recommenders VS WeasyPrint

Compare recommenders vs WeasyPrint and see what are their differences.

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recommenders WeasyPrint
6 43
17,980 6,646
2.2% 2.7%
9.5 9.5
6 days ago about 10 hours ago
Python Python
MIT License BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

recommenders

Posts with mentions or reviews of recommenders. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-04.

WeasyPrint

Posts with mentions or reviews of WeasyPrint. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-11.

What are some alternatives?

When comparing recommenders and WeasyPrint you can also consider the following projects:

metarank - A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine

ReportLab

azure-devops-python-api - Azure DevOps Python API

PyPDF2 - A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files

python-minecraft-clone - Source code for each episode of my Minecraft clone in Python YouTube tutorial series.

WKHTMLToPDF - Convert HTML to PDF using Webkit (QtWebKit)

TensorRec - A TensorFlow recommendation algorithm and framework in Python.

QuestPDF - QuestPDF is a modern open-source .NET library for PDF document generation. Offering comprehensive layout engine powered by concise and discoverable C# Fluent API. Easily generate PDF reports, invoices, exports, etc.

pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]

PDFMiner - Python PDF Parser (Not actively maintained). Check out pdfminer.six.

Google-rank-tracker - SEO: Python script + shell script and cronjob to check ranks on a daily basis

MathJax - Beautiful and accessible math in all browsers