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DocRaptor VS Matplotlib

Compare DocRaptor VS Matplotlib and see what are their differences

DocRaptor logo 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
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Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • DocRaptor Landing page
    Landing page //
    2021-06-30

Uniquely Powerful PDF Generation

Only DocRaptor's HTML-to-PDF API has these advanced styling and layout capabilities:

Easy Headers & Footers

Instead of a separate HTML file, DocRaptor headers and footers are part of your document HTML. And easily show (or hide) different headers and footers for different pages.

Mixed Layout, Sizes & Headers

DocRaptor lets you control the style, sizing, headers, and layouts of individual pages in your document. You can even style left and right pages differently, or the first and last pages.

CSS Flexbox

DocRaptor lets you make PDFs with advanced CSS layout tools, including flexbox. You won't need to radically adjust your website to get a great PDF.

Accessible, Tagged PDFs

Create more accessible PDFs by using PDF profiles PDF/A-1a, PDF/A-3a, or PDF/UA-1. Tagged PDFs optimize the reading experience for assistive technology such as screen readers.

Fine-Tune Page Breaks

Our rendering engine was built specifically for making PDFs and we fully support CSS3 Paged Media. This allows much greater control over page breaks, especially when dealing with tables and images.

…and more!

Add crop marks, specify PDF bookmarks, or create standards-compliant documents.

Unmatched Scale & Reliability

We back our API with a 99.999% uptime guarantee. If you need reliability, DocRaptor is the service you can trust. We also have no limits on document input or output size.

  • Matplotlib Landing page
    Landing page //
    2023-06-14

DocRaptor

$ Details
paid Free Trial $15.0 / Monthly (125+ Documents)
Platforms
REST API PHP Java JavaScript Ruby Drupal Python Node JS Laravel Cross Platform .Net Generic HTTP API Cloud
Release Date
2010 May

Matplotlib

Pricing URL
-
$ Details
Platforms
-
Release Date
-

DocRaptor videos

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Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to DocRaptor and Matplotlib)
PDF Tools
100 100%
0% 0
Technical Computing
0 0%
100% 100
Office & Productivity
100 100%
0% 0
Data Science And Machine Learning

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare DocRaptor and Matplotlib

DocRaptor Reviews

  1. Cool app

    I've been using it for a while. It's great to create contracts.

    🏁 Competitors: pdfmatrix.com
  2. Great app - resolves the limitations of other doc/merge apps

    We wanted an app that would allow for custom branding and layout, the font of our choice, and merge fields across our main SF objects. Previously we used DocGen, which led to a morass of configuration to put fields in exactly the place they needed to be for the tables, as well as a bunch of SOQL queries to manage conditional logic. The VF doc generator can't accommodate the fonts we use in our branding. And so DocRaptor has been the perfect solution.

    Our developer built the contracts, and we went live within weeks with complete branding, flexibility in the data merges (we were able to remove a ton of bad config) and it's easy to manage.

    👍 Pros:    Flexible|Great customer support|Super fast
  3. The best HTML to PDF solution

    I have been using DocRaptor for 6 years, both for my professionnal and personnal projects. After trying several free and/or open source HTML to PDF solutions, I was happy to find this service. It's the most efficient solution, which generates the most accurate PDF documents.

    Since it's a SaaS service, there is nothing to install, no library dependencies nor experimental software that you're not sure it will be supported in the future.

    There is a lot of options and CSS rules to dig in if you want to get PDF files that exactly matches what you want. But the other solutions I tried didn't have these options, and the result was not good enough.

    👍 Pros:    Simple api|No dependencies|Best pdf result|A lot of options to help you create the pdf you need|Good customer support
    👎 Cons:    A lot of css rules to learn if you want to get the perfect pdf of your dreams... but at least these rules exist!

14 Best PDF APIs for Every Business Need
DocRaptor is an HTML-to-PDF API that empowers you with unmatched scalability and reliability. Even if you need thousands of PDF documents every day, it can handle your requirements. It also guarantees 99.999% uptime and has no restrictions on the input and output size of the files.
Source: geekflare.com
Best BFO Java PDF Library Alternatives (2024) for your project
DocRaptor is a service that is hosted in the cloud and generates PDF documents from HTML and CSS in a seamless manner. Because it enables developers to easily convert web information into PDFs of excellent quality, it is a convenient solution for projects in which HTML-to-PDF conversion is a primary requirement.

