Software Alternatives, Accelerators & Startups

Ajelix VS NumPy

Compare Ajelix VS NumPy and see what are their differences

Ajelix logo Ajelix

AI data analytics platform for your data with professional-looking reports and AI analytics to help you stay on top of competitorsโ€”more than 17 AI tools including Excel formula generator and AI Excel tools.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Ajelix Dashboard example
    Dashboard example //
    2024-08-01

Ajelix provides more than 17 AI tools and a Business intelligence platform.

Ajelix BI lets you transform your spreadsheet or SQL data into professional-looking dashboards. Create KPIs, transform your data, and visualize them for data-driven decision-making.

Most popular AI tools help users generate Excel and Google Sheets formulas, write spreadsheet scripts, and translate Excel spreadsheets into 28 languages.

The main features: - AI dashboard generator, create reports automatically using AI - AI chart generator, write a prompt and get a chart - AI chat lets you talk about your data and reveal insights and analytics faster - Translate text into Excel formulas. Write what the formula needs to do and Excel Assistant will generate the formula. - Explain the formulas. Insert a colleague's formula and the Excel Assistant will explain what the formula does and what it is used for. - Translate Excel spreadsheets into 28 languages. Choose the language, and the translation fields: the whole Excel file, a single spreadsheet, or specific cells. - Generate Excel VBA and Google Apps scripts. Write what the script needs to do and the AI will generate the code for you.

Ajelix can improve the productivity of Excel users by 50%, giving instant support without spending time searching for information on the internet.

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

Ajelix

Website
ajelix.com
$ Details
freemium $9.0 / Monthly (Premium)
Platforms
Customer Dashboard Excel Add-in BI
Release Date
2022 November
Startup details
Country
Latvia
Founder(s)
Agnese, Arturs
Employees
1 - 9

Ajelix features and specs

  • Excel add-in
  • AI analytics
  • Data visualization
  • Business Intelligence platform
  • Data analytics
  • Excel formula generator
  • VBA script generator

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.

Ajelix videos

Full guide on how to use Ajelix BI platform

More videos:

  • Tutorial - How to create KPIs & Metrics on Ajelix BI
  • Demo - Ajelix BI promo
  • Demo - BI and Visualization Tools: Your Path to Data-Driven Decision Making -Tutorial by Ajelix
  • Demo - Ajelix Excel Assistant for improved productivity
  • Demo - Ajelix AI Excel Assistant Customer Dashboard
  • Review - Create Professional Excel Spreadsheets Automatically with AI Template Generator! Ajelix
  • Review - AI Excel Template Generator - Create Professional Templates - Open AI in Excel - Ajelix Excel Tools

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 Ajelix and NumPy)
Spreadsheets
100 100%
0% 0
Data Science And Machine Learning
Excel Tools
100 100%
0% 0
Data Science Tools
0 0%
100% 100

Questions & Answers

As answered by people managing Ajelix and NumPy.

Why should a person choose your product over its competitors?

Ajelix's answer

Unique value proposition.

What makes your product unique?

Ajelix's answer

One platform for AI spreadsheet tools and Business intelligence platform. An extensive list of AI features to speed up data analytics tasks.

How would you describe the primary audience of your product?

Ajelix's answer

Managers, team leads, and small business owners.

User comments

Share your experience with using Ajelix and NumPy. 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 Ajelix and NumPy

Ajelix Reviews

  1. Great for excel formula and vba script writing

    The ability to transform my text into excel formula is amazing. I don't have to search online for formulas or ask for help from colleagues.

    ๐Ÿ‘ Pros:    Nice dashboard|Great customer support|Easy to use

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 Ajelix. While we know about 122 links to NumPy, we've tracked only 2 mentions of Ajelix. 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.

Ajelix mentions (2)

  • LPT Take a cheap, low cost or free excel course.
    An Excel plugin This is just one Excel plugin. There are others.... Times have changed very rapidly in the last few months - and things might not be perfect, but they will get there. Source: about 3 years ago
  • BING IS NOW THE DEFAULT SEARCH FOR CHATGPT
    There are a few Text to PowerPoints and this one helps a ton with understanding and analyzing data sheets. Not completely automated but it helps a lot. Not plugins unfortunately. Source: about 3 years ago

NumPy mentions (122)

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What are some alternatives?

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

Excel formula bot - Transform text instructions into Excel formulas in seconds with AI

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

ExcelMaster.ai - The best AI to handle complex formulas and VBA tasks, better than Copilot, ChatGPT, and other 'toy' formula bots. It quickly understands your needs through conversation, automates tasks, saves you time, and is perfect for Excel professionals.

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

The Bricks - The AI Spreadsheet to Create Reports, Presentations, Charts, and Visuals

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