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NumPy VS Freshservice

Compare NumPy VS Freshservice and see what are their differences

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  3. » Reviews
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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Freshservice logo Freshservice

Freshservice: the one-stop cloud solution for all your IT management needs.
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  • NumPy Landing page
    Landing page //
    2023-05-13
  • Freshservice Homepage
    Homepage //
    2024-05-06

NumPy videos

+ Add

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

Freshservice videos

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Freshservice - A Quick Overview

More videos:

  • Demo - Freshservice Demo
  • Demo - Freshservice - End user demo
  • Review - Freshservice Review 2020: Great Overall SASS for IT
  • Review - Freshservice vs SysAid: Why I switched from SysAid to Freshservice
  • Review - Freshservice vs Jira Service Management: Which ITSM is for You
  • Review - Freshservice Review - Pros and Cons Revealed
  • Tutorial - Freshservice Tutorial 2024: How To Use Freshservice (Step-By-Step)

Category Popularity

0-100% (relative to NumPy and Freshservice)

NumPy

Freshservice

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Project Management
0 0%
Project Management
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Monitoring Tools
0 0%
Monitoring Tools
100% 100

User comments

Share your experience with using NumPy and Freshservice. For example, how are they different and which one is better?
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Reviews

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

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.
Source: www.analyticsvidhya.com
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

Freshservice Reviews

12 Best Asset Management Software For IT Teams In 2023
Freshservice is one of the leading IT asset management platforms (ITAMs) in the world. The ITAM helps CTOs keep their IT assets under control, such as hardware and software, including fixed assets like vehicles and machines
Source: thectoclub.com
20 Best IT Asset Management Software in 2023: ITAM Tools and Solutions
Freshservice is an ITSM and ITAM software that provides asset discovery and inventory, software and hardware tracking, and license management capabilities. Its cloud-based platform is easy to use and offers real-time visibility into asset usage and costs. Freshservice also offers automation features, including automated asset discovery and tracking, to help organizations...
Source: infraon.io
29 Best Alternatives to Dapulse (Now Monday.com)
Freshservice is a web-based application that focuses on IT service management. The software is specifically designed to help IT teams improve the way they perform every task that they might need to perform in the process of project management.
Source: www.proofhub.com

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than Freshservice. While we know about 107 links to NumPy, we've tracked only 3 mentions of Freshservice. 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.

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 / 2 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 / 5 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 / 7 months ago
View more

Freshservice mentions (3)

  • Outlook Helpdesk Form
    If you're fine with writing emails instead of filling in an Outlook form (as a user), then https://freshservice.com/ might work. Source: over 2 years ago
  • Low Hanging Fruit - Recommendations for Ticketing System????
    FreshService is pretty good and ticks all the boxes you're looking for (https://freshservice.com/). Source: over 2 years ago
  • SchoolDude as a help desk / ticketing system.
    If you're not capable of hosting the solution yourself, there are solutions that have per-agent models that will cost you much less than SchoolDude, all while being substantially more feature rich. osTicket and FreshService are both great examples. A cloud hosted instance of osTicket is only $9/agent/month. FreshService is a more polished solution, but costs more at $19/agent/month. Source: about 3 years ago

What are some alternatives?

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

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

Asana - Asana project management is an effort to re-imagine how we work together, through modern productivity software. Fast and versatile, Asana helps individuals and groups get more done.

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

Redmine - Flexible project management web application

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

Basecamp - A simple and elegant project management system.

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