The Best microsoft/semantic-kernel Alternatives in 2026

Search code locally by meaning with SeaGOAT, a local-first semantic code search engine.

Efficient fine-tuning of quantized language models is the focus of QLoRA, a method documented in this repository.

Gito uses language models to review GitHub code for high impact issues such as vulnerabilities, bugs, and maintainability concerns.

Gitingest turns a GitHub repository URL into a text digest suited to language model prompts.

DSPy is a framework for programming language models, with algorithms to optimize prompts and model weights.

NerdyData searches website source code for technologies and HTML, JavaScript or CSS tags across indexed domains.

Browse large JSONL, Parquet, and CSV datasets in VS Code with the Bread Dataset Viewer extension.

ArtiVC provides command-line data versioning for managing large files in cloud storage.

Mars provides tensor-based tools for large-scale computation with NumPy, Pandas, and scikit-learn.

This Node.js library implements Latent Dirichlet Allocation topic modeling in JavaScript.

GPT-Migrate helps move a codebase from one programming language or framework to another.

compromise provides natural language processing tools for JavaScript applications.

Segment Chinese text with jieba, a Python package for natural language processing.

Python code can be analyzed with pylyzer, a static analyzer and language server.

TextCL provides preprocessing tools for cleaning text data used in natural language processing tasks.

crystal-fann provides Crystal language bindings for the FANN artificial neural network library.

nlp.js provides tools for building bots with entity extraction, sentiment analysis, and language identification.

Julia-language backend combined with the Jupyter interactive environment.

dl-translate is a library for translating text between languages using transformer models.

A curated collection of servers implementing the Model Context Protocol.

Machine learning pipelines can use whylogs, an open-source library for logging data quality and model performance.

Netron displays neural network, deep learning, and machine learning models across formats such as ONNX, TensorFlow, and PyTorch.

Kinho’s Neural repository provides an API for deep learning and feedforward neural network models.

Prediction with gradient boosting regression tree models is implemented in leaves, a Go software library.