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Wondershare PDFelement VS NumPy

Compare Wondershare PDFelement VS NumPy and see what are their differences

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Wondershare PDFelement logo Wondershare PDFelement

All-in-one PDF editor

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Wondershare PDFelement Landing page
    Landing page //
    2023-09-18
  • NumPy Landing page
    Landing page //
    2023-05-13

Wondershare PDFelement features and specs

  • User-Friendly Interface
    Wondershare PDFelement offers a clean and intuitive interface, making it easy for users of all skill levels to navigate and utilize the software's features efficiently.
  • Comprehensive Features
    The software provides a wide range of features including editing, annotating, converting, and form filling, making it a versatile tool for PDF management.
  • Affordability
    Compared to other PDF solutions like Adobe Acrobat, Wondershare PDFelement is generally more affordable, offering cost-effective pricing plans for both individuals and businesses.
  • OCR Capability
    The software includes Optical Character Recognition (OCR), allowing users to convert scanned documents into editable and searchable text, enhancing productivity.
  • Cross-Platform Availability
    PDFelement is available on various platforms including Windows, Mac, iOS, and Android, ensuring users can access their documents and tools across multiple devices.

Possible disadvantages of Wondershare PDFelement

  • Occasional Stability Issues
    Some users have reported occasional crashes or freezes, which can disrupt the workflow, especially during intensive tasks involving large or complex documents.
  • Performance Speed
    The software may perform slower than competitors when handling large PDF files or complex editing tasks, affecting user experience during processing.
  • Limited Advanced Features
    While PDFelement covers most standard PDF functionalities, it may lack some advanced features found in more premium solutions like Adobe Acrobat, such as advanced prepress tools.
  • Customer Support
    Some users have experienced delays in receiving support or found the customer service to be less responsive than expected, which can be a drawback during critical issues.

NumPy features and specs

  • 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 of NumPy

  • 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.

Wondershare PDFelement videos

PDFelement - PDF Must Have Editor

More videos:

  • Review - PDF EDITOR REVIEW + First Impressions // PDFelement 6

NumPy videos

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Category Popularity

0-100% (relative to Wondershare PDFelement and NumPy)
PDF Tools
100 100%
0% 0
Data Science And Machine Learning
PDF Editor
100 100%
0% 0
Data Science Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Wondershare PDFelement and NumPy

Wondershare PDFelement Reviews

The 13 Best Free PDF Editors (February 2024)
PDFelement is free, but with a major limitation: It places a watermark on every page of the document. That being said, the watermark is behind everything, so you can still see the content, and it's important to realize that it supports some truly great PDF editing features.
AI Proofreaders: What They Are & What The Top Tools Are
That said, you should try using an AI proofreader. Wondershare PDFelement is a good choice since it offers a lot of value. It can proofread text or PDFs, explain the errors, and rewrite the content automatically. That expedites the process a lot. And on top of this powerful AI proofreading tool, PDFelement also offers lots of other features.
8 Best Adobe Acrobat Alternatives In 2022 [Updated List]
You can also use it for creating and converting PDF and use OCR for scanned documents. And you can even extract data from the file. PDFelement is a multi-platform app that you can use on Windows, macOS, and iOS.
10 Best PDF Expert Alternatives for Various Tasks in 2022
Verdict: PDFelement has been developed by Wondershare company. The software provides users with fast operations processing, including the option of conversion. In comparison with PDF Expert, this is a big advantage, which turns this product into a remarkable program similar to PDF Expert. Recently many PDF Expert users started to argue about it being frizzed up while...
Source: fixthephoto.com
5 alternatives to Adobe Acrobat Reader
Wondershare PDFelement is also an excellent alternative to Adobe Acrobat. This tool provides watermarking, adding headers and footers, password permissions, creation, and document conversion for more than 90% of Adobe Acrobat features.

NumPy Reviews

25 Python Frameworks to Master
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 more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
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 at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
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 cropping, manipulating pixels, and masking of pixel values.
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than Wondershare PDFelement. While we know about 119 links to NumPy, we've tracked only 9 mentions of Wondershare PDFelement. 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.

Wondershare PDFelement mentions (9)

  • Looking for an alternative app for Superhuman and a great pdf tool
    I have better experience with https://pdf.wondershare.com/. Source: about 2 years ago
  • ILPT Request: Modifying past paystubs of where you have worked versus creating new ones entirely
    I've edited PDFs recently with this: https://pdf.wondershare.com/. I'd imagine most payslips are saveable as PDFs. Source: about 2 years ago
  • How to remove password from a PDF
    PDFelement can remove all passwords on PDFs https://pdf.wondershare.com/. Source: over 3 years ago
  • Need a tool to rotate multiple PDFs in one shoot
    You can use PDFelement as the suitable tool for rotating multiple PDFs in one shoot. You can use its free version to rotate multiple PDF files without merging them. Besides, you can also use it for any kind of editing, data extraction, form handling, security, converting, signing, reviewing etc within a minute without any type of hassle. Source: almost 4 years ago
  • Which app should I use?
    There are a number of paid as well as free apps to perform your tasks. Keep in mind, you have to purchase most of them to use their advanced level service features. Still, there are some apps those provide full service features to their trial version. PDFelement is such an app that offers all of its service features at their trial version. You can try this one. Source: almost 4 years ago
View more

NumPy mentions (119)

  • Building an AI-powered Financial Data Analyzer with NodeJS, Python, SvelteKit, and TailwindCSS - Part 0
    The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 4 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / 8 months ago
  • Intro to Ray on GKE
    The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 9 months ago
  • Streamlit 101: The fundamentals of a Python data app
    It's compatible with a wide range of data libraries, including Pandas, NumPy, and Altair. Streamlit integrates with all the latest tools in generative AI, such as any LLM, vector database, or various AI frameworks like LangChain, LlamaIndex, or Weights & Biases. Streamlit’s chat elements make it especially easy to interact with AI so you can build chatbots that “talk to your data.”. - Source: dev.to / 9 months ago
  • A simple way to extract all detected objects from image and save them as separate images using YOLOv8.2 and OpenCV
    The OpenCV image is a regular NumPy array. You can see it shape:. - Source: dev.to / 9 months ago
View more

What are some alternatives?

When comparing Wondershare PDFelement and NumPy, you can also consider the following products

Adobe Acrobat DC - Make your job easier with Adobe Acrobat DC, the trusted PDF creator. Use Acrobat to convert, edit and sign PDF files at your desk or on the go.

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

Google Docs - Create a new document and edit with others at the same time -- from your computer, phone or tablet. Get stuff done with or without an internet connection. Use Docs to edit Word files. Free from Google.

OpenCV - OpenCV is the world's biggest computer vision library

Foxit PhantomPDF - Edit PDF files with our feature-rich PDF Editor. Download Foxit PDF Editor to convert, sign, scan / OCR & more. A speedy PDF Editor alternative to Adobe Acrobat.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.