Software Alternatives, Accelerators & Startups

NumPy VS Airtable

Compare NumPy VS Airtable and see what are their differences

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Airtable logo Airtable

Airtable works like a spreadsheet but gives you the power of a database to organize anything. Sign up for free.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Airtable Landing page
    Landing page //
    2023-10-19

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

Airtable videos

Airtable API Tutorial With cURL and JavaScript

More videos:

  • Review - Airtable Review | Features, Pricing & Team Use
  • Review - Airtable vs. Google Sheets
  • Review - airtable review

Category Popularity

0-100% (relative to NumPy and Airtable)
Data Science And Machine Learning
Project Management
0 0%
100% 100
Data Science Tools
100 100%
0% 0
No Code
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 NumPy and Airtable

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

Airtable Reviews

  1. Airtable: Spreadsheets + Databases = Efficiency

    Airtable is a powerful cloud-based software that combines spreadsheets and databases, offering real-time collaboration and customizable features for efficient task management1.

    🏁 Competitors: monday.com, ClickUp, Smartsheet
    👍 Pros:    Free forever plan and affordable paid options starting at $10 per month.|Visually appealing and user-friendly interface.|Pre-made templates for easy setup and use.|Real-time collaboration and communication.|Customizable features for task management.
    👎 Cons:    Limited project customization without a paid plan.|Top-tier accounts required for gantt tools.|May take time to learn and grasp advanced features.

Breeze triumphs over Airtable for every user
Airtable has a steep learning curve. For new users, especially those not familiar with databases or spreadsheets, Airtable's interface and functionalities is challenging to grasp. You don't need any training to use Breeze - it has a simple and user friendly user interface with a clear workflow.
Source: www.breeze.pm
The Ultimate List of 20 Best AI Work Management Tools
Airtable AI: Airtable employs AI to analyze and categorize data, automating data creation and enhancing data organization, allowing teams to extract insights and make data-driven decisions more effectively.
Source: ppm.express
12 Best ClickUp Alternatives for Innovative Management in 2023
Benefits of Airtable compared to ClickUp: Both Airtable and ClickUp are great for automating and managing projects. However, Airtable gives more flexible integrations that offer more than project management.
Source: ayanza.com
The Flexible, Customizable and Cost-Effective Airtable Alternative
Trying to adapt to many confusing features that you do not even use in a powerful project management tool will distract you from taking quick actions. However, the key feature expected from the Airtable and Airtable alternatives is that it saves you from complex online spreadsheets and speeds up to you.Otherwise, it will be no different than using another version of Excel,...
Source: www.retable.io
Zapier: The $5B unbundling opportunity
Airtable and Reclaim have replaced many integration use-cases by creating feature-rich versions of the products most commonly involved in Zapier integrations (spreadsheets and calendars respectively).

Social recommendations and mentions

Airtable might be a bit more popular than NumPy. We know about 129 links to it since March 2021 and only 107 links to NumPy. 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 / 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
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Airtable mentions (129)

  • Growing a side-project to 100k Unique Visitors in one week
    For the backend, I opted for Airtable as a database. It's a simple, no-code solution that I've used before. It's not the most powerful database, but it's perfect for a project like this. I could easily add, edit, and delete records, and it has an embeddable form functionality that I used for user submissions. - Source: dev.to / about 2 months ago
  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Airtable.com — Looks like a spreadsheet, but it's a relational database unlimited bases, 1,200 rows/base, and 1,000 API requests/month. - Source: dev.to / 3 months ago
  • How to generate links to a record to view it in an Interface?
    The ?XXXXX part of the URL identifies the type of interface page it is. Just copy that and then your formula is just "https://airtable.com.../...?XXXXXX=" & RECORD_ID() I'm not sure it works in every type of interface page (where you've started from a blank page for example). There has to be something to identify the record viewed from the page, if you see what I mean. Source: 9 months ago
  • Working on a personal app for data tracking. looking for suggestions
    So I started building something on airtable.com that would allow me to easily track updates for each batch. What in your experience would make sense to track that I may be missing? Source: 9 months ago
  • Writers, could you give tips on how you plan a fic
    For character sheets, timelines and having records of chapters and scenes, I really really love Airtable. I have some examples here. Source: 10 months ago
View more

What are some alternatives?

When comparing NumPy and Airtable, 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.

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

Trello - Infinitely flexible. Incredibly easy to use. Great mobile apps. It's free. Trello keeps track of everything, from the big picture to the minute details.

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

Microsoft Teams - Microsoft Teams provides the enterprise-level security, compliance and management features you expect from Office 365, including broad support for compliance standards, and eDiscovery and legal hold for channels, chats, and files.