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Spreadsheet & Data · head to head

Fibery vs Keras

Fibery logo

Fibery

Spreadsheet & Data

Connected workspace for product teams

From
Free
Rated
-
Full reviewWebsite
Keras logo

Keras

Machine Learning & Data Science

Deep learning API for humans

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Fibery free plan limited to 10 users and 10 guests; Keras limited customization compared to TensorFlow; advanced users may find constraints in complex model designs
  • They diverge on capability: Fibery covers Customizable databases, Keras covers Sequential and Functional API.

Where they differ

Only the attributes on which Fibery and Keras actually diverge.

Attributes where Fibery and Keras differ
AttributeFiberyKeras
Pricing modelsubscriptionopen-source
PlatformsWebPython, Google Colab, Jupyter
CategorySpreadsheet & DataMachine Learning & Data Science
Founded20182015

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

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 Fibery

  • Customizable databases
  • Bi-directional linking
  • Whiteboards
  • Documents
  • Timelines
  • Formulas
  • Automations
  • API access

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.

Fibery

  • Work management and product development platformnot Keras
  • Relational database with multiple view types (table, board, gallery, timeline, calendar, Gantt)not Keras
  • Knowledge base and document collaborationnot Keras

Keras

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

Where each one falls short

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

Fibery

  • Free plan limited to 10 users and 10 guests
  • Free plan limited to 10 databases
  • Enterprise plan requires minimum of 25 paid users
  • SAML SSO available only on Enterprise plan

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

Fibery

Free

No published plan breakdown. See the Fibery review.

Keras

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

Which should you pick?

Choose Fibery if

  • You need customizable databases.
  • You want to start without paying.
  • You also want bi-directional linking.
Fibery 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 Fibery or Keras better?
Neither clearly leads. Fibery 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, Fibery or Keras?
Fibery starts at Free and Keras at Free.
Does Fibery or Keras run on more platforms?
Fibery runs on Web. Keras runs on Python, Google Colab, Jupyter.
Can I use Fibery for free?
Both have a free tier, so you can try either at no cost before committing.
What is Fibery best used for?
Fibery is most often used for work management and product development platform, relational database with multiple view types (table, board, gallery, timeline, calendar, gantt), knowledge base and document collaboration. Of those, work management and product development platform and relational database with multiple view types (table, board, gallery, timeline, calendar, gantt) are not what Keras is typically brought in for.
What can Fibery do that Keras cannot?
Fibery covers Customizable databases, Bi-directional linking, Whiteboards, Documents. 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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