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Glimpse VS Matplotlib

Compare Glimpse VS Matplotlib and see what are their differences

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Glimpse logo Glimpse

Discover trends before they're trending

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Glimpse Landing page
    Landing page //
    2023-10-21

Use the code saashub for 50% off your first month

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

Glimpse

$ Details
freemium $49.0 / Monthly (Pro)
Platforms
Google Chrome
Release Date
2022 February

Glimpse features and specs

  • Absolute Search Volume
  • Trend Discovery
  • People Also Search
  • Channel Breakdown
  • Trend Trajectory
  • Trend Forecasting
  • Topic Map
  • Data Export (Google Sheets / Excel)
  • Google Search Console Sync
  • Amazon Search Data
  • Trend Alerts
  • Seasonality

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 Glimpse

Overall verdict

  • Glimpse is a valuable tool for those interested in gaining a competitive edge through trend analysis. Its focus on emerging trends and consumer insights makes it a good resource for businesses seeking to innovate and adapt to changes in consumer behavior and market dynamics.

Why this product is good

  • Glimpse (meetglimpse.com) specializes in providing insights into emerging consumer trends by analyzing various data sources. It offers an innovative approach for businesses and individuals looking to stay ahead of market changes by identifying and capitalizing on new opportunities. The platform's data-driven insights are valuable for making informed decisions, devising strategies, and understanding potential future trends in various industries.

Recommended for

    Entrepreneurs, marketers, product developers, and business strategists who want to leverage data-driven insights to identify and capitalize on emerging trends and market opportunities.

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.

Glimpse videos

Glimpse Review - with Tom Vasel

More videos:

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Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Glimpse and Matplotlib)
Trends
100 100%
0% 0
Data Science And Machine Learning
Search Trends
100 100%
0% 0
Technical Computing
0 0%
100% 100

Questions & Answers

As answered by people managing Glimpse and Matplotlib.

What makes your product unique?

Glimpse's answer

Glimpse leverages a proprietary algorithm that doesnโ€™t have the lag that other search volume data providers have. Other providers have a number of issues, including lag time and bundling similar keywords together, which decrease the accuracy of their estimates. This is especially important for trends - for example, many of the other tools showed โ€œchatgptโ€ having 0 or minimal search volume in mid-January 2023 when Glimpse showed it having 4M searches. Google Trends data doesn't suffer from these issues, and Glimpse's data is the only source that aligns with Google Trends.

User comments

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Reviews

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

Glimpse Reviews

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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 Glimpse. 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.

Glimpse mentions (16)

  • Advices on making money online.
    If you want to build something instead, I suggest taking a look at indie hackers to see what other people are doing or using a tool like glimpse to find trends before they pop-off and build a solution to those things. Source: almost 3 years ago
  • What job would be the best for someone just getting into Computer Science?
    The most valuable and impressive thing you can do is build a business. Hands down. Especially if it makes money. That will show you're not just a cog in the wheel but able to critically think and have valuable practical skillsets. I would experiment with something that has tailwinds. Like an AI business, or a VR business once the new apple VR app store comes out. you'd be shocked at how much you can make... Source: about 3 years ago
  • I want to help entrepreneurs start successful businesses
    For example; trends.co is not very good because the people that write for them are journalists, not business owners so although the writing is good, the ideas are poorly researched. On the other hand, meetglimpse.com is pretty good, they have nuanced and unique business ideas that you can take advantage of but the market research behind it is a little lacking, their chrome extension tool is great tho. And then... Source: about 3 years ago
  • What realistic online business could I start these days with 5000$
    a lot of things. I've built 3 online businesses that were profitable with under $1000. it's really just a hustle once you get product market fit. Starting something online shouldn't take that much money if you know how to test it. Check out like trends.vc, explodingideas.co, meetglimpse.com etc. They may be able to spark your creativity for ideas that could be good opportunities for the price point. Source: about 3 years ago
  • Underrated/lesser known side hustles?
    Great idea. You should scrape ideas from meetglimpse.com, explodingideas.co, trends.co and the other sites that post ideas. Would be an easy way to bulk up the document. Source: about 3 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
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What are some alternatives?

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

Exploding Topics - Get inspirations for blog posts, startup projects, cocktail conversations and beyond on Trennd, the one-stop aggregator for emerging search and social trends.

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

Google Trends - Explore Google trending search topics with Google Trends.

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

Widgeridoo - Custom and pre-made widgets for iOS and macOS

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