Matplotlib Reviews

25 Python Frameworks to Master
Matplotlib is a widely used tool for data visualization in Python. It provides an object-oriented API for embedding plots into applications.
Source: kinsta.com
5 Best Python Libraries For Data Visualization in 2023
You can use this library for multiple purposes such as generating plots, bar charts, histograms, power spectra, stemplots, pie charts, and more. The best thing about Matplotlib is you just have to write a few lines of code and it handles the rest by itself. Metaplotilib focuses on static images for publication along with interactive figures using toolkits like Qt and GTK.
15 data science tools to consider using in 2021
Matplotlib is an open source Python plotting library that's used to read, import and visualize data in analytics applications. Data scientists and other users can create static, animated and interactive data visualizations with Matplotlib, using it in Python scripts, the Python and IPython shells, Jupyter Notebook, web application servers and various GUI toolkits.
Top Python Libraries For Image Processing In 2021
Matplotlib is primarily used for 2D visualizations such as scatter plots, bar graphs, histograms, and many more, but we can also use it for image processing. It is effective to get information out of an image. It doesn’t support all file formats.
Top 8 Python Libraries for Data Visualization
Matplotlib is a data visualization library and 2-D plotting library of Python It was initially released in 2003 and it is the most popular and widely-used plotting library in the Python community. It comes with an interactive environment across multiple platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application...

Social recommendations and mentions

Based on our record, Matplotlib seems to be a lot more popular than DocRaptor. While we know about 98 links to Matplotlib, we've tracked only 4 mentions of DocRaptor. 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.

DocRaptor mentions (4)

  • Launch HN: Onedoc (YC W24) – A better way to create PDFs
    It sounds like this is as advanced as DocRaptor[1]. They have what I consider to be the best PDF generation API, giving complete control over the documents you need to create. The pricing is similar. If you'd rather do it for free weasyprint[2] is the best open source alternative. Another more affordable option you might want to consider is Urlbox[3]. (Disclosure: I work on this) Urlbox's rendering engine is based... - Source: Hacker News / 2 months ago
  • How do you generate PDF reports from HTML?
    We built the DocRaptor API to let developers have affordable access to the commercial Prince PDF engine. We have Node code examples throughout the documentation. Source: over 1 year ago
  • What is the best online HTML to PDF converter?
    I'd argue our service, DocRaptor, is the best because it's the only one powered by the Prince PDF engine. Unlike open-source, browser-based conversion engines, Prince was custom-built just for converting HTML into PDFs and offers a lot of unique functionality for making more complex PDFs. Source: almost 2 years ago
  • Is it possible to render a RazorPage (inc. CSS) to a PDF file and download via WebAPI?
    I work for https://docraptor.com, which is an HTML to PDF API. We have a C# agent. Source: almost 3 years ago

Matplotlib mentions (98)

  • Implementing semantic image search with Amazon Titan and Supabase Vector
    Matplotlib: for displaying our image result. - Source: dev.to / about 1 month ago
  • Releasing The Force Of Machine Learning: A Novice’s Guide 😃
    Matplotlib: Acomprehensive library for creating static, animated, and interactive visualizations in Python. - Source: dev.to / 3 months ago
  • How to retrieve and analyze crypto order book data using Python and a cryptocurrency API
    Data visualization: utilizing Python's Matplotlib for visualizing order book information. - Source: dev.to / 6 months ago
  • Ask HN: What plotting tools should I invest in learning?
    For random, quick and dirty, ad-hoc plotting tasks my default is GNUPlot[1]. Otherwise I tend to use either Python with matplotlib, or R with ggplot2. I keep saying I'm going to invest the time to properly learn D3[4] or something similar for doing web-based plotting, but somehow never quite seem to find time to do it. sigh [1]: http://www.gnuplot.info/ [2]: https://matplotlib.org/ [3]:... - Source: Hacker News / 10 months ago
  • PSA: You don't need fancy stuff to do good work.
    Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: about 1 year ago
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What are some alternatives?

When comparing DocRaptor and Matplotlib, you can also consider the following products

PDFCrowd - Pdfcrowd is a Web/HTML to PDF online service. Convert HTML to PDF online in the browser or in your PHP, Python, Ruby, .NET, Java apps via the REST API.

GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.

pdflayer - Free, powerful HTML to PDF API supporting both URL and raw HTML conversion. Unlimited document size, lightning-fast and compatible PHP, Python, Ruby, etc.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

PDFShift - Convert any HTML documents to high-fidelity PDF using a single POST request

Plotly - Low-Code Data Apps