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Baserow vs Keras

Baserow logo

Baserow

Software

Open-source no-code database platform

From
Free
Rated
-
Full reviewWebsite
Keras logo

Keras

Software

Deep learning API for humans

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Baserow the free tier is capped at 3,000 rows and 2GB of storage per workspace; Keras limited customization compared to TensorFlow; advanced users may find constraints in complex model designs
  • They diverge on capability: Baserow covers Database tables, Keras covers Sequential and Functional API.

Where they differ

Only the attributes on which Baserow and Keras actually diverge.

Attributes where Baserow and Keras differ
AttributeBaserowKeras
Pricing modelfreemiumopen-source
PlatformsWeb, Api, Self-hostedPython, Google Colab, Jupyter
Founded20192015

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Baserow

  • Database tables
  • Multiple views
  • Forms
  • API access
  • Real-time collaboration
  • Templates
  • Plugins
  • Self-hosting

Only in Keras

  • Sequential and Functional API
  • Pre-built neural network layers
  • Model training and evaluation
  • Transfer learning
  • Model serialization
  • TensorFlow
  • JAX
  • PyTorch

What people use each for

The jobs each tool is most often brought in to do.

Baserow

  • Self-hosting an open source alternative to a spreadsheet databasenot Keras
  • Structured team data with Kanban, calendar and grid viewsnot Keras
  • Building internal tools on top of a database with an APInot Keras
  • Sharing data with external app users without giving them full seatsnot Keras

Keras

  • Machine learningnot Baserow
  • Data analysisnot Baserow
  • Model trainingnot Baserow
  • Predictive analyticsnot Baserow

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Baserow

  • The free tier is capped at 3,000 rows and 2GB of storage per workspace
  • Kanban, calendar and survey views need Premium at $10 per user per month billed yearly
  • Role-based permissions, audit logs and SSO require Premium or higher
  • Row limits are per workspace rather than per table, so splitting data across bases does not raise the ceiling
  • Automation runs are metered as credits, 2,000 a month on free

Keras

  • Limited customization compared to TensorFlow; advanced users may find constraints in complex model designs
  • Error messages can be vague and unhelpful, making debugging challenging
  • Smaller ecosystem and fewer pre-trained models than TensorFlow or PyTorch

Pricing, plan by plan

Baserow

Free
  • FreeFree
    • Unlimited rows
    • Core features
    • Community support
  • Premium$5/user/month
    • Row comments
    • Kanban view
    • Survey form

Keras

Free
  • Open SourceFree
    • High-level API
    • Pre-built layers
    • Model serialization

Which should you pick?

Choose Baserow if

  • You need database tables.
  • You want to start without paying.
  • You work on Web, Api, Self-hosted.
  • You also want multiple views.
Baserow review

Choose Keras if

  • You need sequential and functional api.
  • You want to start without paying.
  • You work on Python, Google Colab, Jupyter.
  • You also want pre-built neural network layers.
Keras review

Questions people ask

Is Baserow or Keras better?
Neither clearly leads. Baserow starts at Free and Keras at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Baserow or Keras?
Baserow starts at Free and Keras at Free.
Does Baserow or Keras run on more platforms?
Baserow runs on Web, Api, Self-hosted. Keras runs on Python, Google Colab, Jupyter.
Can I use Baserow for free?
Both have a free tier, so you can try either at no cost before committing.
What is Baserow best used for?
Baserow is most often used for self-hosting an open source alternative to a spreadsheet database, structured team data with kanban, calendar and grid views, building internal tools on top of a database with an api, sharing data with external app users without giving them full seats. Of those, self-hosting an open source alternative to a spreadsheet database and structured team data with kanban, calendar and grid views are not what Keras is typically brought in for.
What can Baserow do that Keras cannot?
Baserow covers Database tables, Multiple views, Forms, API access. Keras covers Sequential and Functional API, Pre-built neural network layers, Model training and evaluation, Transfer learning.

Answered from the vendors’ own pages

Keras: What is Keras?

Keras is a high-level deep learning API built on top of TensorFlow that simplifies building and training neural networks. Keras 3 supports multiple backends including TensorFlow, PyTorch, and JAX, making it backend-agnostic.

Source
Keras: What model architectures does Keras support?

Keras supports the Sequential model for linear stacks of layers, the Functional API for arbitrary graph architectures, and model subclassing for custom implementations. All approaches provide access to layers, optimizers, metrics, and callbacks.

Source
Keras: Can Keras models run on TPUs and GPUs?

Yes, Keras models can run on TPU Pods or large GPU clusters, be exported to run in browsers or on mobile devices, and be served via web APIs.

Source
Keras: Does Keras offer pre-trained models?

Yes, Keras provides pre-trained models through KerasHub and Keras Applications for common deep learning tasks like image classification, object detection, and NLP.

Source
Keras: Who should use Keras?

Keras is ideal for beginners and rapid prototyping due to its simplicity and user-friendly interface. Advanced users and production deployments may benefit more from lower-level frameworks like TensorFlow or PyTorch for greater customization.

Source
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