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  1. Stackups
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  4. Spreadsheets As A Backend
  5. Airtable vs Swift AI

Airtable vs Swift AI

OverviewDecisionsComparisonAlternatives

Overview

Airtable
Airtable
Stacks1.0K
Followers890
Votes40
Swift AI
Swift AI
Stacks14
Followers52
Votes0

Airtable vs Swift AI: What are the differences?

Developers describe Airtable as "*Real-time spreadsheet-database hybrid *". Working with Airtable is as fast and easy as editing a spreadsheet. But only Airtable is backed by the power of a full database, giving you rich features far beyond what a spreadsheet can offer. On the other hand, Swift AI is detailed as "A.I. and machine learning library written in Swift". Swift AI is a high-performance AI and machine learning library written entirely in Swift. We currently support iOS and OS X, with support for more platforms coming soon!.

Airtable belongs to "Spreadsheets as a Backend" category of the tech stack, while Swift AI can be primarily classified under "Machine Learning Tools".

Swift AI is an open source tool with 5.58K GitHub stars and 542 GitHub forks. Here's a link to Swift AI's open source repository on GitHub.

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Advice on Airtable, Swift AI

DetStartups
DetStartups

Nov 11, 2019

Needs advice

I'm trying to set up an ideally "no- code" way to have a backend of 3 different tables and be able to find a value in table #3 (contains businesses & cities) by first finding a record in table #1 (7,000+ zip codes) that corresponds to a city (table #2 has the unique cities), and then finding which businesses are located in these cities ( in this specific, original zipcode lookup). And return the business and a description via an API to a front-end results page, which happens to be a WordPress page - but doesn't need to be. I've tried Airtable's API, AirPress (a finicky WordPress plugin for Airtable's API), and I've looked at Sheetsu and a similar spreadsheet as backend and a simple API. I run into the issue where they work fine when you just need to query 1 table, but when you need to use the result from that query in another query to a different table. I'm back in SQL land - where sure it could be done with SQLite - needing to probably create an intersection table or a JOIN and build an API off of that. Is there a way to accomplish what I want without going back to SQL queries and some API?

59.9k views59.9k
Comments

Detailed Comparison

Airtable
Airtable
Swift AI
Swift AI

Working with Airtable is as fast and easy as editing a spreadsheet. But only Airtable is backed by the power of a full database, giving you rich features far beyond what a spreadsheet can offer.

Swift AI is a high-performance AI and machine learning library written entirely in Swift. We currently support iOS and OS X, with support for more platforms coming soon!

Attachments;Link Tables;Fully mobile;Instant collaboration;Easily undo mistakes
Feed-Forward Neural Network; Fast Matrix Library
Statistics
Stacks
1.0K
Stacks
14
Followers
890
Followers
52
Votes
40
Votes
0
Pros & Cons
Pros
  • 19
    Powerful and easy to use
  • 8
    Robust and dynamic
  • 6
    Quick UI Layer
  • 4
    Practical built in views
  • 3
    Robust API documentation
No community feedback yet
Integrations
No integrations available
Swift
Swift

What are some alternatives to Airtable, Swift AI?

TensorFlow

TensorFlow

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

scikit-learn

scikit-learn

scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.

PyTorch

PyTorch

PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.

Keras

Keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/

Kubeflow

Kubeflow

The Kubeflow project is dedicated to making Machine Learning on Kubernetes easy, portable and scalable by providing a straightforward way for spinning up best of breed OSS solutions.

TensorFlow.js

TensorFlow.js

Use flexible and intuitive APIs to build and train models from scratch using the low-level JavaScript linear algebra library or the high-level layers API

Polyaxon

Polyaxon

An enterprise-grade open source platform for building, training, and monitoring large scale deep learning applications.

Streamlit

Streamlit

It is the app framework specifically for Machine Learning and Data Science teams. You can rapidly build the tools you need. Build apps in a dozen lines of Python with a simple API.

MLflow

MLflow

MLflow is an open source platform for managing the end-to-end machine learning lifecycle.

H2O

H2O

H2O.ai is the maker behind H2O, the leading open source machine learning platform for smarter applications and data products. H2O operationalizes data science by developing and deploying algorithms and models for R, Python and the Sparkling Water API for Spark.

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