The Best LLM Alternatives in 2026

This utility converts cURL commands into code for languages including Python and JavaScript.

ScribePal provides contextual insights, summaries, and browsing assistance through an AI browser extension.

TextBlob offers Python natural language processing tools, including tagging, noun phrase extraction, and sentiment analysis.

KoNLPy provides Korean natural language processing tools for Python applications.

Vaex provides out-of-core DataFrames for Python to explore and visualize large tabular datasets, with support for machine learning workflows.

Find coding answers from the command line with howdoi, an instant programming help tool.

Find the latest release version of a project with lastversion, a command-line tool 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.

spaCy provides Python natural language processing tools for entity recognition, tagging, parsing, and word vectors.

PyDy provides Python tools for modeling the dynamics of multibody mechanical systems.

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.

Grit provides declarative code search and transformation through its GritQL language.

PyMC provides Bayesian modeling and probabilistic programming tools for Python.

Beautiful Soup provides documentation and downloads for a Python library used to parse HTML.

Ruffus provides a Python library for building computation pipelines used in science and bioinformatics.

Build native interfaces with Slint, a declarative GUI toolkit for Rust, C++, JavaScript, and Python.

Astropy provides a core Python package for astronomy and an ecosystem of affiliated packages.

Statsmodels provides Python tools for inferential statistics, hypothesis testing, and regression.

Jupyter Widgets provides interactive Python objects for notebook interfaces, including controls such as sliders and text boxes.

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

NumPy provides n-dimensional arrays and numerical computing tools for Python.