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NumPy VS KeywordTool.io

Compare NumPy VS KeywordTool.io and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

KeywordTool.io logo KeywordTool.io

KeywordTool.io is the best FREE alternative to Google Keyword Planner and Ubersuggest. It uses Google's autocomplete feature to get over 750+ long-tail keywords for any given query.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • KeywordTool.io Landing page
    Landing page //
    2022-10-14

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.

KeywordTool.io features and specs

  • Ease of Use
    KeywordTool.io features a user-friendly interface that makes it simple for beginners and experts alike to perform keyword research.
  • Multiple Platforms
    It supports multiple platforms including Google, YouTube, Bing, Amazon, and more, allowing users to gather keywords from various sources.
  • Keyword Suggestions
    The tool provides extensive keyword suggestions, enabling users to uncover long-tail keywords that might be missed by other tools.
  • Localization
    It offers keyword research for different countries and languages, making it versatile for global SEO campaigns.
  • Export Feature
    Users can easily export their keyword lists into CSV format for further analysis and tracking.

Possible disadvantages of KeywordTool.io

  • Free Version Limitations
    The free version has limited features and does not provide complete data, which can restrict its usefulness for in-depth research.
  • Pricing
    The pricing plans can be relatively high compared to other keyword research tools, which might be a barrier for small businesses or individual users.
  • Data Depth
    The tool may not offer as much in-depth data on search volume, competition, and trends compared to more comprehensive tools like Ahrefs or SEMrush.
  • Customer Support
    Some users report that the customer support could be more responsive and helpful, which can be a drawback when encountering issues.
  • No Backlink Analysis
    KeywordTool.io primarily focuses on keyword research and does not offer backlink analysis, which is a crucial aspect of SEO for many users.

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.

Analysis of KeywordTool.io

Overall verdict

  • KeywordTool.io is a reliable and efficient tool for keyword research, particularly for those who need quick, diverse, and relevant keyword suggestions based on Google Autocomplete. Its ability to generate a broad list of keywords makes it a good choice for marketers and content creators looking to enhance their online visibility.

Why this product is good

  • KeywordTool.io is regarded as a useful tool for generating keyword ideas by leveraging Google Autocomplete. It's appreciated for its ease of use and ability to provide a large variety of keyword suggestions for SEO, content creation, and PPC campaigns. The tool offers country and language-specific keyword ideas and supports multiple platforms like Google, YouTube, Bing, Amazon, Instagram, and more.

Recommended for

    This tool is recommended for digital marketers, SEO specialists, content creators, bloggers, and PPC advertisers who are looking for a quick and efficient way to brainstorm keyword ideas and gain insights into search trends across multiple platforms.

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

KeywordTool.io videos

+ Add

Keywordtool.io Review: Best Keyword Research Tool in SEO

More videos:

  • Review - KeywordTool.io Review | An Alternative Keyword Research Tool [CC]

Category Popularity

0-100% (relative to NumPy and KeywordTool.io)

NumPy

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Data Science And Machine Learning
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SEO Tools
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Data Science Tools
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SEO
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User comments

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Reviews

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

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

KeywordTool.io Reviews

We have no reviews of KeywordTool.io yet.
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Social recommendations and mentions

Based on our record, NumPy should be more popular than KeywordTool.io. It has been mentiond 119 times since March 2021. 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.

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

KeywordTool.io mentions (16)

  • 120 Blog-Posts: One gets 83% of the search traffic (3k/month). What now?
    Thank you! At that time I used ahrefs but I think in my situation it is too expensive for me rn (since my SEO "casestudy" which got a real business for me, I got 3 clients for SEO, so wanna grow a lil bit and than buy ahrefs). So I use: - Google Keywordplanner, Trends and Google itself - ChatGPT (Webpilot Plugin) - keywordtool.io (only free, not paid) - ahrefs keyword Generator - other Blogs and Websites in... Source: almost 2 years ago
  • API Keyword service that can return search volume?
    I've checked https://keywordtool.io/ but 50 API Requests Per Day for their most expensive plan is a deal breaker, it needs to be in the thousands at least. Source: about 2 years ago
  • How to get a CPC of over 50 USD on YouTube? Is it even possible?
    Two days ago I had a CPC of over 33 USD I got only 300 views yet Made a total of 1.92 USD that day which made me wonder how can I get a CPC of over 50 USD. Saw an article on medium guy who said he made 20k USD with only 750 k views and claimed to have over 100 USD CPC is that even possible? Now here is the strange part I used keywordtool.io to search for my main target keyword which is Reddit and it said my CPC... Source: over 2 years ago
  • Reverse Engineering - HELP
    How do sites like this calculate the various values? Source: over 2 years ago
  • 10 Tips on How to Write a Great SEO-Friendly Blog Post
    Use a keyword research tool first. You may learn more about what people are searching for and how popular those questions are by visiting websites like Keyword Tool, Google Keyword Planner, or Ubersuggest. Source: over 2 years ago
View more

What are some alternatives?

When comparing NumPy and KeywordTool.io, you can also consider the following products

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

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!

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

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

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

Keywords Everywhere - Free browser add-on for keyword volume, CPC & competition

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