cancel it even though I've been using self-hosted https://archivebox.io/ for the last few years. I always include an archived link whenever I reference something in documentation. That's my main use at the moment. However, I... - Source: Hacker News / about 1 year ago
  • Ask HN: How Do You Bookmark?
    2. Drop the link into my instance of ArchiveBox [0] and will return to it a few weeks/months later or, more often than not, never again [0] https://archivebox.io/. - Source: Hacker News / over 1 year ago
View more

What are some alternatives?

When comparing Plotly and ArchiveBox, 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.

Raindrop.io - All your articles, photos, video & content from web & apps in one place.

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

wallabag - Save the web, freely.

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.

Archive.org - Internet Archive is a non-profit digital library offering free universal access to books, movies...