Software Alternatives & Startups

Matplotlib VS Eat This Much

Compare Matplotlib VS Eat This Much and see what are their differences

Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...

Rating
0 reviews
Pricing
Open source
Eat This Much

Eat This Much is an app that helps with meal planning for the week or the month.

Rating
0 reviews
Pricing
Freemium Free trial $5 / Monthly
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, Matplotlib should be more popular than Eat This Much. It has been mentioned 114 times since March 2021.

social mentions
114 vs 49
Data Science And Machine Learning popularity
100% vs 0%

Base details

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

Matplotlib
Eat This Much
Website matplotlib.org eatthismuch.com
Pricing
Open source
Freemium Free trial $5 / Monthly Official pricing
Platforms —
Browser iOS Android Web +1
Company — Startup from the United States
Listed in

Features and specs

What each product offers, as listed by its team.

Matplotlib 6 features
Eat This Much 5 features
  • 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

  • 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.
  • Customizable Meal Plans
    Eat This Much allows users to create meal plans tailored to their dietary preferences, calorie goals, and nutritional needs. This customization aids in achieving personal health and fitness objectives.
  • Automation
    The app automatically generates meal plans and grocery lists, saving users time and effort in planning meals and shopping.
  • Nutritional Information
    Each meal and recipe comes with detailed nutritional information, helping users stay informed about their intake.
  • Recipe Variety
    Eat This Much offers a diverse range of recipes, catering to different cuisines and dietary restrictions such as vegan, keto, paleo, and gluten-free.
  • User-Friendly Interface
    The app features an intuitive and easy-to-navigate interface, making meal planning accessible even for beginners.

Possible disadvantages

  • Cost
    While Eat This Much offers a free version, many advanced features require a subscription, which might be a barrier for some users.
  • Limited Customization for Free Users
    The free version has limited customization options for meal plans, which may restrict users from fully tailoring their dietary needs.
  • Complex Recipes
    Some recipes can be complex and time-consuming, which may not suit users looking for quick and simple meal options.
  • Ingredient Availability
    Not all ingredients listed in the app's recipes may be locally available or easy to find, which can pose a challenge for some users.
  • Dependence on Internet
    The app requires an internet connection for generating meal plans and accessing recipes, limiting its usability in offline scenarios.

Analysis

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

Matplotlib
Eat This Much

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.

Overall verdict

  • Overall, Eat This Much is a good tool for individuals looking to streamline their meal planning process and achieve their nutritional goals. Its flexibility and customization options make it a valuable resource for various dietary needs.

Why this product is good

  • Eat This Much is a meal planning website designed to help users create personalized meal plans based on their dietary preferences, calorie goals, and nutritional needs. It uses algorithms to generate meal suggestions that can save time and reduce the stress of deciding what to eat. The site is particularly useful for those who want to control portions, track calories, or adhere to specific diets such as keto, vegan, or paleo.

Recommended for

  • Individuals looking to lose, maintain, or gain weight through controlled meal planning.
  • Busy people who want to save time on planning meals and grocery shopping.
  • Those adhering to specific diets such as ketogenic, vegan, vegetarian, or paleo.
  • People who are new to meal prepping and need guidance on portion control and nutrient balance.

Videos

Walkthroughs and reviews on video.

Matplotlib 1 video + Add
Eat This Much 3 videos + Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Eat This Much Review » Most Comprehensive (NOT an Affiliate)

More videos

  • - Weekly Meal Planning? EAT THIS MUCH REVIEW | #stayclever
  • - Eat This Much Review

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
Matplotlib
Eat This Much
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

User comments

Share your experience with using Matplotlib and Eat This Much. 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.

Matplotlib no reviews yet
Eat This Much no reviews yet

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Matplotlib 114 mentions
Eat This Much 49 mentions
  • The soul file
    In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib — the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review.... - Source: dev.to / 7 months ago
  • How to Analyze CSV Files with Python and Pandas
    Numbers are useful, but sometimes it’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... - Source: dev.to / 10 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 / 10 months ago

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  • I would like to lose weight-
    If you do just want to dive into something, then I would suggest starting with a calorie target of 10-12 calories per current lb of bodyweight. So, if you weigh 170 lbs for example, your calorie budget would fall between 1700-2040... Source: over 3 years ago
  • Losing fat short girls?!
    PS: you asked the other poster about recipe sites. If I look for inspiration I love eatthismuch.com. Because I can enter a calorie target, what I like and dont like, and it will show me ideas. Only use it for single meals though,... Source: over 3 years ago
  • How do you gain weight with this thing?!
    I use tdeecalculator.net to figure out what my intake should be and then plug that into eatthismuch.com to help me figure out foods to eat. Unfortunately, there is no option to take away acid reflux meals or meals with dairy, but if you... Source: over 3 years ago

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Alternatives to Matplotlib and Eat This Much

When comparing Matplotlib and Eat This Much, you can also consider the following products.