Software Alternatives & Startups

Plot Digitizer VS Recoll

Compare Plot Digitizer VS Recoll and see what are their differences

Plot Digitizer

All-in-One Tool to Extract Data from Graphs, Plots & Images

Rating
0 reviews
Recoll

Recoll is a desktop full-text search tool. Recoll finds keywords inside documents as well as file names.

Rating
0 reviews
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.

Which is more popular?

Based on our record, Plot Digitizer seems to be more popular. It has been mentioned 3 times since March 2021.

social mentions
3 vs 0
Data Extraction popularity
100% vs 0%
alternatives listed
36 vs 63

Base details

Website, pricing, platforms and company facts side by side.

Plot Digitizer
Recoll
Website plotdigitizer.com lesbonscomptes.com
Pricing —
Listed in

Features and specs

What each product offers, as listed by its team.

Plot Digitizer 5 features
Recoll 6 features
  • User-friendly Interface
    Plot Digitizer offers a simple and intuitive interface, making it accessible for users of varying technical skill levels.
  • Supports Multiple File Formats
    The tool supports a variety of file formats, including PNG, JPEG, and PDF, offering flexibility in terms of input data.
  • Precision and Accuracy
    Plot Digitizer provides precise and accurate data extraction, ensuring reliable outputs from digitized plots.
  • Versatile Application
    It can be used for various types of graphs and charts, such as line graphs, scatter plots, and bar charts.
  • Cross-Platform Compatibility
    The application is web-based, which allows it to be used across different operating systems without needing additional software installations.

Possible disadvantages

  • Limited Free Features
    The free version may have limited features compared to the paid version, which could restrict functionality for some users.
  • Internet Dependency
    As a web-based tool, Plot Digitizer requires a stable internet connection for use, which might be a limitation in areas with poor connectivity.
  • Learning Curve
    While the interface is generally user-friendly, new users may still require time to understand all available features to use the tool efficiently.
  • Potential for Manual Errors
    Manual calibration and adjustments might introduce errors, especially when dealing with complex or high-density plots.
  • Performance Limitations
    Very large or complex datasets might impact the performance and speed of the tool, potentially leading to longer processing times.
  • Comprehensive Indexing
    Recoll can index a wide variety of file types and contents, including emails, documents, and multimedia files. This makes it highly versatile for different data indexing needs.
  • Highly Customizable
    Users can tweak Recoll to meet their specific needs, from defining indexing rules to configuring the GUI settings. This level of customization allows for personalized usage.
  • Powerful Search Capabilities
    It provides advanced search features such as Boolean searches, phrase searches, and filtering by file type or date, which help users find exactly what they are looking for quickly.
  • Cross-Platform Availability
    Recoll is available on multiple operating systems including Linux, Windows, and macOS, making it accessible to a wide range of users.
  • Open Source
    Being open-source, it allows users to view the source code and contribute to its development. It also means there are no licensing fees associated with its use.
  • Support for Multiple Languages
    Recoll supports multiple languages, which makes it a suitable choice for international users.

Possible disadvantages

  • Resource Intensive
    The indexing process can be resource-intensive, consuming significant CPU and memory, particularly when handling large datasets.
  • Complex Setup
    Initial setup and configuration can be complex and may require a good understanding of its settings and features, which may not be user-friendly for beginners.
  • User Interface
    While functional, the user interface is considered less modern and may not be as intuitive or visually appealing as some commercial alternatives.
  • Limited Customer Support
    As an open-source project, customer support is primarily community-driven, which may not be as reliable or fast as professional support services.
  • Frequent Updates
    While frequent updates can be beneficial, they may also require users to frequently update their installations and adapt to changes, which can be inconvenient.
  • Limited Mobile Support
    Recoll has limited support for mobile platforms, which may be an important consideration for users who need cross-platform, mobile-friendly access.

Analysis

An editorial look at what each product does well and who it suits.

Plot Digitizer
Recoll

No analysis of Plot Digitizer yet.

Overall verdict

  • Recoll is generally considered a good tool for those in need of an efficient and reliable desktop search solution. Its combination of features, ease of use, and effectiveness in searching a diverse array of document types make it a commendable choice.

Why this product is good

  • Recoll is a powerful desktop search tool that indexes a wide variety of file formats and provides fast searching capabilities. It is appreciated for its comprehensive indexing, including full-text search and support for advanced queries. Users often highlight its ability to handle complex searches with precision and its user-friendly interface. Additionally, it supports a wide range of document types, which makes it versatile for varied use cases.

Recommended for

    Recoll is recommended for individuals or professionals who frequently need to search through a large number of documents on their computer. It is especially useful for researchers, students, or office workers who deal with a wide range of file types and need quick access to specific information within those files.

Videos

Walkthroughs and reviews on video.

Plot Digitizer 1 video + Add
Recoll 3 videos + Add

Plot digitizer

DEF CON 25 Recon Village - Dakota Nelson -Total Recoll

More videos

  • - Tutorial RECOLL
  • - Ubuntu Total "Recoll" - HDD Volltextsuche

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Plot Digitizer
Recoll
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

User comments

Share your experience with using Plot Digitizer and Recoll. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Plot Digitizer 3 mentions
Recoll 0 mentions
  • [OC] Autism rates are driven by changes in policy and diagnostic criteria, not vaccinations
    Data: The CDC data estimating national autism rates only shows data every other year since 2000 (https://www.cdc.gov/ncbddd/autism/data.html). I used California data from Nevison (2018)... Source: over 3 years ago
  • graph website/app?
    There are several, yes. Here is one, and here is anther, and here is a third. There is a detailed comparison here. Source: over 3 years ago
  • Show HN: Data Painter – A Different Way to Interact with Your Data
    I found this... Something like what you have in mind? (not Foss) https://plotdigitizer.com/. - Source: Hacker News / over 3 years ago

Tracking Recoll since Mar 2021.

Alternatives to Plot Digitizer and Recoll

When comparing Plot Digitizer and Recoll, you can also consider the following products.