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NumPy VS Zylo

Compare NumPy VS Zylo and see what are their differences

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Powerful SaaS integration toolkit for SaaS developers - create, amplify, manage and publish native integrations from within your app with Cyclr's flexible Embedded iPaaS. featured
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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Zylo logo Zylo

Zylo helps organizations optimize their SaaS investments by providing insights around Spend, Utilization, and User Feedback.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Zylo Landing page
    Landing page //
    2023-09-27

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.

Zylo features and specs

  • Comprehensive SaaS Management
    Zylo offers a robust platform to discover, manage, and optimize SaaS subscriptions, providing visibility into all applications across an organization.
  • Cost Optimization
    The platform helps organizations reduce software spend by identifying unused licenses and redundant applications, ultimately driving cost efficiencies.
  • User-friendly Interface
    Zylo's interface is designed to be intuitive and easy to navigate, allowing users to quickly access key information and insights.
  • Integration Capabilities
    Zylo supports integrations with numerous popular SaaS applications and systems, enabling seamless data aggregation and management.
  • Enhanced Compliance
    The platform aids in ensuring compliance with licensing agreements and regulatory requirements by providing detailed usage and contract data.

Possible disadvantages of Zylo

  • Cost
    Zylo may come with a considerable subscription fee, which might be a significant investment for small to medium-sized businesses.
  • Complexity of Setup
    Initial setup and integration with existing systems can be complex and time-consuming, requiring significant effort from IT teams.
  • Learning Curve
    While the interface is user-friendly, fully leveraging all features and functionalities of the platform may require training and time.
  • Dependency on Accurate Data
    The effectiveness of Zylo heavily depends on the accuracy and completeness of the data input, which can be a challenge if data is fragmented or inconsistent.
  • Limited Offline Access
    Zylo is a web-based solution, so it requires an internet connection to access. This might limit its usability in environments with poor connectivity.

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.

Analysis of Zylo

Overall verdict

  • Zylo is generally considered a good choice for organizations looking to manage and optimize their SaaS portfolios. It offers valuable tools and insights to help companies gain control over their SaaS environments, which can lead to significant cost savings and operational improvements.

Why this product is good

  • Zylo is a prominent SaaS management platform that helps enterprises manage and optimize their software-as-a-service (SaaS) subscriptions. It is known for providing comprehensive visibility into SaaS usage and spending, allowing businesses to make informed decisions and reduce inefficiencies. With features such as application discovery, spend management, and data-driven insights, Zylo aims to streamline SaaS operations and enhance overall productivity.

Recommended for

  • Large enterprises with multiple SaaS subscriptions
  • Organizations looking to optimize software spending
  • IT departments focused on improving software governance
  • Companies aiming to enhance visibility into SaaS usage and reduce redundancy

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

Zylo videos

+ Add

Sony Ericsson Zylo Review

More videos:

  • Review - X-zylo review 600+ft!!!
  • Demo - X Zylo Review and Demo! Is it Magic?

Category Popularity

0-100% (relative to NumPy and Zylo)

NumPy

Zylo

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
SaaS Management
0 0%
SaaS Management
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Subscription Management
0 0%
Subscription Management
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 NumPy and Zylo

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

Zylo Reviews

We have no reviews of Zylo yet.
Be the first one to post

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than Zylo. While we know about 119 links to NumPy, we've tracked only 4 mentions of Zylo. 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 (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

Zylo mentions (4)

  • Any Experience with Zylo or Torri
    Hi we want to decrease our cost of saas tools and thinking of buying saas manmagement platform. Short list is zylo and torri. https://zylo.com. - Source: Hacker News / about 2 years ago
  • Too much software - can this help
    Something similar to this already exists. Source: almost 3 years ago
  • Annoying problems to solve
    It's also called "SaaS management" or "software asset management" e.g. zylo.com bettercloud.com or blissfully.com. Source: over 3 years ago
  • Losing control and track of SaaS applications.
    I'm coming from the perspective of a smaller-medium sized business, so something really comprehensive/expensive like Zylo or Bettercloud might be overkill or simply not affordable unless you are enterprise-sized. For bigger companies though, it's the perfect solution and there are a lot of helpful features for big orgs. Source: over 3 years ago

What are some alternatives?

When comparing NumPy and Zylo, 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.

Torii - SaaS Management Software.

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

Blissfully - Blissfully offers solutions to track, manage, and optimize SaaS spendings.

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

Cledara - We help companies bring visibility and control to their ever-growing #SaaS stack.

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