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Serpstat VS NumPy

Compare Serpstat VS NumPy and see what are their differences

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Serpstat logo Serpstat

Serpstat is the Swiss army knife for automating SEO processes. With a suite of powerful modules, you can track your performance, analyze your competitors, research keywords and backlinks, audit your website, and so much more.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Serpstat Landing page
    Landing page //
    2023-06-11
  • Serpstat Rank Tracker
    Rank Tracker //
    2024-09-19
  • Serpstat Domain Analysis
    Domain Analysis //
    2024-09-19

Dive deep into keyword research with Serpstat's keyword database, now bigger than ever with global coverage across 230 countries. Uncover the most valuable keywords for your business, understand search intent,  and optimize your content strategy

  • NumPy Landing page
    Landing page //
    2023-05-13

Serpstat

Website
serpstat.com
Pricing URL
Official Serpstat Pricing
$ Details
freemium $59.0 / Monthly
Release Date
2015 February
Startup details
Country
Ukraine
City
Odesa
Founder(s)
Oleg Salamaha
Employees
50 - 99
Edit details

NumPy

Website
numpy.org
Pricing URL
-
$ Details
Release Date
-
Edit details

Serpstat features and specs

  • Comprehensive SEO Toolkit
    Serpstat provides a wide range of SEO tools including keyword research, site audit, backlink analysis, rank tracking, and competition analysis, making it a one-stop solution for SEO needs.
  • User-Friendly Interface
    The platform features a well-organized and intuitive interface, making it accessible and easy to navigate even for beginners.
  • Affordable Pricing
    Compared to other SEO tools in the market, Serpstat is relatively affordable, offering a good balance between cost and features.
  • Detailed Analytics
    Provides in-depth analytics and reports, helping users make data-driven decisions for their SEO strategies.
  • Regular Updates
    The platform frequently updates its features and database to keep up with the latest SEO trends and requirements.
  • Excellent Customer Support
    Offers responsive and helpful customer support through various channels including live chat, email, and phone.

Possible disadvantages of Serpstat

  • Limited Data for Smaller Markets
    While Serpstat excels in many areas, its database may have limitations when it comes to less popular or smaller markets.
  • Learning Curve
    Despite its intuitive interface, the extensive range of features may require a learning curve for new users to fully utilize all its capabilities.
  • Speed Issues
    Some users have reported speed issues, particularly with loading times and data refresh rates, which can affect the overall user experience.
  • Backlink Data Limitations
    Backlink analysis features are less comprehensive compared to specialized tools like Ahrefs or Majestic, potentially limiting its effectiveness for advanced backlink research.
  • Mobile App Limitations
    The mobile app lacks some functionalities available on the desktop version, restricting user flexibility when accessing the platform on the go.
  • No Free Plan
    Serpstat does not offer a free plan, which may be a drawback for individuals or small businesses looking for a cost-free SEO solution.

NumPy features and specs

  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages of NumPy

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.

Analysis of Serpstat

Overall verdict

  • Overall, Serpstat is regarded as a solid option for both beginners and experienced SEO professionals who need a reliable tool to improve their website's search visibility and performance. Its competitive pricing, combined with a robust set of features, make it a popular choice in the SEO community.

Why this product is good

  • Serpstat is considered a good SEO tool by many users because it offers a wide range of features that help with keyword research, site audit, backlink analysis, rank tracking, and competitor research. It is especially valued for its comprehensive data and user-friendly interface. Additionally, it is often praised for its affordability compared to other SEO tools, making it accessible to small businesses and individual marketers.

Recommended for

    Serpstat is recommended for digital marketers, SEO professionals, content creators, and businesses of all sizes looking for a comprehensive yet affordable SEO tool to enhance their online presence and gain insights into their competitors.

Analysis of NumPy

Overall verdict

  • Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

  • NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

  • Scientists and researchers working with large-scale scientific computations.
  • Data scientists engaged in data analysis and manipulation.
  • Engineers and developers needing performance-optimized mathematical computations.
  • Educators and students in STEM fields.

Serpstat videos

+ Add

What is Serpstat?

More videos:

  • Review - SerpStat Review - My Favorite Free & Paid SEO Keyword Research Tools Perfect For Beginners
  • Review - Serpstat Review | Growth hacking tool for SEO | Pearl Lemon Reviews
  • Review - Serpstat Review ✅ Discount Coupon Code With( 20% Off Special)

NumPy videos

+ Add

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Category Popularity

0-100% (relative to Serpstat and NumPy)

Serpstat

NumPy

SEO
100 100%
SEO
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
SEO Tools
100 100%
SEO Tools
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

Questions and Answers

As answered by people managing Serpstat and NumPy.

What makes your product unique?

Serpstat's answer

The AI-powered features for content optimization and generation are particularly noteworthy, as they go beyond traditional SEO tools to assist with content creation and enhancement.

Why should a person choose your product over its competitors?

