
Laravel
CodeIgniter
Django
Ruby on Rails
CakePHP
Yii Framework
Node.js
ExpressJS
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Laravel
MatplotlibBased on our record, Laravel should be more popular than Matplotlib. It has been mentiond 256 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.
Somewhere in the Laravel app you're running right now, there's a good chance an HTTP call goes out to OpenAI, Anthropic, or a local model. A chat feature, a summarizer, an agent that triages support tickets. Laravel 13 shipped in March 2026 with first-party AI primitives and the framework now literally brands itself as being for "Artisans and agents". The application layer has never been easier. - Source: dev.to / about 1 month ago
I have written about Bloom Filters before in Bloom Filters Applied In Real Life Application - Laravel Prototype and made a prototype for it using Laravel. - Source: dev.to / about 2 months ago
# Laravel's homepage through the years Wayback-video https://laravel.com --scroll --interval year --crossfade 0.4 # Wikipedia, month by month, over its first decade Wayback-video https://wikipedia.org --scroll --interval month --from 2001 --to 2010 # Fast mode: Wayback's pre-captured PNGs only, no browser needed Wayback-video https://mozilla.org --wayback-screenshot year --scroll. - Source: dev.to / 2 months ago
A common way to implement DDD in Laravel is to organize the app/ directory into three primary layers:. - Source: dev.to / 3 months ago
This post walks through how to build an Ansible repo to manage a production DigitalOcean setup: two Ubuntu droplets, six Laravel apps, a couple of PHP framework sites, and a Go microservices platform. The goal is to codify everything that was previously managed via manual SSH, without replacing the Deployer workflow that already handles app releases. - Source: dev.to / 5 months ago
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 / 5 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 / 8 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 / 9 months ago
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 10 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 / 11 months ago
CodeIgniter - A Fully Baked PHP Framework
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Django - The Web framework for perfectionists with deadlines
NumPy - NumPy is the fundamental package for scientific computing with Python
Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.