Alternatives

Mlxtend alternatives for AI agents.

Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.

Current skill

Mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

100
Quality
87
Trust
5.2K
Stars
#1

Pytorch Lightning

Similarity 149Trust 90Excellent 100

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

31K starsJun 10, 2026 pushml-automationPythonMachine Learning
$ npx skills add Lightning-AI/pytorch-lightning
#2

Darts

Similarity 147Trust 89Excellent 100

A python library for user-friendly forecasting and anomaly detection on time series.

9.4K starsJun 6, 2026 pushml-automationPythonMachine Learning
$ npx skills add unit8co/darts
#3

TabPFN

Similarity 145Trust 84Excellent 96

⚡ TabPFN: Foundation Model for Tabular Data ⚡

7.4K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add PriorLabs/TabPFN
#4

Keras

Similarity 141Trust 88Excellent 100

Deep Learning for humans

64K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add keras-team/keras
#5

Vision

Similarity 140Trust 88Excellent 100

Datasets, Transforms and Models specific to Computer Vision

18K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add pytorch/vision
#6

ChatterBot

Similarity 139Trust 89Excellent 100

ChatterBot is a machine learning, conversational dialog engine for creating chat bots

14K starsMar 24, 2026 pushml-automationPythonMachine Learning
$ npx skills add gunthercox/ChatterBot
#7

Nltk

Similarity 139Trust 88Excellent 100

NLTK Source

15K starsJun 11, 2026 pushml-automationPythonMachine Learning
$ npx skills add nltk/nltk
#8

Optuna

Similarity 139Trust 88Excellent 100

A hyperparameter optimization framework

14K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add optuna/optuna
#9

Pyod

Similarity 139Trust 89Excellent 100

A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

9.9K starsJun 5, 2026 pushml-automationPythonMachine Learning
$ npx skills add yzhao062/pyod
#10

Sktime

Similarity 138Trust 87Excellent 100

A unified framework for machine learning with time series

9.8K starsJun 11, 2026 pushml-automationPythonMachine Learning
$ npx skills add sktime/sktime
#11

Bitsandbytes

Similarity 138Trust 87Excellent 100

Accessible large language models via k-bit quantization for PyTorch.

8.3K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add bitsandbytes-foundation/bitsandbytes
#12

Umap

Similarity 138Trust 87Excellent 100

Uniform Manifold Approximation and Projection

8.2K starsJun 6, 2026 pushml-automationPythonMachine Learning
$ npx skills add lmcinnes/umap
#13

Librephotos

Similarity 138Trust 87Excellent 100

A self-hosted open source photo management service.

8.0K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add LibrePhotos/librephotos
#14

Featuretools

Similarity 138Trust 87Excellent 100

An open source python library for automated feature engineering

7.7K starsJun 9, 2026 pushml-automationPythonMachine Learning
$ npx skills add alteryx/featuretools
#15

Ray

Similarity 133Trust 90Excellent 100

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

43K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add ray-project/ray
#16

Data Science Interviews

Similarity 133Trust 88Excellent 100

Data science interview questions and answers

10K starsJun 1, 2026 pushml-automationHTMLMachine Learning
$ npx skills add alexeygrigorev/data-science-interviews

How to choose

When should you switch?

Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Mlxtend if it already passes your workflow test and repository review.

Next step

Compare top candidates side by side

Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.