The Best Slint Alternatives in 2026

Build native user interfaces with Slint, an open-source declarative GUI toolkit for Rust, C++, JavaScript, and Python.

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

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

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

emcee provides a Python toolkit for affine-invariant Markov chain Monte Carlo sampling.

Polars provides a Rust query engine for DataFrames, with a Python interface for data work.

Python package and project management is handled by uv, a Rust-based tool.

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

SmartScripter generates custom scripts in Excel VBA, Google Apps Script, Bash, JavaScript, PowerShell, and Python.

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

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.

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.

Use LLM, a command-line utility and Python library, to interact with large language models.

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

anywidget makes reusable widgets easier to build for notebooks and interactive applications.

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

The pandas project provides open-source Python tools for analyzing and manipulating data.

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

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

Jupytext lets users represent Jupyter notebooks as Markdown documents or Julia, Python, and R scripts.

Python developers can use Zipline’s event-driven library to backtest algorithmic trading strategies.

Exploratory data analysis in Python is the focus of Dora, a library with functions for cleaning, feature selection, visualization, and validation.