Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Piktochart
Canva
PicMonkey
Marq
Adobe Photoshop
Sketch
Adobe Illustrator
VistaCreate
Piktochart is an infographic tool to help you present your presentations, pitches, proposals, data visualizations, charts, timelines, structure, process related visuals and diagrams in a compelling way.
Matplotlib PiktochartPiktochart is recommended for educators, marketers, small businesses, and non-profit organizations that need to communicate information effectively through visual content. It is also suitable for individuals looking to create professional presentations, reports, or infographics for personal or professional projects.
Based on our record, Matplotlib seems to be a lot more popular than Piktochart. While we know about 114 links to Matplotlib, we've tracked only 4 mentions of Piktochart. 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
Piktochart: Piktochart is another powerful tool for infographic creation, offering a range of customizable templates and easy-to-use design features. It provides an intuitive interface for adding charts, maps, icons, and more. - Source: dev.to / almost 3 years ago
Frontend Tech Lead, Senior Frontend Developer | Remote in Europe | 4-day work week SaaS |Visual communications app https://piktochart.com/ Here's a little information about our culture. - Source: Hacker News / almost 5 years ago
Picktochart - Data visualizations are always helpful when you're trying to communicate certain aspects of product usage in relation to something else. - Source: dev.to / over 5 years ago
Piktochart is a graphic design platform helping brands deliver visually appealing content. With Piktochart, one can create beautiful infographics, on-point presentations, as well as easily digestible reports. Source: over 5 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Canva - Canva is a graphic-design platform with a drag-and-drop interface to create print or visual content while providing templates, images, and fonts. Canva makes graphic design more straightforward and accessible regardless of skill level.
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.
Marq - Marq (formerly Lucidpress) is a web-based design and layout application that enables anyone to create beautiful creatives
