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Catalyst

Catalyst is an open-source C# natural-language-processing library for .NET that provides pre-trained language models, tokenization, linguistic annotation, embeddings and configurable entity recognition.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Catalyst — OpenViST project profile in AI Developer Tools & SDKs.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Catalyst when a C# or .NET application needs integrated local text analysis, entity extraction, linguistic annotation or embedding workflows and the team can target the repository’s current .NET versions.

Who it is for

  • C# developers building text-processing applications
  • .NET teams adding natural-language understanding to software
  • Developers creating document-embedding or domain-specific language workflows
  • Teams extracting structured entities from text in self-hosted or server environments

Documented uses

  • Process documents through a .NET NLP pipeline
  • Detect language, tokenize text and assign part-of-speech tags
  • Recognize named entities with gazetteer, rule-based or perceptron-based models
  • Train word and document embeddings with FastText or StarSpace support
  • Store and reload models using stream-based serialization
Before you choose

Requirements & limits

The repository is public and identifies Catalyst as MIT-licensed open-source software. Installation is documented through NuGet, with separate language-model packages.

  • The current repository documents .NET 9 and .NET 10 targets.
  • Language-specific models require separate NuGet packages and pre-registration.
  • Model storage can use disk storage, with lazy loading from disk or the project’s online repository.
  • The library supports Windows, Linux, macOS and ARM environments where .NET is supported.
  • Older Catalyst and language-package combinations may be incompatible.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up an English Catalyst text-processing pipeline

Install Catalyst and an English language package, configure model storage, and process one English document.

Before you start

  • A C#/.NET project targeting .NET 9 or .NET 10.
  • The Catalyst NuGet package.
  • The corresponding Catalyst English language-model NuGet package.
  • Access to the Catalyst model repository or configured disk storage.

Steps

  1. Install the Catalyst NuGet package and the required language package.

  2. Register English with Catalyst.Models.English.Register().

  3. Set storage to a DiskStorage location.

  4. Create an English pipeline with Pipeline.ForAsync(Language.English), create a Document, and pass it to nlp.ProcessSingle(doc).

Expected outcome

The example produces a processed English document that can be serialized with doc.ToJson().

Guide limitations

  • The repository notes that language packages built against older Catalyst versions may not load.
  • The documented current targets are .NET 9 and .NET 10; earlier listed targets are no longer built.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
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Sources checked
3 October 2026
Original website title
curiosity-ai/catalyst · Official homepage title · retained in its source language
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