Software Alternatives & Startups

DataMelt VS Tabula

Compare DataMelt VS Tabula and see what are their differences

DataMelt

DataMelt (DMelt), a free mathematics and data-analysis software for scientists, engineers and students.

Rating
5.0 · 1 review
Pricing
Open source Freemium Free trial
Tabula

Tabula is a tool for liberating data tables locked inside PDF files. Extract tables from PDFs.

Rating
0 reviews
Pricing
Open source
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, Tabula seems to be more popular. It has been mentioned 38 times since March 2021.

social mentions
0 vs 38
Technical Computing popularity
100% vs 0%
alternatives listed
45 vs 186

Base details

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

DataMelt
Tabula
Website datamelt.org tabula.technology
Pricing
Open source Freemium Free trial
Open source
Platforms
Linux Windows Mac OSX Java Cross Platform +2
Company 2020
Listed in

About DataMelt and Tabula

In their own words, as submitted to SaaSHub.

DataMelt
Tabula

DataMelt is a Java program for statistics, general data analysis and data visualization. The program is often termed "computational platform" since it can be used with different programming languages (Java, Python, Groovy..). DataMelt is not limited to a single programming language. The program...

Read more about DataMelt

No description of Tabula yet.

Features and specs

What each product offers, as listed by its team.

DataMelt 5 features
Tabula 5 features
  • Versatility
    DataMelt supports a wide range of programming languages including Java, Jython, Groovy, and JRuby, making it versatile for users familiar with different coding environments.
  • Rich Libraries
    It offers a comprehensive set of scientific libraries for numerical computation, data analysis, and visualization, which can be beneficial for complex scientific research and data processing tasks.
  • Cross-Platform
    DataMelt is platform-independent, running on any operating system that supports Java, such as Windows, macOS, and Linux. This makes it accessible to a wide audience.
  • Integrated Development Environment
    DataMelt provides a powerful IDE that integrates coding, plotting, and visualization tools, streamlining the workflow for developers and researchers.
  • Free and Open Source
    The core functionality of DataMelt is available for free, which can be appealing to individuals and organizations looking for budget-friendly computational tools.
  • Open Source
    Tabula is an open-source tool, which means it is free to use and can be modified by anyone. This makes it accessible to a wide range of users and allows for community-driven improvements and features.
  • Ease of Use
    Tabula offers a straightforward and user-friendly interface that makes extracting tables from PDFs easy, even for those without technical expertise.
  • Cross-Platform
    Tabula is available on multiple operating systems, including Windows, macOS, and Linux, which makes it versatile and adaptable for different users.
  • Accuracy
    It provides reasonably accurate extraction of tables from PDFs, preserving the data structure and minimizing the need for manual adjustments.
  • Privacy
    Since it runs locally on your machine, Tabula does not require you to upload your PDF files to the internet, ensuring that your data remains private and secure.

Possible disadvantages

  • Limited Functionality
    Tabula is specifically designed for table extraction and, therefore, does not offer additional PDF manipulation features such as editing or annotation.
  • Complex Tables
    While Tabula works well with simple tables, it may struggle with complex table structures, including nested tables or those with a lot of merged cells, resulting in less accurate extraction.
  • Resource Intensive
    Extracting large volumes of data, especially from extensive PDF files, can be resource-intensive and may require significant processing power and memory.
  • No Built-in OCR
    Tabula does not include Optical Character Recognition, limiting its ability to extract text from scanned PDFs where the tables are presented as images rather than actual text.
  • Dependency on Java
    Tabula requires Java to be installed on the host machine, which might be a barrier for users who do not have it configured or prefer not to use it.

Analysis

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

DataMelt
Tabula

No analysis of DataMelt yet.

Overall verdict

  • Tabula (tabula.technology) is a good tool for people who need to extract tables from PDFs efficiently and accurately.

Why this product is good

  • Tabula is highly regarded because it is open-source, easy to use, and performs exceptionally well at its primary function—extracting tabular data from PDFs. Its interface is intuitive, making it accessible to both technical and non-technical users. The tool supports batch processing and integrates well with data analysis workflows, enhancing productivity for users who regularly work with PDF data.

Recommended for

  • Data analysts who frequently work with PDF reports and need to extract tables for further analysis.
  • Researchers who receive data in PDF format and require a reliable tool to obtain tables without manual re-entry.
  • Finance professionals who need to extract and manipulate data from financial statements in PDF format.
  • Anyone looking for a cost-effective, easy solution for converting PDF tables into usable spreadsheet formats.

Videos

Walkthroughs and reviews on video.

DataMelt 0 videos + Add
Tabula 3 videos + Add

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

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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
DataMelt
Tabula
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

Questions & Answers

As answered by people managing DataMelt and Tabula.

How would you describe the primary audience of your product?

DataMelt's answer

students and data scientists

What's the story behind your product?

DataMelt's answer

DataMelt has its roots in particle physics where data mining is a primary task. It was created as Software:jHepWork project in 2005 and it was initially written for data analysis for particle physics.

What makes your product unique?

DataMelt's answer

Multiplatform. Supports multiple programming languages: Java, Python (Jython), Groovy, Ruby

Why should a person choose your product over its competitors?

DataMelt's answer

Large database of examples and code snippets https://datamelt.org/code/

Who are some of the biggest customers of your product?

DataMelt's answer

Students at universities and data scientists.

Which are the primary technologies used for building your product?

DataMelt's answer

Java (JDK any new new release including JDK20)

User comments

Share your experience with using DataMelt and Tabula. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

DataMelt 5.0 · 1 review
Tabula no reviews yet
  • Great 3D graphics
    SaaSHub review
    · Dec 2019

    I like this DataMelt analysis program since it has many 2D/3D visualisation and a massive number of practical examples

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

Social recommendations and mentions

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

DataMelt 0 mentions
Tabula 38 mentions

Tracking DataMelt since Mar 2021.

  • The surprisingly complex journey to text-selectable client-side generated PDFs
    We have a couple of large customers who will only send remittance advices as a PDF, the are several pages and a couple of hundred rows. Apparently their system can not send XLSX or any other format. I've been a happy user of Tabula[1]... - Source: Hacker News / 4 months ago
  • Britannica11.org – a structured edition of the 1911 Encyclopædia Britannica
    Re: OCR of tables, would the work done on https://github.com/tabulapdf/tabula / https://tabula.technology/ be relevant? - Source: Hacker News / 5 months ago
  • OpenElections Uses LLMs
    I have had to do some bank statements to CSV conversions before and still do occasionally and https://tabula.technology/ has been invaluable for this. In other news, any bank that does not produce a standard CSV file for their bank... - Source: Hacker News / about 1 year ago

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Alternatives to DataMelt and Tabula

When comparing DataMelt and Tabula, you can also consider the following products.