Qlik VS NumPy

Qlik

Qlik offers an Active Intelligence platform, delivering end-to-end, real-time data integration and analytics cloud solutions to close the gaps between data, insights, and action.

NumPy

NumPy is the fundamental package for scientific computing with Python

Landing page //
2023-06-28

Landing page //
2023-05-13

A Day in the life of a Qlik Cloud User

NumPy videos

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Learn NUMPY in 5 minutes - BEST Python Library!

Category Popularity

0-100% (relative to Qlik and NumPy)

NumPy

Data Dashboard

86 86%

Data Dashboard

14% 14

Data Science And Machine Learning

0 0%

Data Science And Machine Learning

100% 100

Business Intelligence

100 100%

Business Intelligence

0% 0

Data Science Tools

0 0%

Data Science Tools

100% 100

User comments

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

Reviews

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

Qlik Reviews

The 7 Best Embedded iPaaS Solutions to Consider for 2024

Description: Qlik offers a range of integration capabilities that span four product lines. The flagship product is Qlik Replicate, a tool that replicates, synchronizes, distributes, consolidates, and ingests data across major databases, data warehouses, and Hadoop. The portfolio is buoyed by Qlik Compose for data lake and data warehouse automation and Qlik Catalog for...

Source: solutionsreview.com

25 Best Reporting Tools for 2022

QlikView is a classic Reporting Tool that provides analytical solutions and allows you to develop appealing visualization from the data. It is an Enterprise Tool that converts raw data into a meaningful format. Some features of QlikView are as follows:

Source: hevodata.com

Top 10 Visual Analytics Provider For 2021

With some of the most sophisticated array of visualisations, Qlik is a pioneer in visualisation analytics software. With Qlik Sense and QlikView, it helps with a wide range and unorthodox ways of presenting data. Its ‘associative analytics engine’ in Qlik Sense moves away from a query-based approach and lets you explore data without any limitations. The engine lets you...

Source: analyticsindiamag.com

Top 10 Data Integration Software: An Overview 28 Jan 2019

Qlik Connect, formerly Attunity Connect, is an easy-to-use, standards-based solution that provides you with fast, easy and cost-effective data access and availability. It provides real-time and seamless connectivity and integration with web applications. Additionally, this software features data-driven event detection and allows enterprises to build a service-oriented...

Source: mopinion.com

The 28 Best Data Integration Tools and Software for 2020

Description: The Qlik product suite features a range of data integration capabilities that span four distinct product lines. The flagship product is Qlik Replicate, a tool that replicates, synchronizes, distributes, consolidates, and ingests data across all major databases, data warehouses, and Hadoop. The portfolio of products is buoyed by Qlik Compose and Qlik Visibility....

Source: solutionsreview.com

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

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than Qlik. While we know about 107 links to NumPy, we've tracked only 1 mention of Qlik. 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.

Qlik mentions (1)

GME FTD - Moving Daily Avg.
All files was pulled into a program called : QLIK, qlik.com is the company and my company uses it for our reporting and our customer's reporting needs. Source: about 3 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 / 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 / 2 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 / 6 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

What are some alternatives?

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

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

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

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

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

Sisense - The BI & Dashboard Software to handle multiple, large data sets.

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