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Machine Learning · head to head

Keras vs Lindy

Keras logo

Keras

Machine Learning

Deep learning API for humans

From
Free
Free plan
Yes
Full reviewWebsite
Lindy logo

Lindy

AI

AI teammate that automates work across your entire software stack

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • Each has a real cost: Keras limited customization compared to TensorFlow; advanced users may find constraints in complex model designs; Lindy requires per-user subscription, which scales costs with team size
  • They diverge on capability: Keras covers Sequential and Functional API, Lindy covers Slack integration.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Keras and Lindy actually diverge.

Attributes where Keras and Lindy differ
AttributeKerasLindy
Pricing modelopen-sourcePer-user subscription with shared credit pool
PlatformsPython, Google Colab, JupyterWeb, Slack, Email, Mobile
CategoryMachine LearningAI
Founded2015Unknown

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 Keras

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

Only in Lindy

  • Slack integration
  • Email automation
  • Meeting transcription
  • Scheduled routines
  • 1,000+ app integrations
  • Skill library
  • Editable memory
  • MCP support

What people use each for

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

Keras

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

Lindy

  • Automating email and calendar management across teamsnot Keras
  • Transcribing and summarizing meetings automaticallynot Keras
  • Updating CRM systems with meeting notes and leadsnot Keras
  • Generating daily reports and weekly briefsnot Keras
  • Processing structured data from multiple applicationsnot Keras

Where each one falls short

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

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

Lindy

  • Requires per-user subscription, which scales costs with team size
  • Limited free trial period of 7 days may not allow full evaluation
  • Credit system complexity could be confusing for new users
  • Not designed for technical teams as primary tool

Pricing, plan by plan

Keras

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

Lindy

Free
  • Free TrialFree
    • 7-day free trial for new team members joining via Slack
  • Plus$29.99/month
    • 3,000 credits per month
    • Slack integration
    • Email automation
  • Pro$99.99/month
    • 15,000 credits per month
    • All Plus features
    • Advanced automation
  • Max$199.99/month
    • 35,000 credits per month
    • All Pro features
    • Priority support

Which should you pick?

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

Choose Lindy if

  • You need slack integration.
  • You want to start without paying.
  • You work on Web, Slack, Email, Mobile.
  • You also want email automation.
Lindy review

Questions people ask

Is Keras or Lindy better?
Neither clearly leads. Keras starts at Free and Lindy at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Keras or Lindy?
Keras starts at Free and Lindy at Free.
Does Keras or Lindy run on more platforms?
Keras runs on Python, Google Colab, Jupyter. Lindy runs on Web, Slack, Email, Mobile.
Can I use Keras for free?
Both have a free tier, so you can try either at no cost before committing.
What is Keras best used for?
Keras is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what Lindy is typically brought in for.
What can Keras do that Lindy cannot?
Keras covers Sequential and Functional API, Pre-built neural network layers, Model training and evaluation, Transfer learning. Lindy covers Slack integration, Email automation, Meeting transcription, Scheduled routines.

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
Lindy: How does Lindy maintain data privacy and security?

Lindy is SOC 2 Type II, GDPR, HIPAA, and PIPEDA compliant. Data is encrypted in transit and at rest. The platform never sells your data or uses it to train models. Enterprise plans include signed BAAs and audit logs.

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
Lindy: Can we start with a free trial?

New team members joining through Slack receive a 7-day free trial before being billed. Direct signups are charged immediately. There is no permanent free tier after the trial.

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
Lindy: How many applications can Lindy integrate with?

Lindy connects to over 1,000 applications including Gmail, Notion, HubSpot, GitHub, Stripe, and others, with support for Model Context Protocol servers for custom integrations.

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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