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catalyst

curiosity-ai/catalyst

C# NLP library for fast pre-trained models and embeddings training

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

33views this month

860 stars86 forksLast push Sep 17, 2026 C# MIT

Decision brief

Catalyst provides fast NLP functionalities in C#, including pre-trained models and embedding training capabilities similar to spaCy but with .NET ecosystem integration.

Good fit when

  • When your project is primarily in C# or you are deeply embedded within the .NET ecosystem, providing a seamless integration experience.
  • If speed optimization for NLP tasks like embeddings training is critical due to performance constraints and you prefer tools inspired by spaCy's design.

Avoid when

  • When your preferred development language is not C#, as Catalyst may require additional setup or effort compared to libraries native in other languages.
  • If extensive customization of NLP models beyond embeddings training and entity recognition is required, since Catalyst might offer fewer advanced features than more mature tools.

Observed Jul 17, 2026 · Source: enrich:decision_facts

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Maintenance and security

Full trust report
Maintenance
Very active (2d since push)
As of Sep 20, 2026
Provenance
Not a fork · Organization account
As of Sep 20, 2026
Security (OSV)
No lockfile
As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

git clone https://github.com/curiosity-ai/catalyst

Similar tools

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Catalyst is an NLP library in C#, offering pre-trained models, embeddings training support, and entity recognition.

Capability facts

Languages
c#

Source: github.language · Sep 20, 2026

Categories

Tags

README

✨ Getting Started Using catalyst is as simple as installing its NuGet Package, and setting the storage to use our online repository. This way, models will be lazy loaded either from disk or downloaded from our online repository. Check out also some of the sample projects for more...

For agents

This page has a .md twin and JSON over the API.

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