The Best astropy Alternatives in 2026

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

LangChain’s reference docs cover packages for LangChain, LangGraph, agents, LangSmith, and integrations.

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

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

Use Intake, a Python package, to find, load, and share data in data science projects.

Conda manages binary packages and software environments across major operating systems and platforms.

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

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.

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.

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

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

The igraph site offers network analysis software and describes igraph as a network analysis package.

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

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.

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

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

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.