The Best Prophet Alternatives in 2026

Athina provides a collaborative development platform for building, testing, and monitoring AI features with a team.

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media.

Gensim supports efficient topic modeling of text semantics with its Python library.

Hex combines data notebooks, applications, and AI tools so teams can ask questions and build with organizational data.

Sourcetable combines spreadsheets and data analysis tools for creating financial models and working with datasets.

Hex is an AI analytics platform for exploring and analyzing data through conversation grounded in governed context.

PyCaret provides a low code AutoML platform for Python, with a scikit-learn native engine and React control plane.

nilearn provides Python tools for machine learning and neuroimaging analysis.

A Python package to assess and improve fairness of machine learning models.

The Featuretools Python library supports automated feature engineering and is published as open source.

Feature Engine provides Python tools for feature engineering and selection that are compatible with scikit-learn.

A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.

Python package which helps to debug machine learning classifiers and explain their predictions.

An open source Python library for drift detection in machine learning systems.

modAL provides a modular active learning framework for Python built on top of scikit-learn.

Spektral provides a Python framework for creating graph neural networks with Keras and TensorFlow.

The lightly Python library supports self supervised learning on images.

H2O AutoML automatically generates features and selections, with a no code AutoML offering.

Enables data-driven, interactive data analytics and collaborative documents.

Use Quadratic as an AI spreadsheet that connects to data and helps create explainable, shareable insights.

Open-source DMS (data management system) for powering data hubs and data portals.

Adala automates data labeling through an autonomous agent framework for organizing labeled datasets.

pytorch tabular provides a unified framework for deep learning models on tabular data.

PyTorch Frame provides a library for applying deep learning models to tabular data.