spaCy
Production-grade Python library for natural language processing
- Also known as
- spacy
Available worldwide
What is spaCy?
An open-source NLP framework for building and deploying language processing systems in production. Supports tokenization, text classification, neural model training, and includes tools for model management, packaging, and workflow automation.
spaCy pricing
We don't have spaCy's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.
Free, open-source library
What spaCy does
The capabilities that matter for nlp apis, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Custom model training
- ✓
- Domain specific models
- ✓
- Deployment model
- Both
- Batch processing
- -
- Real time latency
- -
- Embeddings endpoint
- ✓
- Data residency EU
- -
- Open source
- ✓
- Pricing model
- Open source self host
Platform & deployment
Independently observed- CLI
- macOS
- Linux
- Windows
- Self-hosted
Integrations (3)
Independently observed- PyTorch
- OpenAI
- Hugging Face
Security & compliance
Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality
spaCy FAQ
Common questions about spaCy, answered from independent, dated evidence.
What is spaCy?
An open-source natural language processing library designed for building real-world applications. It excels at large-scale information extraction and has become an industry standard since 2015 with a robust ecosystem of plugins. It is indexed under NLP Apis.
Source: https://spacy.io
Is spaCy free to use?
spaCy is open source, so it can be self-hosted and used at no licence cost. It is released under the MIT licence. Pricing changes often, so verify at source before relying on it.
Source: https://spacy.io
What platforms does spaCy support?
spaCy supports Windows, macOS, Linux and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.
Source: https://spacy.io
Can spaCy be self-hosted?
Yes. spaCy can be deployed on-premise and self-hosted, so it does not have to run on the vendor's infrastructure.
Source: https://spacy.io
Is spaCy open source?
Yes. spaCy is published under the MIT licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.
spaCy alternatives
Other nlp apis we track, ranked by the same independent score.
- CohereEnterprise AI that you fully control and deploy according to your requirementsmedium · 55%
- NLTKlow · 25%
- TextRazorNLP API for extracting meaning and understanding from textlow · 24%
- Amazon ComprehendManaged natural language processing service for analyzing text and extracting structured insightsmedium · 54%
- Hugging Face TransformersAn open-source library for building and working with pre-trained transformer models for natural language, vision, audio, and multimodal tasks.low · 5%
- Stanford CoreNLPA Java library for extracting linguistic information from textlow · 34%
Compare spaCy
Side by side against other nlp apis, attribute by attribute, with a source on every value.
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for spaCy, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Release cadence | 89 | 0.08 | 7.2 | ✓ |
| Capabilities | 67 | 0.08 | 5.4 | ✓ |
| Development activity | 36 | 0.14 | 4.9 | ✓ |
| Stars | 86 | 0.05 | 4.0 | ✓ |
| Dependent projects | 70 | 0.05 | 3.8 | ✓ |
| Security score | 51 | 0.05 | 2.8 | ✓ |
| Integrations | 14 | 0.05 | 0.7 | ✓ |
| Security posture | 0 | 0.12 | 0.0 | - |
| Package downloads | 0 | 0.04 | 0.0 | - |
| Developer Q&A activity | 0 | 0.14 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 13 | mediumsource · 2026-08-26 · 65% |
Adoption
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 5 items | mediumsource · 2026-09-10 · 67% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Open source: Yes · Pricing model: open-source-self-host · Deployment model: both · Embeddings endpoint: Yes · Custom model training: Yes · Domain specific models: Yes | mediumsource · 2026-10-15 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 2 | mediumsource · 2026-09-14 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Python | highsource · 2026-10-15 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | MIT | highsource · 2026-10-15 · 95% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-08-19 · 75% |
Pricing
Release
Security
Is spaCy the right choice for you?
Tell us the job, the constraints and what you weigh most, and we will rank spaCy against the rest of the nlp apis we index, using the same dated evidence weighted your way.
Free to run, no account needed to start. How the evaluation works
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