nlquery VS Catalyst

Compare nlquery vs Catalyst and see what are their differences.

nlquery

Parser for end-user search-like queries and rule-based named entity recognition (NER) in context of tabular dataset schema. (by nreco)

Catalyst

🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models. (by curiosity-ai)
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nlquery Catalyst
1 1
6 689
- 3.2%
5.7 5.5
4 months ago 9 days ago
C# C#
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

nlquery

Posts with mentions or reviews of nlquery. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-29.

Catalyst

Posts with mentions or reviews of Catalyst. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-12.

What are some alternatives?

When comparing nlquery and Catalyst you can also consider the following projects:

Superpower - A C# parser construction toolkit with high-quality error reporting

ML.NET - ML.NET is an open source and cross-platform machine learning framework for .NET.

Sprache - A tiny, friendly, C# parser construction library

TensorFlow.NET - .NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.

numl - Machine Learning for .NET

F# Data - F# Data: Library for Data Access

Deedle - Easy to use .NET library for data and time series manipulation and for scientific programming

Accord.NET Extensions

m2cgen - Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

encog-dotnet-core

AForge.NET - AForge.NET Framework is a C# framework designed for developers and researchers in the fields of Computer Vision and Artificial Intelligence - image processing, neural networks, genetic algorithms, machine learning, robotics, etc.

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