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

Todoist
TickTick
Remember The Milk
Things
Trello
Google Tasks
Asana
The #1 task management app used by over 11 million people globally, Any.do is your free mobile and online task manager for Android, iPhone, Web and more.

Which is more popular?
Based on our record, Matplotlib should be more popular than Any.DO. It has been mentioned 114 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | matplotlib.org | any.do |
| Pricing | — | |
| Company | — | Startup from Israel |
| Listed in |
What each product offers, as listed by its team.


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


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
Any.DO is recommended for individuals looking for a straightforward task management solution, busy professionals needing to organize work and personal tasks, and those who benefit from collaborative features for team projects.
Walkthroughs and reviews on video.
Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial
Any.DO Task + Calendar Manager: Revisited
More videos
How often each product is chosen within a category, 0–100% relative to the other.


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


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...
Any.do boasts an easily navigable interface, facilitating on-the-go creation of your daily plan. You can enhance your list with notes, attachments, and prioritize tasks using color-coded labels.
Any.do will help you to organize your tasks, lists and reminders in one easy-to-use app. It allows you to have personalized themes, task color coding and collaboration. Projects can be streamlined into tasks and color...
Any.do is another popular task management app that's been around for years. It has a simple interface that belies its complexity, with deep organizational options for managing daily to-dos, calendar tasks, projects,...
Recommendations tracked on public social media and blogs since March 2021.


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
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
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 / 11 months ago
Best thing it has over any.do is that you have 3 types of entities: tasks, recurring tasks and habits. Source: over 3 years ago
I used to use any.do + loop habit, but Habitnow has features from both of them. Source: over 3 years ago
A. Add reminders to the simple todo list in notion (so I can use it instead of any.do etc). Source: over 3 years ago
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NumPy is the fundamental package for scientific computing with Python
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Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
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