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DataMelt VS SerpApi

Compare DataMelt VS SerpApi 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
Promote on VibeVoted
Alternatives Is it good?
SerpApi

Access real-time results from Google and 100+ search engines with a simple API. No proxies, CAPTCHAs, or parsing required.

Rating
0 reviews
Pricing
Freemium
Promote on VibeVoted
Alternatives Is it good?
boldrouter
A unified, OpenAI-compatible gateway to every major LLM provider. One endpoint, one key, one bill - with automatic routing and failover. 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, SerpApi seems to be more popular. It has been mentioned 107 times since March 2021.

social mentions
0 vs 107
Technical Computing popularity
100% vs 0%
alternatives listed
44 vs 240+

Base details

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

DataMelt
SerpApi
Website datamelt.org serpapi.com
Pricing
Open source Freemium Free trial
Freemium Official pricing
Platforms
Linux Windows Mac OSX Java Cross Platform +2
—
Company 2020 Startup from the United States · 50 - 99 employees
Listed in
Technical Computing Numerical Computation Data Dashboard Machine Data Analytics Statistics Data Visualization Predictive Analytics +4
APIs Search API Developer Tools SEO SEO Tools SERP Rank Tracker Content Marketing +4

About DataMelt and SerpApi

In their own words, as submitted to SaaSHub.

DataMelt
SerpApi

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

We help you automate gathering data from search engines like Google, Bing, or Yahoo. What's cool about SerpApi is that it handles all the scraping complexities for you, like dealing with CAPTCHAs, managing IP addresses, and parsing data into a structured JSON. So you don't have to worry...

Read more about SerpApi

Features and specs

What each product offers, as listed by its team.

DataMelt 5 features
SerpApi 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.
  • Comprehensive Data Extraction
    SerpApi provides a powerful and easy-to-use API for extracting search engine results, allowing users to access a wide variety of data types such as ads, maps, organic results, and more from multiple search engines.
  • Real-time Data
    The API is designed to retrieve real-time search results, which is crucial for applications that rely on up-to-date information, such as market research and competitive analysis.
  • Easy Integration
    SerpApi offers detailed documentation and client libraries in multiple programming languages, simplifying the integration process for developers across different platforms.
  • Scalability
    SerpApi is able to handle large volumes of requests, making it suitable for businesses of various sizes, from startups to large enterprises needing to gather extensive data.
  • Automated Billing
    The platform provides automated billing and usage management which ensures that businesses can easily manage their costs and understand their data usage.

Analysis

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

DataMelt
SerpApi

No analysis of DataMelt yet.

Overall verdict

  • Overall, SerpApi is regarded as a reliable and efficient tool for accessing real-time search engine data, particularly beneficial for developers and businesses focused on SEO, market research, and data-driven decision making.

Why this product is good

  • SerpApi, a provider of Google Search API services, is considered good due to its ability to bypass search result scraping challenges by providing reliable and real-time search data with a simple interface. It also offers comprehensive support for various types of searches including images, news, and shopping. Its robust documentation, active customer support, and continuous updates to accommodate changes in search engine algorithms further enhance its reputation.

Recommended for

  • SEO professionals who need accurate and up-to-date search engine results.
  • Developers who want to integrate search functionalities into their applications without dealing with scraping issues.
  • Market researchers looking for insights into search trends and consumer behavior.
  • Businesses that need to monitor their online presence or competitors’ performance on search engines.

Videos

Walkthroughs and reviews on video.

DataMelt 0 videos + Add
SerpApi 3 videos + Add

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

OpenAI Function Calling - Connect AI to the Internet

More videos

  • - Scrape Google Search using Python
  • - Scrape Google Maps reviews data using Python

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
SerpApi
100% 100%
Technical Computing
0% 0%
0% 0%
APIs
100% 100%
100% 100%
Office & Productivity
0% 0%
0% 0%
Web Scraping
100% 100%

Questions & Answers

As answered by people managing DataMelt and SerpApi.

How would you describe the primary audience of your product?

DataMelt's answer

students and data scientists

SerpApi's answer:

Developers/Companies who need data from search engines.

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.

SerpApi's answer:

Back in 2017, Julien Khaleghy, the founder of SerpApi, built an iOS app that can analyze data from a picture. iOS didn't have a proper machine learning framework back then. It was challenging: iPhones' RAM were limited, no GPU or no dedicated chip acceleration were available, using only CPU was painfully slow, and compiling/porting C code from machine learning framework like Tensorflow or Caffe to iOS wasn't straightforward. Oddly, all of this wasn't the most difficult part of this project. Collecting images from Google Images was.

In these projects, 80% of his time ended up being spent on scraping and parsing Google Images. And maybe only 20% on actual machine learning model training, UI design of the actual apps, and iOS programming. This is how SerpApi was born.

What makes your product unique?

DataMelt's answer

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

SerpApi's answer:

We're the first web scraping company that focus on scraping search engines.

Why should a person choose your product over its competitors?

DataMelt's answer

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

SerpApi's answer:

We provide more search engines under one subscription.

Who are some of the biggest customers of your product?

DataMelt's answer

Students at universities and data scientists.

SerpApi's answer:

  • Airbnb
  • Nvidia
  • Meta
  • Shopify
  • Grubhub
  • and more!

Which are the primary technologies used for building your product?

DataMelt's answer

Java (JDK any new new release including JDK20)

SerpApi's answer:

Ruby on Rails and MongoDB

User comments

Share your experience with using DataMelt and SerpApi. 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
SerpApi 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 SerpApi 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
SerpApi 107 mentions

Tracking DataMelt since Mar 2021.

  • Markdown vs. JSON: Which Response Format Should You Use?
    > > _Ways to get Markdown output_ An application can use different response formats for different tasks. For example, a research agent could consume Markdown for a broad search-and-summarize step, while a separate data collection... - Source: dev.to / 3 days ago
  • Ask HN: Who is hiring? (November 2026)
    SerpApi | https://serpapi.com | Junior to Senior Fullstack Engineer multiple positions | Customer Success Engineer | Hiring Coordinator | Python/Ruby/PHP/Js/Rust/Kotlin/C#/Crystal/Nim/Elixir Developer Advocate positions | Based in... - Source: Hacker News / 8 days ago
  • I turned my inbox into a graveyard. 199 ghosts rose, and one had been silent for 7.8 years
    Breach list: Have I Been Pwned (CC BY 4.0). Delete links: JustDeleteMe (MIT). Model: Gemma, run with Ollama. Live search: SerpApi. The film's voice is from Fish Audio, which isn't open source; its music and sound effects come from the... - Source: dev.to / 10 days ago

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