kitio.aispaCy vs DeepPavlov
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. spaCy 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
- Named entity recognition
- Dependency parsing
- Pretrained pipelines for 25 languages
- Transformer-based training
- LLM integration via spacy-llm
- Syntax and NER visualizers
- Pretrained NLP models
- Question answering
- Named entity recognition
- Text classification
- Config-based pipelines
- Docker images
| Feature | spaCy | DeepPavlov |
|---|---|---|
| Best for | Open-source Python library for production natural language processing | 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 | Explosion | DeepPavlov |
| Based in | Germany | Russia |
| Rating | No ratings yet | No ratings yet |
| Key features |
|
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Both offer: Named entity recognition.
Pricing compared
spaCy 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 Nov 5, 2026 or later. Plans change often, so confirm on each tool's site before you buy.
Pros and cons
spaCy
- Fast enough for very large text volumes
- Free and open source
- Mature plugin ecosystem
- Requires Python programming skills
- Pretrained pipelines cover only 25 languages
- Custom training needs labeled data
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 spaCy if you want:
- Fast enough for very large text volumes
- Free and open source
- Mature plugin ecosystem
Watch out: requires python programming skills.
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.
spaCy vs DeepPavlov FAQ
What is the difference between spaCy and DeepPavlov?
spaCy: Open-source Python library for production natural language processing. DeepPavlov: Open-source Python library of NLP models for QA, NER and classification. Both are models & apis tools.
Is spaCy or DeepPavlov cheaper?
spaCy starts at Free and DeepPavlov starts at Free. Check both pricing pages for current plans.
Do spaCy and DeepPavlov have free plans?
spaCy: Yes, fully free. DeepPavlov: Yes, fully free.
Who makes spaCy?
spaCy is made by Explosion, based in Germany.
Who makes DeepPavlov?
DeepPavlov is made by DeepPavlov, based in Russia.
Which should I choose, spaCy or DeepPavlov?
Choose spaCy if you value fast enough for very large text volumes and free and open source. Choose DeepPavlov if you value free and open source and many ready-to-use nlp models.