Software Alternatives, Accelerators & Startups

Mangools VS Matplotlib

Compare Mangools VS Matplotlib and see what are their differences

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Mangools logo Mangools

Juicy SEO tools you will love: Keyword research, SERP analysis, rank tracking, backlink analysis, website SEO analysis.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Mangools Landing page
    Landing page //
    2023-06-29

We are Mangools! SEO tools for productive people. Our mission is to make SEO reachable for everyone from very beginners to true professionals thanks to a super user-friendly interface. Our tools, KWFinder, SERPChecker, SERPWatcher, LinkMiner and SiteProfiler were tried by more than 450k happy users from all over the world. You can extend the power of the Mangools SEO package directly in your browser with our extension which covers also some useful On-page SEO stuff.

KWFinder is one of the most popular keyword research tools on the market with the most relevant keyword difficulty score :)

  • Matplotlib Landing page
    Landing page //
    2023-06-14

Mangools features and specs

  • User-friendly Interface
    Mangools offers an intuitive and easy-to-navigate interface, making it accessible for beginners and non-technical users.
  • Affordability
    Compared to other SEO tools, Mangools offers competitive pricing plans, making it a cost-effective option for small businesses and freelancers.
  • All-in-one SEO suite
    Mangools includes a comprehensive set of tools such as KWFinder, SERPChecker, SERPWatcher, LinkMiner, and SiteProfiler, covering a wide range of SEO needs.
  • Accurate Keyword Research
    KWFinder is highly praised for its accuracy in keyword research, offering detailed metrics like search volume, keyword difficulty, and trends.
  • Competitor Analysis
    The suite features tools like SERPChecker and SiteProfiler that allow users to analyze competitor strategies and identify opportunities.
  • Customer Support
    Mangools is known for its excellent customer support, offering timely responses and comprehensive help documentation.
  • Frequent Updates
    The platform is continually updated with new features and improvements based on user feedback and industry trends.

Possible disadvantages of Mangools

  • Limited Advanced Features
    While it covers essential SEO needs well, Mangools lacks some advanced features present in more robust SEO tools like Ahrefs or SEMrush.
  • Data Limits
    All pricing plans come with usage limits (e.g., the number of keyword lookups or tracked keywords), which can be restrictive for larger projects.
  • No In-depth Site Audit
    Unlike some competitors, Mangools does not offer comprehensive site audit capabilities, which are crucial for detailed technical SEO analysis.
  • Limited Integration Options
    Mangools has limited integrations with other marketing or analytic tools, which can be a drawback for users looking for seamless workflows across platforms.
  • Geographic Data Limitations
    While it offers some geographic customization, the depth of localized data may not be as granular compared to other tools specialized in local SEO.

Matplotlib features and specs

  • Versatility
    Matplotlib can generate a wide variety of plots, ranging from simple line plots to complex 3D plots. This versatility makes it a go-to library for many scientific and technical visualizations.
  • Customization
    It offers extensive customization options for virtually every element of a plot, including colors, labels, line styles, and more, allowing users to tailor plots to meet specific needs.
  • Integrations
    Matplotlib integrates well with other Python libraries such as NumPy, Pandas, and SciPy, making it easier to plot data directly from these sources.
  • Community and Documentation
    It has a large, active community and comprehensive documentation that includes tutorials, examples, and detailed references, which can help users solve problems and improve their plot-making skills.
  • Interactivity
    Matplotlib supports interactive plots, which can be embedded in Jupyter notebooks and GUIs, allowing for dynamic data exploration and presentation.
  • Publication-Quality
    The library is capable of producing high-quality, publication-ready graphics that meet the stringent requirements of academic journals and professional presentations.

