Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Canva
Adobe Photoshop
PicMonkey
Piktochart
Marq
VistaCreate
Figma
Adobe Express
Canva is a web-based design platform allowing users to quickly and easily create stunning visuals. With various templates and tools, businesses can create professional designs for social media posts, presentations, flyers, and more. Canva also allows users to save templates and collaborate with other designers, making it great for teams working together on projects. Not only is Canva easy to use, but it is also affordable, making it an excellent option for businesses on a budget. Use Canva Teams to connect with your team members and work on a project from different locations, making tracking progress and managing deadlines easy. You can also upload and store files, assign tasks, and communicate with each other in one centralized place. With Canva Teams, you can quickly and easily create stunning visually pleasing visuals that effectively communicate the project's message.
Matplotlib CanvaCanva is one of the most accessible design platforms available today. It significantly lowers the barrier to creating presentations, social graphics, marketing materials, and even short videos.
The interface is intuitive, especially for non-designers. Templates are well organized, and collaboration features make it practical for teams.
Strengths: - Very easy to use - Large template library - Strong collaboration tools - Fast cloud-based workflow
Limitations: - Advanced layout control is sometimes restricted - Heavier projects can feel limited compared to professional desktop tools
Overall, Canva succeeds at simplifying design for everyday creators while maintaining enough flexibility for professional use cases.
Iโve been using Canva for everything from social media graphics to presentations and simple flyers, and itโs one of the most accessible design tools Iโve encountered. The drag-and-drop interface makes it really easy to produce clean, visually appealing designs even if you donโt have a background in graphic design. The huge template and asset library means I rarely start from scratch.
It integrates well with cloud storage and collaborative editing, which makes working with team members or clients straightforward. For quick turnaround projects, Canva gets me from idea to finished design in minutes โ no steep learning curve.
That said, some of the better assets and premium features (like certain templates, background removers, and export options) are locked behind Canva Pro, which adds ongoing cost. And while Canva is excellent for basic to intermediate design, it doesnโt replace professional tools like Adobe Illustrator or InDesign when you need fine-tuned control or advanced features.
Overall, Canva is a fantastic tool for fast, easy design work โ especially for non-designers
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Based on our record, Canva should be more popular than Matplotlib. It has been mentiond 227 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.
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
Numbers are useful, but sometimes itโs 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
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 / 7 months ago
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 8 months ago
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, Aโฆ. - Source: dev.to / 10 months ago
If you're a designer, then design the bot in applications like Canva or Figma. - Source: dev.to / 5 months ago
Chances are, youโve used Canva โ maybe to whip up a poster, design an Instagram story, or create something that just looks good without breaking being a professional designer. - Source: dev.to / about 1 year ago
Canva Canva.com Drag-and-drop design platform with free templates for social media, presentations, and more. - Source: dev.to / over 1 year ago
Imagine shuffling papers on a desk. Even though the desk is flat, papers stack in layersโsome on top, others below. That's exactly what z-index does on websites. If you're familiar with tools like Canva, PowerPoint, Photoshop, or Figma, you know this feature as "Send to Back" or more accurately, "Arrange" or "Position". - Source: dev.to / over 1 year ago
I'm continuing to use Adobe's Creative Cloud. Photoshop, Illustrator, and Premiere Pro are tools that I already know my way around so I'm keeping those close. I know that many people love how quick and easy it is to get something done with tools like Canva or Figma. I think whatever you are comfortable with and enables you to move fast you should keep using. - Source: dev.to / over 1 year ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Adobe Photoshop - Adobe Photoshop is a webtop application for editing images and photos online.
NumPy - NumPy is the fundamental package for scientific computing with Python
PicMonkey - PicMonkey is a feature-rich online photo editor that works right in your browser; no downloads...
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
Piktochart - Piktochart for Business Storytelling