Education · head to head
DataCamp vs Keras
The short version
- Each has a real cost: DataCamp free tier limited to first chapter of every course only; Keras limited customization compared to TensorFlow; advanced users may find constraints in complex model designs
- They diverge on capability: DataCamp covers Interactive courses, Keras covers Sequential and Functional API.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which DataCamp and Keras actually diverge.
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 DataCamp
- Interactive courses
- Hands-on projects
- Skill assessments
- Career tracks
- Certifications
- Workspace
- Mobile app
- Practice mode
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.
DataCamp
- Interactive data science and AI education with 790+ coursesnot Keras
- Career-track learning (36-44 hours) for role-specific competencynot Keras
- Team upskilling with admin dashboards and learning activity trackingnot Keras
- Hands-on projects, certifications, and industry-recognised credentialsnot Keras
Keras
- Machine learningnot DataCamp
- Data analysisnot DataCamp
- Model trainingnot DataCamp
- Predictive analyticsnot DataCamp
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
DataCamp
- Free tier limited to first chapter of every course only
- Premium plan requires annual billing with no monthly option
- Teams plan requires minimum 2+ users with annual upfront billing
- Free tier excludes access to 790+ courses and skill assessments
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
DataCamp
Free- BasicFree
- First chapter of every course
- All cheat sheets and tutorials
- Mobile learning
- Premium$28/month
- 790+ courses
- Projects
- Certificates
- Teams$28/month_per_user
- Everything in Premium
- Admin dashboard
- License management
Keras
Free- Open SourceFree
- High-level API
- Pre-built layers
- Model serialization
Which should you pick?
Choose DataCamp if
- You need interactive courses.
- You want to start without paying.
- You work on Web, Mobile.
- You also want hands-on projects.
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.
Questions people ask
- Is DataCamp or Keras better?
- Neither clearly leads. DataCamp 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, DataCamp or Keras?
- DataCamp starts at Free and Keras at Free.
- Does DataCamp or Keras run on more platforms?
- DataCamp runs on Web, Mobile. Keras runs on Python, Google Colab, Jupyter.
- Can I use DataCamp for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is DataCamp best used for?
- DataCamp is most often used for interactive data science and ai education with 790+ courses, career-track learning (36-44 hours) for role-specific competency, team upskilling with admin dashboards and learning activity tracking, hands-on projects, certifications, and industry-recognised credentials. Of those, interactive data science and ai education with 790+ courses and career-track learning (36-44 hours) for role-specific competency are not what Keras is typically brought in for.
- What can DataCamp do that Keras cannot?
- DataCamp covers Interactive courses, Hands-on projects, Skill assessments, Career tracks. Keras covers Sequential and Functional API, Pre-built neural network layers, Model training and evaluation, Transfer learning.
Answered from the vendors’ own pages
DataCamp: What does DataCamp's free plan include?
DataCamp Basic is free and includes access to the first chapter of every course, all cheat sheets, tutorials, mobile learning, live code-alongs, competitions, a professional profile, and skill assessments.
SourceKeras: 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.
SourceDataCamp: How much does DataCamp Premium cost annually?
Premium costs $28 per month when billed annually, and DataCamp advertises savings of $90 with yearly billing compared to monthly rates. Premium unlocks 790+ courses, projects, certificates, and priority support.
SourceKeras: 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.
SourceDataCamp: Does DataCamp offer team or multi-user pricing?
Yes, DataCamp Teams is available for teams of 2 and up at $28 per user per month billed annually. It includes admin dashboard, license management, team performance reports, and SSO options (Google or Microsoft).
SourceKeras: 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.
SourceDataCamp: What currencies does DataCamp accept?
DataCamp pricing is available in USD, GBP, CAD, AUD, EUR, BRL, MXN, and INR, allowing customers to pay in their local currency.
SourceKeras: 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.
SourceKeras: 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.
SourceRelated pages
Other head to heads
- DataCamp vs Codecademy
- DataCamp vs Miro Education
- DataCamp vs Khan Academy
- DataCamp vs Pluralsight
- DataCamp vs Babbel
- DataCamp vs Rosetta Stone
- DataCamp vs Articulate 360
- DataCamp vs Labster
- DataCamp vs Wooclap
- DataCamp vs Blackboard
- DataCamp vs 360Learning
- DataCamp vs Gimkit
- DataCamp vs Elevate
- DataCamp vs Infinite Campus
- DataCamp vs Jackrabbit Class
- DataCamp vs Memrise
- DataCamp vs Pl@ntNet
- DataCamp vs PyTorch
- DataCamp vs scikit-learn
- DataCamp vs Python
- DataCamp vs Anaconda
- DataCamp vs AWS SageMaker
- DataCamp vs Azure Machine Learning
- DataCamp vs DataRobot
- DataCamp vs Jupyter
- DataCamp vs H2O.ai
- DataCamp vs Dataiku
- DataCamp vs Pinecone
- DataCamp vs Groq
- DataCamp vs Weka
- DataCamp vs BentoML
- DataCamp vs ClearML
- DataCamp vs Cohere
- DataCamp vs Dask
- DataCamp vs Fal AI
- Keras vs Codecademy
- Keras vs Miro Education
- Keras vs Khan Academy
- Keras vs Pluralsight
- Keras vs Babbel
- Keras vs Rosetta Stone
- Keras vs Articulate 360
- Keras vs Labster
- Keras vs Wooclap
- Keras vs Blackboard
- Keras vs 360Learning
- Keras vs Gimkit
- Keras vs Elevate
- Keras vs Infinite Campus
- Keras vs Jackrabbit Class
- Keras vs Memrise
- Keras vs Pl@ntNet
- Keras vs PyTorch
- Keras vs scikit-learn
- Keras vs Python
- Keras vs Anaconda
- Keras vs AWS SageMaker
- Keras vs Azure Machine Learning
- Keras vs DataRobot
- Keras vs Jupyter
- Keras vs H2O.ai
- Keras vs Dataiku
- Keras vs Pinecone
- Keras vs Groq
- Keras vs Weka
- Keras vs BentoML
- Keras vs ClearML
- Keras vs Cohere
- Keras vs Dask
- Keras vs Fal AI


