kitio.aiKeras vs DeepPavlov
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. Keras starts at Free and DeepPavlov starts at Free. Check both pricing pages for current plans.
At a glance
Best for
Category
Pricing model
Starting price
Free plan
Made by
Based in
Rating
Key features
- Multi-backend support
- Functional and sequential APIs
- KerasHub pretrained models
- KerasTuner hyperparameter search
- Keras RS recommenders
- Pretrained NLP models
- Question answering
- Named entity recognition
- Text classification
- Config-based pipelines
- Docker images
| Feature | Keras | DeepPavlov |
|---|---|---|
| Best for | Open-source deep learning library that runs on JAX, PyTorch and TF | Open-source Python library of NLP models for QA, NER and classification |
| Category | Models & APIs | Models & APIs |
| Pricing model | Free | Free |
| Starting price | Free | Free |
| Free plan | Yes, fully free | Yes, fully free |
| Made by | Keras team at Google | DeepPavlov |
| Based in | United States | Russia |
| Rating | No ratings yet | No ratings yet |
| Key features |
|
|
Pricing compared
Keras starts at Free and DeepPavlov starts at Free. Check both pricing pages for current plans.
Free plan
Cheapest paid plan
Top plan
Free trial
Prices in USD, checked Oct 29, 2026 or later. Plans change often, so confirm on each tool's site before you buy.
Pros and cons
Keras
- Free and open source
- Same code runs on three backends
- Pretrained models in KerasHub
- Thorough docs and examples
- Requires Python and ML knowledge
- Very custom research may need raw framework code
- No hosted training service
DeepPavlov
- Free and open source
- Many ready-to-use NLP models
- Works from Python or the CLI
- Built around pre-LLM model architectures
- Config files take time to learn
- Needs ML knowledge to train models
Which one should you choose?
Choose Keras if you want:
- Free and open source
- Same code runs on three backends
- Pretrained models in KerasHub
Watch out: requires python and ml knowledge.
Choose DeepPavlov if you want:
- Free and open source
- Many ready-to-use NLP models
- Works from Python or the CLI
Watch out: built around pre-llm model architectures.
Keras vs DeepPavlov FAQ
What is the difference between Keras and DeepPavlov?
Keras: Open-source deep learning library that runs on JAX, PyTorch and TF. DeepPavlov: Open-source Python library of NLP models for QA, NER and classification. Both are models & apis tools.
Is Keras or DeepPavlov cheaper?
Keras starts at Free and DeepPavlov starts at Free. Check both pricing pages for current plans.
Do Keras and DeepPavlov have free plans?
Keras: Yes, fully free. DeepPavlov: Yes, fully free.
Who makes Keras?
Keras is made by Keras team at Google, based in United States.
Who makes DeepPavlov?
DeepPavlov is made by DeepPavlov, based in Russia.
Which should I choose, Keras or DeepPavlov?
Choose Keras if you value free and open source and same code runs on three backends. Choose DeepPavlov if you value free and open source and many ready-to-use nlp models.