Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Ruttl
Markup.io
Marker.io
Pastel
BugHerd
Userback
Usersnap
Fiidbakk
To review fully developed websites, currently, people take screenshots, encircle design issues and share them in a word document or have long meetings with the developers to implement the changes. The average time required to review any page using such methods is over 3-4 hours alone, which makes such methods inefficient and time-consuming!
Thatโs why we built ruttl! Packed with powerful features, it allows users to add comments, edit content, track bugs, replace images, make design changes (& more) to web elements and share all kinds of changes needed to get implemented by developers. ruttl has streamlined the entire process of giving web design feedback and has become the favourite go-to design feedback tool for designers, developers, and agencies worldwide!
Matplotlib RuttlBased on our record, Matplotlib seems to be a lot more popular than Ruttl. While we know about 114 links to Matplotlib, we've tracked only 3 mentions of Ruttl. 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 / 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 / 8 months ago
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 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
Competitors There are a few competitors out there that do something very similar (see https://ruttl.com/, https://usepastel.com/, https://bugherd.com/, https://www.markup.io/). This seems to suggest that there seems to be a general market for such a product. Source: over 3 years ago
Ruttl.com โ The best all-in-one feedback tool to collect digital feedback and review websites, PDF's and images. - Source: dev.to / over 3 years ago
Ruttl - Helps you leave comments directly on live websites. Source: almost 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.
Markup.io - The easiest way to comment and share feedback on over 30 file types. Sign up for free, upload your content, drop a comment, and share for review. Yep, itโs that simple.
NumPy - NumPy is the fundamental package for scientific computing with Python
Marker.io - Visual feedback and bug reporting tool for websites
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
Pastel - Sticky note-based feedback collection tool for live websites
