Software Alternatives, Accelerators & Startups

Keras VS Airtable

Compare Keras VS Airtable and see what are their differences

Keras logo Keras

Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Airtable logo Airtable

Airtable works like a spreadsheet but gives you the power of a database to organize anything. Sign up for free.
  • Keras Landing page
    Landing page //
    2023-10-16
  • Airtable Landing page
    Landing page //
    2023-10-19

Airtable

$ Details
-
Release Date
2013 January
Startup details
Country
United States
State
California
Founder(s)
Andrew Ofstad
Employees
250 - 499

Keras videos

3. Deep Learning Tutorial (Tensorflow2.0, Keras & Python) - Movie Review Classification

More videos:

  • Review - Movie Review Classifier in Keras | Deep Learning | Binary Classifier
  • Review - EKOR KERAS!! Review and Bike Check DARTMOOR HORNET 2018 // MTB Indonesia

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 Keras 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 Keras and Airtable

Keras Reviews

10 Python Libraries for Computer Vision
TensorFlow and Keras are widely used libraries for machine learning, but they also offer excellent support for computer vision tasks. TensorFlow provides pre-trained models like Inception and ResNet for image classification, while Keras simplifies the process of building, training, and evaluating deep learning models.
Source: clouddevs.com
25 Python Frameworks to Master
Keras is a high-level deep-learning framework capable of running on top of TensorFlow, Theano, and CNTK. It was developed by François Chollet in 2015 and is designed to provide a simple and user-friendly interface for building and training deep learning models.
Source: kinsta.com
15 data science tools to consider using in 2021
Keras is a programming interface that enables data scientists to more easily access and use the TensorFlow machine learning platform. It's an open source deep learning API and framework written in Python that runs on top of TensorFlow and is now integrated into that platform. Keras previously supported multiple back ends but was tied exclusively to TensorFlow starting with...

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

Based on our record, Airtable should be more popular than Keras. It has been mentiond 129 times since March 2021. 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.

Keras mentions (31)

  • My Favorite DevTools to Build AI/ML Applications!
    As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development. - Source: dev.to / about 1 month ago
  • Getting Started with Gemma Models
    After setting the variables for the environment, the next step is to install dependencies. To use Gemma, KerasNLP is the dependency used. KerasNLP is a collection of natural language processing (NLP) models implemented in Keras and runnable on JAX, PyTorch, and TensorFlow. - Source: dev.to / about 2 months ago
  • How popular are libraries in each technology
    Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks. - Source: dev.to / 12 months ago
  • Official Question Thread! Ask /r/photography anything you want to know about photography or cameras! Don't be shy! Newbies welcome!
    I'm not aware of anything off-the-shelf, but if you have sufficient programming experience, one way to do this would be to build a large dataset of reference images and pictures and use something like keras to train a convolutional neural network on them. Source: about 1 year ago
  • How to query pandas DataFrames with SQL
    Pandas comes with many complex tabular data operations. And, since it exists in a Python environment, it can be coupled with lots of other powerful libraries, such as Requests (for connecting to other APIs), Matplotlib (for plotting data), Keras (for training machine learning models), and many more. - Source: dev.to / over 1 year 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 / 3 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 / 4 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: 10 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: 10 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: 11 months ago
View more

What are some alternatives?

When comparing Keras and Airtable, you can also consider the following products

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

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.

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

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.

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

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.