Serpstat's answer

With its focus on AI and continuous innovation, choosing Serpstat positions users to take advantage of emerging trends in digital marketing.

How would you describe your primary audience?

Serpstat's answer

Serpstat's primary audience includes digital marketers, agencies, in-house marketing teams, freelancers, content creators, and businesses looking to improve online visibility.

User comments

Share your experience with using Serpstat and NumPy. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Serpstat and NumPy

Serpstat Reviews

The 16 Best Moz Alternatives for Every Budget 
Serpstat is an affordable SEO tool with a one-week free trial. The only difference is that, unlike Moz, Serpstat doesn’t have a free version, so you’ll need to pick a paid plan once the trial is over.
Source: trafficthinktank.com
10 SE Ranking Alternatives in 2025 [Free and Paid]
Serpstat offers a balanced approach to SEO, blending competitive analysis with a user-friendly interface, making it suitable for users who want to combine keyword research with site audits and content strategies. Its unique features like the “Tree View” make it ideal for those looking to enhance their website architecture alongside their SEO efforts.
Source: www.madx.digital
10 Moz Pro Alternatives in 2025 [Free and Paid]
Serpstat provides advanced tools for users looking to perform detailed SEO analysis and competitor research. Its extensive features make it ideal for those who need comprehensive insights into their website’s performance.
Source: www.madx.digital
Top 6 Moz Competitors In 2024: A Detailed Review
Furthermore, Serpstat is praised for its versatile functionality. It provides valuable insights across multiple facets of digital marketing. It’s also particularly noted for its comprehensive competitor analysis and budget-friendly pricing.
Source: www.flyingvgroup.com
10 Best Serpstat Alternatives in 2024
In the fast-paced world of SEO and digital marketing, finding the right tool to boost your online visibility can be challenging. Serpstat is a popular choice known for its robust features in keyword research, competitor analysis, and SEO audits. However, if you're seeking alternatives that might better meet your specific needs or offer different advantages, there are plenty...
Source: www.geeksforgeeks.org

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
Source: www.analyticsvidhya.com
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than Serpstat. While we know about 119 links to NumPy, we've tracked only 5 mentions of Serpstat. 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.

Serpstat mentions (5)

  • 10 BEST FREE SEO REPORTING TOOLS
    SERPstat: Provides a range of SEO features, including keyword research, competitor analysis, rank tracking, site audit, backlink analysis, and more. Source: almost 2 years ago
  • Best alternatives to SEMRush?
    Https://raventools.com - used it waaay back, since been acquired by TapClicks -not sure if that's a good thing or a bad thing Https://serpstat.com - see this one get mentioned quite a bit; never used tho Https://www.link-assistant.com - has been around for a while Https://seranking.com - has grown beyond just ranking tools Https://cognitiveseo.com - I've heard some decent SEOs rave about this... Source: about 2 years ago
  • SEO Tools Megathread
    Serpstat - A comprehensive SEO tool that offers keyword research, rank tracking, site audit, and backlink analysis. Pricing starts at AUD $103.20/month. Link: https://serpstat.com/. Source: over 2 years ago
  • Traffic from a site your not associated with?
    Hello, you might wanna use serpstat.com , it's a website that measures traffic of other websites, copy paste your URL and you should be able to see all the data it can read. Source: over 3 years ago
  • Why add coins/tokens which have NO large interest from consumers
    Some coins/tokens on Binance and keyword search volume per month according to Google Ads - I use serpstat.com. Source: over 4 years ago

NumPy mentions (119)

  • Building an AI-powered Financial Data Analyzer with NodeJS, Python, SvelteKit, and TailwindCSS - Part 0
    The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 5 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / 9 months ago
  • Intro to Ray on GKE
    The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 9 months ago
  • Streamlit 101: The fundamentals of a Python data app
    It's compatible with a wide range of data libraries, including Pandas, NumPy, and Altair. Streamlit integrates with all the latest tools in generative AI, such as any LLM, vector database, or various AI frameworks like LangChain, LlamaIndex, or Weights & Biases. Streamlit’s chat elements make it especially easy to interact with AI so you can build chatbots that “talk to your data.”. - Source: dev.to / 10 months ago
  • A simple way to extract all detected objects from image and save them as separate images using YOLOv8.2 and OpenCV
    The OpenCV image is a regular NumPy array. You can see it shape:. - Source: dev.to / 10 months ago
View more

What are some alternatives?

When comparing Serpstat and NumPy, you can also consider the following products

Moz - Backed by industry-leading data and the largest community of SEOs on the planet, Moz builds tools that make inbound marketing easy.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

SEMRush - All-in-one Marketing Toolkit for digital marketing professionals.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Ahrefs - Ahrefs is a toolset for SEO and marketing. We have tools for backlink research, organic traffic research, keyword research, content marketing & more. Give Ahrefs a try!

OpenCV - OpenCV is the world's biggest computer vision library

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