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DataMelt VS Apify

Compare DataMelt VS Apify 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
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Alternatives Is it good?
Apify

Apify is a web scraping and automation platform that can turn any website into an API.

Rating
0 reviews
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Alternatives Is it good?
BuyKeep by PlenDesk
Organize purchase receipts, track warranty deadlines, and download a searchable offline copy with your photos and PDFs. sponsored
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, Apify seems to be more popular. It has been mentioned 68 times since March 2021.

social mentions
0 vs 68
Technical Computing popularity
100% vs 0%
alternatives listed
44 vs 240+

Base details

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

DataMelt
Apify
Website datamelt.org apify.com
Pricing
Open source Freemium Free trial
Official pricing
Platforms
Linux Windows Mac OSX Java Cross Platform +2
—
Company 2020 Startup from the Czech Republic · 10 - 19 employees
Listed in
Technical Computing Numerical Computation Data Dashboard Machine Data Analytics Statistics Data Visualization Predictive Analytics +4
Web Scraping Data Extraction Web Crawling Data +1

About DataMelt and Apify

In their own words, as submitted to SaaSHub.

DataMelt
Apify

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...

Read more about DataMelt

Apify is a JavaScript & Node.js based data extraction tool for websites that crawls lists of URLs and automates workflows on the web. With Apify you can manage and automatically scale a pool of headless Chrome / Puppeteer instances, maintain queues of URLs to crawl, store crawling results...

Read more about Apify

Features and specs

What each product offers, as listed by its team.

DataMelt 5 features
Apify 7 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.
  • Ease of Use
    Apify provides a user-friendly interface that makes it easy for users of all technical levels to create and manage web scraping tasks.
  • Scalability
    Apify is built to handle tasks of various sizes, from small-scale projects to enterprise-level operations, making it a scalable solution.
  • Integration and API Support
    It offers extensive API support, allowing for seamless integration with other tools and systems to enhance automated workflows.
  • Customizability
    Users can customize their scraping bots (actors) with different settings and scripts to fit specific needs and requirements.
  • Cloud-based
    Being a cloud-based platform, Apify allows users to run their scraping tasks without needing local resources, which is convenient and efficient.
  • Comprehensive Documentation
    Apify provides thorough documentation and tutorials, which help users get started quickly and solve issues efficiently.
  • Community and Support
    Apify has an active community and solid customer support to assist users with their needs and enhance their overall experience.

Possible disadvantages

  • Learning Curve
    While the interface is user-friendly, there may still be a learning curve for those new to web scraping and automation.
  • Cost
    Apify can be expensive compared to other web scraping tools, particularly for extensive use cases that require high volumes of data.
  • Dependency on External Factors
    Web scraping often depends on the stability of the target websites. Changes in website structures can break scripts, requiring ongoing maintenance.
  • Performance Limitations
    The performance of cloud-based scraping tasks can be affected by network latency and other external factors beyond user control.
  • Potential Legal Issues
    Web scraping can raise legal concerns, particularly when scraping data from websites that restrict such activities in their terms of service.
  • Resource Intensity
    Complex scraping tasks can be resource-intensive, potentially requiring higher-tier subscriptions and more computing resources, driving up costs.

Analysis

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

DataMelt
Apify

No analysis of DataMelt yet.

Overall verdict

  • Yes, Apify is considered a good choice for web scraping and automation needs due to its comprehensive features, user-friendly interface, and strong community support. It is especially beneficial for those who require efficient, large-scale data extraction and workflow automation.

Why this product is good

  • Apify is an established platform known for its robust web scraping and automation capabilities. It provides a powerful API, pre-built actors for common tasks, and allows you to create custom web scrapers with ease. The platform is scalable, supports a variety of programming languages, and offers features like scheduling, proxies, and data storage solutions. This versatility makes it a valuable tool for businesses and developers needing efficient data retrieval and workflow automation.

Recommended for

  • Developers looking for a versatile web scraping solution.
  • Businesses needing to automate data collection processes.
  • Researchers and analysts requiring extensive data from the web.
  • Marketers seeking competitive analysis through data scraping.
  • Tech enthusiasts interested in exploring web automation tools.

Videos

Walkthroughs and reviews on video.

DataMelt 0 videos + Add
Apify 1 video + Add

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

Apify product news - 2019/01/30

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
Apify
100% 100%
Technical Computing
0% 0%
0% 0%
Web Scraping
100% 100%
100% 100%
Office & Productivity
0% 0%
0% 0%
Data Extraction
100% 100%

Questions & Answers

As answered by people managing DataMelt and Apify.

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 Apify. 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
Apify 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

Social recommendations and mentions

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

DataMelt 0 mentions
Apify 68 mentions

Tracking DataMelt since Mar 2021.

  • How to Pull a Competitor's Google Ads into Python (Google Ads Transparency Center)
    Create a free account at apify.com, then copy your token from Settings → API & Integrations and put it in an environment variable:. - Source: dev.to / about 4 hours ago
  • AI Browser Automation Cost Template for Small Business
    AI browser automation adds a reasoning layer. The agent reads the page, works out which element is the price, adapts when the layout shifts, and decides what to do next. It can handle forms, dynamic content, and error states that stop a... - Source: dev.to / 2 days ago
  • How to get Google Trends data in Python in 2026 (now that pytrends is archived)
    Create a free account at apify.com (no card needed). - Source: dev.to / 4 days ago

View more

Alternatives to DataMelt and Apify

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

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