LanguageTool
Grammarly
Wordtune
ProWritingAid
Ginger
Editsaurus
Wordvice AI
Grammarian PRO3
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
LanguageTool MatplotlibBased on our record, Matplotlib seems to be a lot more popular than LanguageTool. While we know about 114 links to Matplotlib, we've tracked only 5 mentions of LanguageTool. 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.
You could check for spelling mistakes first with something like https://languagetool.org/de. Source: over 3 years ago
I prefer https://www.deepl.com/ and https://languagetool.org/de might be also helpful. Source: over 3 years ago
I was already used to wiggly lines in my favorite IDE IntelliJ and really missed the spell and grammar check capabilities in other editors especially when writing something in the browser. A colleague told me that IntelliJ is using LanguageTool since I'm pretty satisfied with the analysis inside it. Therefore, I looked around on GitHub for a way of hosting my own LanguageTool server. I came across this... - Source: dev.to / about 4 years ago
Hi. Maybe before posting on r/WriteStreakGerman and getting a proper correction you could check the writing on these sites (LanguageTool, Duden-Mentor), to catch some of the possible errors. Regarding shyness, put anonymity to good use. Source: almost 5 years ago
The LanguageTool extension is decent and picks up on a lot of mistakes, but nowhere close to all of them. For example, it will identify if you wrote an article that can never go with a given noun (like "der Auto"), but will not recognize a case error (like using "das Auto" in Dativ). It will also often pick up on things like comma mistakes. Source: almost 5 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 / 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 / 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
Grammarly - Clear, effective, mistake-free writing everywhere you type.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Wordtune - AI-powered writing companion
NumPy - NumPy is the fundamental package for scientific computing with Python
ProWritingAid - For the smarter writer. A grammar checker, style editor, and writing mentor in one package.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