Possible disadvantages of Matplotlib

  • Complexity
    While Matplotlib offers extensive customization, it can be complex and sometimes unintuitive for beginners, requiring a steep learning curve to master all its functionality.
  • Performance
    Rendering a large number of plots or handling very large datasets can be slow, making Matplotlib less suitable for real-time data visualization.
  • Modern Aesthetics
    Out-of-the-box plots from Matplotlib can look somewhat dated compared to those from newer plotting libraries like Seaborn or Plotly, requiring additional customization to achieve a modern look.
  • 3D Plots
    Although Matplotlib supports 3D plotting, its capabilities are relatively limited and less sophisticated compared to specialized 3D plotting libraries.
  • Size and Structure
    The package is relatively large and can be slow to import. Its extensive structure can make finding specific functions and understanding the overall architecture challenging.

Analysis of Mangools

Overall verdict

  • Mangools is considered a reliable and effective SEO toolset suitable for individuals and businesses looking for accessible and affordable SEO solutions. Its combination of ease-of-use, versatility, and insightful data makes it a good choice for those new to SEO or those looking to streamline their digital marketing efforts.

Why this product is good

  • Mangools is widely regarded as a good SEO toolset due to its user-friendly interface, comprehensive features, and affordability. It provides essential tools such as KWFinder for keyword research, SERPChecker for analyzing search engine results pages, and SERPWatcher for tracking keyword rankings. The platform is particularly beneficial for small to medium-sized businesses and digital marketing professionals who need powerful yet accessible SEO tools without the complexity or high costs associated with more advanced platforms.

Recommended for

  • Small to medium-sized businesses
  • Freelancers
  • SEO beginners
  • Digital marketing professionals
  • Content creators

Analysis of Matplotlib

Overall verdict

  • Yes, Matplotlib is a good library for data visualization, particularly for users who require a versatile and powerful plotting solution in Python.

Why this product is good

  • Matplotlib is highly regarded due to its extensive customization options, versatility in creating a wide range of static, animated, and interactive plots, and its large user community and support. It integrates well with other scientific libraries in Python, making it a staple for data visualization. The library is also open-source and frequently updated, ensuring it remains a reliable choice for users.

Recommended for

  • Data scientists and analysts needing to create detailed, customized visual representations of their data.
  • Researchers and engineers looking for a comprehensive plotting library that supports scientific and engineering formats.
  • Python developers who require integration with other scientific computing libraries like NumPy and Pandas.

Mangools videos

Mangools Review 2020 ๐Ÿ”ฅ Plus 4 FREE Bonuses

More videos:

  • Review - Mangools SEO Tool Review 2018 - Is It Worth It?

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Mangools and Matplotlib)
SEO Tools
100 100%
0% 0
Data Science And Machine Learning
SEO
100 100%
0% 0
Technical Computing
0 0%
100% 100

User comments

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Reviews

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

Mangools Reviews

  1. Steward K.
    ยท Consultant at Tata Consultancy ยท
    Revolutionized my approach!

    Mangools has revolutionized my approach to SEO. Its user-friendly interface and robust features make tasks like keyword research and rank tracking effortless. With affordable pricing and responsive customer support, it's an indispensable tool for anyone serious about optimizing their online presence. Highly recommended for beginners and experts alike!

    ๐Ÿ‘ Pros:    Great customer support|Reasonable pricing
    ๐Ÿ‘Ž Cons:    Steep learning curve

10 Best SEO Tools for Small Businesses to Grow Online in 2026
Mangools built its reputation on KWFinder, the cleanest keyword difficulty scoring interface in the market. Keyword research for local SEO is where Mangools performs particularly well, since it surfaces low-competition local terms with clear volume data.
Source: clusterview.ai
10 SE Ranking Alternatives in 2025 [Free and Paid]
Users frequently commend Mangools for its ease of use and affordability, with many appreciating its focus on delivering actionable SEO data without overwhelming complexity. However, some note that Mangoolsโ€™ link analysis isnโ€™t as deep as SE Rankingโ€™s, making it less suited for advanced link-building efforts.
10 Moz Pro Alternatives in 2025 [Free and Paid]
Mangools is ideal for beginners and small businesses looking for an affordable SEO toolset. Its user-friendly interface and focused toolset make it accessible for those new to SEO who want to quickly and easily manage their SEO tasks.
The best alternatives to SE Ranking in 2024
Pricing: The cheapest plan costs โ‚ฌ29/month, but it is very limited. If you use it a bit, you will need to at least subscribe to the Mangools Basic plan for โ‚ฌ49 per month.
Source: dinorank.com
Comparing the Best Moz Alternatives for 2023
Mangools also offers a unique metric called "Keyword Difficulty" (KD), which measures the difficulty of ranking for a specific keyword on a scale of 0-100. This allows businesses to more effectively target keywords they have a higher chance of ranking for.

