The Best imbalanced-learn Alternatives in 2026

Class-imbalanced machine learning is supported by imbalanced-ensemble, a toolbox for ensemble methods and datasets.

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

Million builds open-source developer tools, datasets, and reinforcement learning environments for web and coding agents.

Jupyter Server documentation explains the server that supports Jupyter notebook applications.

This guide explains how to choose a license when publishing free software projects.

This guide explains how to use GitHub Actions to create a snake-eating contribution graph in a profile README.

Mockaroo generates custom test datasets in CSV, JSON, SQL, and Excel formats, with an API mocking tool for software testing.

The fastai deep learning library includes documentation and setup guidance, including instructions for use with Google Colab.

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

Search more than 100 technology references in DevDocs, an offline documentation browser for developers.

AstroML provides Python tools for machine learning and data mining in astronomy.

Explore the ReDoc interactive demo for OpenAPI-generated API reference documentation.

The SPDX License List provides standardized identifiers for commonly used software, data, hardware, and documentation licenses.

SynapseML provides distributed machine learning algorithms for Spark through its Python library.

mlxtend adds helper modules for Python data analysis and machine learning libraries.

Wind data sources can be accessed from Python with windML, a framework built on NumPy, SciPy, scikit-learn, and Matplotlib.

Web Scraping FYI explains web scraping technologies, concepts, and techniques in a technical knowledge base.

SVG Path Visualizer displays SVG path data and explains the commands that shape its vector drawing.

MLDB provides an open source database designed for machine learning projects.

Visualizer for neural network, deep learning and machine learning models.

Tablecloth provides a dataset manipulation API for the tech.ml.dataset library.

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

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.