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Which is more popular?
Based on our record, NumPy
seems to be a lot more popular than Summernote.
While we know about 122 links to NumPy,
we've tracked only 5 mentions of Summernote.
social mentions
5 vs 122
Text Editors popularity
100% vs 0%
alternatives listed
68 vs 189
Base details
Website, pricing, platforms and company facts side by side.
User-friendly Interface Summernote has a simple and intuitive user interface that makes it easy for users to start creating rich text content without a steep learning curve.
Extensible with Plugins Summernote supports a variety of plugins which expand its functionality, allowing customization to meet specific needs.
Bootstrap Integration Out of the box, Summernote is designed to work seamlessly with Bootstrap, making it a good choice for developers already using this front-end framework.
Open Source Being an open-source project, Summernote is free to use, and developers can contribute to its improvement and adapt it to their specific needs.
Lightweight Summernote is a lightweight editor, meaning it has a small file size which can result in faster loading times for web pages.
Image Upload and Drag & Drop Summernote supports easy and intuitive image uploads and drag & drop functionality, enhancing the user experience.
Possible disadvantages
Limited Advanced Features Compared to more comprehensive editors like CKEditor or TinyMCE, Summernote may lack some advanced features that power users might need.
Dependency on jQuery Summernote depends on jQuery, which could be a drawback for projects that aim to minimize dependencies or use a different framework.
Browser Compatibility Issues Some users have reported occasional issues with browser compatibility, which might affect the consistency of user experience across different environments.
Performance with Large Documents Summernote can experience performance issues when handling large documents or complex content, which can be a limitation for more extensive use cases.
Limited Support Being an open-source project, professional support options are limited compared to commercial editors which offer formal customer support.
Performance NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
Versatility NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
Ease of Use NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
Community Support With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
Integrations NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.
Possible disadvantages
Memory Consumption NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
Learning Curve For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
Limited GPU Support NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
Dependency on Python Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
Indexing Complexity Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.
Analysis
An editorial look at what each product does well and who it suits.
SummernoteNumPy
Overall verdict
Yes, Summernote is considered a good and reliable option for implementing WYSIWYG text editing. It is user-friendly, easily customizable, and supported by a strong community of developers.
Why this product is good
Summernote is a popular WYSIWYG (What You See Is What You Get) editor that is highly regarded for its simplicity, ease of integration, and flexibility. It is open-source and offers features like drag-and-drop image uploads, keyboard shortcuts, and support for various formats. Its lightweight nature and compatibility with major frameworks such as Bootstrap make it a versatile choice for developers looking to implement rich text editing capabilities into their web applications.
Recommended for
Summernote is recommended for developers and teams building web applications that need an intuitive and reliable rich text editor. It's particularly suitable for projects where ease of use, rapid integration, and support for responsive design are key considerations, such as blogging platforms, content management systems, and any web application that requires user-generated content input.
Overall verdict
Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.
Why this product is good
NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.
Recommended for
Scientists and researchers working with large-scale scientific computations.
Data scientists engaged in data analysis and manipulation.
Engineers and developers needing performance-optimized mathematical computations.
Summernote is a simple yet feature-rich WYSIWYG editor that supports real-time collaboration, image and file uploads, and various formatting options. It's a great alternative to CKEditor for those looking for an...
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and...
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and...
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image...
Recommendations tracked on public social media and blogs since March 2021.
Summernote5 mentionsNumPy122 mentions
Ask HN: What is your favorite FOSS WYSIWYG editor?
Installing Summernote (https://summernote.org) was easy. ProseMirror and Lexical seem much more complicated.
- Source: Hacker News
/
about 3 years ago
WYSIWYG Editor Recommendation for Commercial/Enterprise Website Frontends?
We use Summernote which is fine, there can be bugs with our integration but that is more down to our hacking around with it than the actual software.
Source:
over 4 years ago
Thoughts on Action Text
These past days I tried Action Text for the first time and got a bit disappointed with it, in the end I ended up using Summernote (https://summernote.org/) instead, here are my thoughts on what could be improved:.
Source:
almost 5 years 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...
- Source: dev.to
/
about 1 year ago
AI starts with math and coding. You don’t need a PhD—just high school math like algebra and some geometry. Linear algebra (think matrices) and calculus (like slopes) help understand how AI models work. Python is the main language for AI,...
- Source: dev.to
/
over 1 year ago
CKEditor
Froala Editor
TinyMCE
CKEditor 4
ContentTools
Quill
Adobe Dreamweaver
Pandas
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
Figure Eight
