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nSpek VS NumPy

Compare nSpek VS NumPy and see what are their differences

nSpek logo nSpek

nSpek, build forms and mobile checklists without coding or developers. Canadian Digital Inspections and Form Builder Provider for Heavy Industries such as Mining and Construction.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • nSpek Landing page
    Landing page //
    2023-08-27

nSpek.com - The Standard Canadian Heavy Industries Form Builder.

Looking for a Digital Inspections and Form Builder Provider for Heavy Industries such as Mining and Construction in Canada? Great! This is the alternative you have been waiting for, check this site

Data collection apps are now more important for mining industries in Canada, than ever. Substantial grants are now given to mines that operate in a transparent and modern way with their mobile data gathering and sharing. The Canadian GDP depends on the mineral and metal exploitation sector. By partnering with nSpek, all heavy industries that build and create their forms on premise are now capable of using an open source API that stores the information in a SQL based server. It becomes easy to analyze with Power BI or other business intelligence data collection partners like datacollectionforms.com.

What is an inspection app?

An inspection app inspection app is a data collection software on a mobile device which allows to fill digital forms information. An inspection app helps field workers get data as well as plan their inspection tasks.

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

nSpek

Website
nspek.com
$ Details
paid
Platforms
Browser Android iOS Web Windows Mac OSX Linux
Release Date
2002 October

nSpek features and specs

  • Data Collection: Yes
  • Field Data Collection: Yes
  • Form Building: Yes
  • Form Creation: Yes
  • Task Management: Yes
  • Digital Inspections: Yes
  • ERP automation: Yes
  • On Premise: Yes
  • Cloud: Yes
  • Site inspection: Yes
  • IOT: Yes

NumPy features and specs

No features have been listed yet.

nSpek videos

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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 nSpek and NumPy)
Form Builder
100 100%
0% 0
Data Science And Machine Learning
Forms And Surveys
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 nSpek and NumPy

nSpek Reviews

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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 nSpek. While we know about 107 links to NumPy, we've tracked only 1 mention of nSpek. 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.

nSpek mentions (1)

  • Do you guys use a lot of paper forms, paper checklists and paper based inspections or is the industry all digitized now?
    I dont know bluebeam, you mean :https://www.bluebeam.com/ ? I only know https://nspek.com/en/. Source: almost 2 years ago

NumPy mentions (107)

  • Element-wise vs Matrix vs Dot multiplication
    In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 3 months ago
  • JSON in data science projects: tips & tricks
    Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / 3 months ago
  • Introducing Flama for Robust Machine Learning APIs
    Numpy: A library for scientific computing in Python. - Source: dev.to / 6 months ago
  • A Comprehensive Guide to NumPy Arrays
    Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 7 months ago
  • Beginning Python: Project Management With PDM
    A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 8 months ago
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What are some alternatives?

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

FastField - Mobile forms solution

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

ProntoForms - ProntoForms is a mobile business solutions application, converting paper forms onto any tablet or mobile device.

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

GoCanvas - GoCanvas is a service that helps you replace paper forms and processes with efficient mobile business apps and forms to save money and time on data collection.

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