UniDoc.io
Microsoft Office Excel
Excelize
PDFTron
Microsoft PowerPoint
LibreOffice - Calc
Microsoft Word
WPS Spreadsheets
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
The UniDoc libraries since 2016 have become the popular choice among cloud-native and especially among Golang devs. Deep in essence and known for their professional support, the UniDoc libraries are becoming the norm among professional clients. With many Fortune 500 companies, SMEs. and serious startups using it, UniDoc is surely the market leader.
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Based on our record, Matplotlib seems to be a lot more popular than UniDoc.io. While we know about 114 links to Matplotlib, we've tracked only 7 mentions of UniDoc.io. 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.
But how do we elevate our interaction with these files? How do we make annotations, edits, and collaboration more seamless? Here's where the Golang PDF Library swoops in like a superhero for your PDF woes. - Source: dev.to / almost 3 years ago
Note: While the article is hosted on the UniDoc website, avoid mentioning "UniDoc" or "UniPDF" more than twice in our comments to keep the conversation unbiased and centered around the technology itself. โ ๏ธโ. Source: about 3 years ago
I stumbled upon an amazing resource I had to share with you all. ๐ It's an informative blog post titled "Creating Tables Using Pure Go," you can find it on the UniDoc. ๐ป. Source: about 3 years ago
UniDoc is the star of the show here. It provides an intuitive API that makes working with templates a breeze. Have existing templates you want to modify? UniDoc has got you covered! You can easily customize templates to suit your specific needs. ๐ชโ๏ธ. Source: about 3 years ago
Hey fellow Redditors! ๐ I recently shared a post about Golang PDF libraries. Source: about 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 / 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
Microsoft Office Excel - Microsoft Office Excel is a commercial spreadsheet application.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Excelize - Go language library for reading and writing Microsoft Excelโข (XLAM / XLSM / XLSX / XLTM / XLTX) spreadsheets
NumPy - NumPy is the fundamental package for scientific computing with Python
PDFTron - PDF components and tools.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.