Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
PDFMonkey
APITemplate.io
DocRaptor
CraftMyPDF
PandaDoc
PDFShift
Canva
pdf noodle
PDFMonkey is your automation tool perfect for generating a high volume of PDFs. HTML to PDF with our restless API or with various automation tool such as Zapier, Make or Bubble. Link it with thousands of tools to automate your workflow and simplify your PDF management.
Matplotlib PDFMonkeyPDFMonkey's answer:
PDFMonkey is a simple PDF generation tool that can make your task easier with automated shipping labels, invoices or any other PDF hassle.
PDFMonkey's answer:
PDFMonkey is one of the oldest in the market but also one of the best tool giving advanced features and improved support on automation tools such as Zapier, Make and bubble.
Based on our record, Matplotlib seems to be a lot more popular than PDFMonkey. While we know about 114 links to Matplotlib, we've tracked only 1 mention of PDFMonkey. 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 / 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
One of the first features I worked on when starting my career was AIM's pdf generation tool. It was time to migrate off of PDF monkey's SaaS product to our own solution. We had to figure a way of maintaining the same templates we used with PDF moneky but reverse engineering the server side logic, this was quite the challenge on it's own, we managed to eventually do it but ended up with a extra friction and huge... - Source: dev.to / about 1 year ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
APITemplate.io - APITemplate.io allows you to auto-generate social images and PDF documents with a simple API or automation tools like Zapier & Airtable. No CSS/HTML required.
NumPy - NumPy is the fundamental package for scientific computing with Python
DocRaptor - As the only API powered by the Prince HTML-to-PDF engine, DocRaptor provides the best support for complex PDFs with powerful support for headers, page breaks, page numbers, flexbox, watermarks, accessible PDFs, and much more
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
CraftMyPDF - Auto-generate PDFs with a drag&drop editor and a simple API
