Refero Design
Mobbin
TOOOLS.design
Curated Design
Landdding
Designer Daily Report
UX Archive Animated
Layers
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Refero make design research easier and faster than ever before. Explore over then 13,000 pages and 60,000 searchable screens of the best of product design from real life.
Refero Design MatplotlibBased on our record, Matplotlib seems to be a lot more popular than Refero Design. While we know about 114 links to Matplotlib, we've tracked only 6 mentions of Refero Design. 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.
I asked Claude Design for four color directions and picked between them. I pulled references from Aceternity UI, Magic UI, and Refero. The full "how I build a site I actually like" workflow is its own piece, coming soon. If there's an AI topic you want me to break down, reply to the email and tell me. - Source: dev.to / about 2 months ago
To date, we have collected more than 60,000 screens. All screens are in high quality with @x2 resolution and full size. We start every new feature by doing reference research with Refero, so we eat our dog food and really enjoy it. Why am I posting this here? Of course, we are looking for new users. And I believe that here we can find many founders here who will benefit from our service. In fact, up to 5% of our... - Source: Hacker News / about 2 years ago
9. Refero Design: Delve into well-designed real-world designs for apps and websites. - Source: dev.to / about 2 years ago
Refero - [Web screenshots] Tagged and searchable collection of design references from great web applications. - Source: dev.to / over 2 years ago
For real feasible design from real world check Refero for inspiration https://refero.design. Source: over 3 years 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
Mobbin - Latest mobile design patterns & elements library
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
TOOOLS.design - A free and growing archive of 900+ design resources, weekly updated for the community.
NumPy - NumPy is the fundamental package for scientific computing with Python
Curated Design - Web design inspiration catalog for creators
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.