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Stanford.NLP for .NET

Full port of Stanford NLP packages to .NET and available as a NuGet package.

Status
UnmaintainedNo commits in 886 days.
Last checked
Aging · Sep 4, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

Stanford.NLP for .NET is a comprehensive natural language processing library that brings the power of Stanford's Java-based NLP tools to the .NET ecosystem, enabling developers to perform advanced text analysis tasks in C# and other .NET languages.

The only comprehensive NLP library that brings the robust Stanford NLP tools to the .NET ecosystem, enabling developers to perform advanced text analysis tasks directly in their preferred language.

When it fits — and when it doesn’t

A good fit for

  • Developers working in the .NET ecosystem who need to integrate advanced NLP capabilities into their projects

  • Teams building applications that require text analysis and processing, such as sentiment analysis or entity extraction

Look elsewhere if

  • Projects requiring real-time streaming NLP capabilities (Stanford.NLP for .NET is designed for batch processing)

  • Developers who prefer cloud-based services over local installations

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Steep learning curve due to Java heritage

    The library closely follows the Java-based Stanford NLP APIs, which can be difficult for .NET developers unfamiliar with these patterns.

  2. 02

    Limited documentation specific to .NET

    Most of the documentation is geared towards the original Java implementation, requiring users to translate concepts and examples manually.

  3. 03

    Performance overhead due to interop with Java

    The library relies on interoperability between .NET and Java, which can introduce performance penalties compared to native .NET implementations.

  4. 04

    Small community and limited support

    As a niche port of Stanford NLP for .NET, the user base is smaller, leading to fewer resources and slower response times for issues and feature requests.

What it does well

  • Full port of Stanford NLP packages to .NET

  • Available as a NuGet package for easy integration into .NET projects

  • Supports various NLP tasks such as tokenization, part-of-speech tagging, named entity recognition

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

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Set up Stanford.NLP for .NET

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →