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SignNow VS NumPy

Compare SignNow VS NumPy and see what are their differences

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SignNow logo SignNow

Electronic signature that scales with your workflow

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • SignNow Landing page
    Landing page //
    2021-10-02

signNow is an electronic signature that enables business to be conducted anywhere, anytime and on any device. signNow offers the best ROI for SBM and mid-market thanks to its intuitive UI, transparent pricing, flexible configuration and the ease of API integrations.

  • NumPy Landing page
    Landing page //
    2023-05-13

SignNow

$ Details
paid Free Trial $8.0 / Monthly (per user)
Platforms
Web Android iOS Google Chrome Cloud REST API AWS

SignNow features and specs

  • Bulk Mail
  • eSigning
  • FILLABLE FORMS
  • Audit Trail
  • GDPR Compliant
  • HIPAA Compliant
  • In-person signing
  • Live Chat Support
  • Automated workflow
  • Reminders and Expirations
  • Personalised Workspace

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.

Analysis of NumPy

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.
  • Educators and students in STEM fields.

SignNow videos

Welcome to signNow

More videos:

  • Demo - Getting started
  • Demo - signNow for Sales Teams
  • Tutorial - signNow for Fin Services
  • Demo - Sales process with signNow

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 SignNow and NumPy)
eSignature
100 100%
0% 0
Data Science And Machine Learning
Document Management
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 SignNow and NumPy

SignNow Reviews

Top 20 PandaDoc Alternatives and Competitors in 2024
SignNow helps businesses send and sign documents easily and affordably. It makes signing documents simple on any device and lets your team track the signing process in real time with notifications.
Source: oneflow.com
jSign vs signNow Comparison
jSign and signNow have vastly different pricing structures. First and foremost, jSign’s higher tier plans are cheaper than signNow’s. In contrast, jSign offers no refunds, whereas signNow has a 30-day money-back guarantee. At the same time, jSign can be tried out for free for 14 days or 30 days exclusively for Best Reviews readers, while signNow’s free trial lasts only seven...
Source: bestreviews.net

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 SignNow. While we know about 119 links to NumPy, we've tracked only 7 mentions of SignNow. 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.

SignNow mentions (7)

  • Services like Docusign?
    If you need just that, then definitely signnow (signnow.com). Source: almost 2 years ago
  • E-Signature Software Recommendations
    Signnow.com might work but they are not a document editor, strictly speaking (BUT amazing good for placing fillable fields! sic!). Source: about 2 years ago
  • Is this a scam? I do get changed set shifts for my job, but the emails don't usually look like this and none of my employers have this name.
    It's just that Brendan guy (someone from your work, I guess?) is using signnow.com as their e-signature and doc preparation solution (just check the domain/site manually, it is completely safe). Source: about 2 years ago
  • Which tool do you use for document generation for the end-user
    If you only need to add several fillable fields and that's it -- I'd go either with signnow.com or with pdffiller.com (they look different but this is the same, US-based vendor). Source: over 2 years ago
  • How to create a PDF with a cell row that can be typed information and saved?
    If you need people's signatures on those forms, I'd say signnow.com (they also have an integration with pdffiller because of the same vendor, and it's pretty neat!). Source: over 2 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 / 10 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 / 10 months ago
View more

What are some alternatives?

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

DocuSign - Try DocuSign's interactive signing demo now! Send yourself an electronic document to digitally sign using our e-signature service.

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

PandaDoc - Boost your revenue with PandaDoc. A document automation tool that delivers higher close rates and shorter sales cycles. We've helped over 30,000+ companies.

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

Dropbox Sign - eSignatures Simplified. The Most Powerful Platform for Your Business Agreements.

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