Matplotlib Reviews

25 Python Frameworks to Master
Matplotlib is a widely used tool for data visualization in Python. It provides an object-oriented API for embedding plots into applications.
Source: kinsta.com
5 Best Python Libraries For Data Visualization in 2023
You can use this library for multiple purposes such as generating plots, bar charts, histograms, power spectra, stemplots, pie charts, and more. The best thing about Matplotlib is you just have to write a few lines of code and it handles the rest by itself. Metaplotilib focuses on static images for publication along with interactive figures using toolkits like Qt and GTK.
15 data science tools to consider using in 2021
Matplotlib is an open source Python plotting library that's used to read, import and visualize data in analytics applications. Data scientists and other users can create static, animated and interactive data visualizations with Matplotlib, using it in Python scripts, the Python and IPython shells, Jupyter Notebook, web application servers and various GUI toolkits.
Top Python Libraries For Image Processing In 2021
Matplotlib is primarily used for 2D visualizations such as scatter plots, bar graphs, histograms, and many more, but we can also use it for image processing. It is effective to get information out of an image. It doesnโ€™t support all file formats.
Top 8 Python Libraries for Data Visualization
Matplotlib is a data visualization library and 2-D plotting library of Python It was initially released in 2003 and it is the most popular and widely-used plotting library in the Python community. It comes with an interactive environment across multiple platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application...

Social recommendations and mentions

Based on our record, Matplotlib should be more popular than Mangools. It has been mentiond 114 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.

Mangools mentions (20)

  • What is a browser plugin you would pay for?
    People pay for https://mangools.com/. Tons of custom extensions being written for companies out there. I just write my own, so likely not your target audience. Source: about 3 years ago
  • Rank Tracker using Google Sheet (Without any API )
    I had ranktracking in Google Sheets for a longtime but it quickly becomes messy and to be honest there are so many free or very cheap rank trackers now which also gives you a lot of other data which is very valuable. I would recommend a trank tracker like https://rankchecker.io and/or https://mangools.com/. Source: over 4 years ago
  • Liquidity crisis? Scam exchange.
    I've been using finance.yahoo.com and mangools.com (which relies on Google Ads data). Source: over 4 years ago
  • [For Hire] hiring someone to make an email bot $50 or more for the job. Needs someone skilled in programming and software.
    I want someone to create an email bot that searches for companies and emails them the message I want you to send with my affiliate link which of course I am not posting here. If you are wondering what the website is it is mangools.com which is a website that helps people improve their google page ranking. This can really help companies out so I would say that it is ethical to email them. Source: almost 5 years ago
  • Juicy SEO tools you will love
    You can use the following this link for Free trial:. Source: about 5 years ago
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Matplotlib mentions (114)

  • The soul file
    In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ€” the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
  • How to Analyze CSV Files with Python and Pandas
    Numbers are useful, but sometimes itโ€™s easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
  • libmalloc, jemalloc, tcmalloc, mimalloc - Exploring Different Memory Allocators
    We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago
  • Building an AI Scoring Agent: Step-By-Step
    NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
  • Top 5 GitHub Repositories for Data Science in 2026
    The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโ€ฆ. - Source: dev.to / 10 months ago
View more

What are some alternatives?

When comparing Mangools and Matplotlib, you can also consider the following products

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

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!

NumPy - NumPy is the fundamental package for scientific computing with Python

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

Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.