Software Alternatives & Startups

PhotoRec VS Plotly

Compare PhotoRec 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.

PhotoRec logo PhotoRec

Jun 4, 2016 - PhotoRec is file data recovery software designed to recover lost files including video, documents and archives from hard disks, CD-ROMs, and lost pictures (thus the Photo Recovery name) from digital camera memory.

Plotly logo Plotly

Low-Code Data Apps
  • PhotoRec Landing page
    Landing page //
    2021-09-26
  • Plotly Landing page
    Landing page //
    2023-07-31

PhotoRec features and specs

  • Free and Open Source
    PhotoRec is free to use and its source code is open to the public. This allows for transparency, community-driven improvements, and no cost to the user.
  • Wide File Format Support
    PhotoRec supports the recovery of more than 480 file extensions, making it versatile for retrieving different types of data including documents, archives, and media files.
  • Cross-Platform Compatibility
    PhotoRec is available for multiple operating systems, including Windows, macOS, Linux, and BSD, allowing users to utilize the tool across various environments.
  • Effective Data Recovery
    PhotoRec can recover files from hard disks, CD-ROMs, memory cards, and other storage devices even if the filesystem has been severely damaged or reformatted.

Possible disadvantages of PhotoRec

  • Command-Line Interface
    The software primarily relies on a command-line interface which may be intimidating or challenging for users who are not tech-savvy or familiar with command-line operations.
  • Lack of User-Friendly Features
    There is no graphical user interface (GUI), which can make the process of file recovery less intuitive and more cumbersome for some users.
  • No Filter for Specific File Types
    PhotoRec recovers a wide variety of files indiscriminately, which can lead to a large volume of recovered data that might require significant effort to sift through.
  • No Preview Functionality
    The software does not offer a preview option for files before recovering them, making it difficult for users to identify specific files they wish to restore.

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 PhotoRec

Overall verdict

  • PhotoRec is considered one of the best free data recovery tools available, especially for users comfortable with a command-line interface and those looking for a reliable solution without any cost. While it may not have a graphical user interface, its performance and effectiveness in recovering files make it a worthwhile choice.

Why this product is good

  • PhotoRec is a highly regarded open-source data recovery software that specializes in recovering lost files from a variety of storage devices, such as hard disks, memory cards, and USB drives. It is particularly effective because it ignores the file system and goes after the underlying data, which allows it to recover files even from corrupted or reformatted partitions. It's also capable of recognizing numerous file formats, making it versatile for different recovery needs.

Recommended for

    PhotoRec is recommended for technically savvy individuals who need a robust data recovery solution capable of handling a wide range of file types across different storage media. It's also suited for users who are dealing with severe data loss situations where traditional file recovery tools might fail.

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.

PhotoRec 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 PhotoRec and Plotly)
Data Recovery Software
100 100%
0% 0
Data Visualization
0 0%
100% 100
Backup & Restore
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 PhotoRec and Plotly

PhotoRec Reviews

Top 5 Partition Recovery Tools for Mac
PhotoRec is a partition recovery tool specifically designed for Mac users, capable of recovering lost files such as documents, archives, and videos from various storage media including CD-ROMs, hard disks, and digital cameras.
The 8 Proven Mobile Phone Data Recovery Softwares [Updated in 2023]
PhotoRec is an open-source software released under GPL v2+aimed at mobile data recovery. It can help users retrieve extremely damaged photos, audio, and video files stored on memory sticks, SD cards, MMC, Microdrive, and CF cards.
Top 6 Effective SD Card Recovery Softwares ( Updated in 2023 )
PhotoRec is an open source and free SD card data recovery tool that supports recovery of all types of files. It has been tested to efficiently recover deleted files and folders from SD, HDD, SSD, USB flash drives and memory cards. Compatible with all types of computers and hard drives, it is secure and reliable enough for business users. However, PhotoRec takes longer to...
Top 10 Free Paid Photo Recovery Softwares in 2022
PhotoRec is a software specially designed to recover photos from any PC. The service is open source, which means you can modify it if you have the necessary skills. PhotoRec is similar to TestDisk, with a DOS-based interface. Therefore, unlike other photo recovery softwares, PhotoRec does not have a graphical interface for viewing photos. On the other hand, one cannot deny...
Top 10 Best Data Recovery Software in 2021 (That Actually Worth Your Time!)
In terms of performance, PhotoRec can measure up to many paid data recovery software applications. It uses a non-destructive data recovery method, which prevents it from writing to the same storage device the user is about to recover from. In certain cases, PhotoRec can successfully recover even fragmented files scattered all over the place.

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 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.

PhotoRec mentions (0)

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

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 PhotoRec and Plotly, you can also consider the following products

Recuva - Accidentally deleted an important file? Lost files after a computer crash?

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.

TestDisk - TestDisk is a free and open source data recovery software tool designed to recover lost partition and unerase deleted files. DownloadDownload TestDisk & PhotoRec. TestDisk is a free and open .

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

Disk Drill by Cleverfiles - Recover any type of deleted files in Windows & Mac including Office documents, messages, and media files quickly and easily.

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.