
Hevy
Fitbod
MyFitnessPal
JEFIT
Freeletics
Strava
FitNotes
Strenght training logger.

Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
matplotlib is a python 2D plotting library which produces publication quality figures in a variety...

Which is more popular?
Based on our record, Matplotlib seems to be a lot more popular than Strong.app. While we know about 114 links to Matplotlib, we've tracked only 3 mentions of Strong.app.
Website, pricing, platforms and company facts side by side.
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| Website | strong.app | matplotlib.org |
| Pricing | — | |
| Company | Startup from the United States | — |
| Listed in |
What each product offers, as listed by its team.


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


No analysis of Strong.app yet.
Overall verdict
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Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Strong.app and Matplotlib. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


The aptly named “Strong” is a simple but effective weightlifting app, offering an intuitive way to track and record your workouts. Available on Apple Watch as well as mobile devices, its value proposition is quite...
Strong: Exercise Gym Log is a gym log similar to FitNotes. You can input all of your exercise routines and track them over time. It includes some unique tools like a warm-up calculator and tips on how to improve...
Matplotlib is a widely used tool for data visualization in Python. It provides an object-oriented API for embedding plots into applications.
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...
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...
Recommendations tracked on public social media and blogs since March 2021.


I'm using Strava to track endurance work and strong.app for lifting. I'm pretty happy with Strong, but it is a subscription app if you want to save more than three custom workout routines (they also have some of the popular beginner... Source: over 4 years ago
You should all workouts with a app like strong.app or any other you find. Fitbod also seems to have good stuff now. Check their reviews etc. Source: almost 5 years ago
Looks like a great app! I run 5/3/1 and this is perfect. Currently I use https://strong.app but I'd love to see a way to see my weekly volume per muscle group. Is that something you are planning to add on Hardy? - Source: Hacker News / about 5 years ago
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 / 6 months ago
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 / 9 months ago
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
When comparing Strong.app and Matplotlib, you can also consider the following products.

Simple workout logging, insightful analytics, and a growing community of gym athletes.
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Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
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Personalized Strength-Training powered by Machine Learning
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NumPy is the fundamental package for scientific computing with Python
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Track the number of calories that you consume each day with MyFitnessPal. The app also lets you create a diet and track the exercise that you complete each day whether it's walking, running or some other type of program.
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Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
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