Alternatives

Gplearn alternatives for AI agents.

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

Current skill

Gplearn

Genetic Programming in Python, with a scikit-learn inspired API

94
Quality
88
Trust
1.9K
Stars
#1

Scikit Llm

Similarity 146Trust 93Excellent 100

Seamlessly integrate LLMs into scikit-learn.

3.5K starsJun 1, 2026 pushml-automationPythonMachine Learning
$ npx skills add BeastByteAI/scikit-llm
#2

Hummingbird

Similarity 143Trust 90Excellent 89

Hummingbird compiles trained ML models into tensor computation for faster inference.

3.5K starsJul 17, 2025 pushml-automationPythonMachine Learning
$ npx skills add microsoft/hummingbird
#3

Pytorch Lightning

Similarity 142Trust 98Excellent 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
#4

Vision

Similarity 141Trust 96Excellent 100

Datasets, Transforms and Models specific to Computer Vision

18K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add pytorch/vision
#5

ChatterBot

Similarity 141Trust 96Excellent 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
#6

Nltk

Similarity 140Trust 95Excellent 100

NLTK Source

15K starsJun 11, 2026 pushml-automationPythonMachine Learning
$ npx skills add nltk/nltk
#7

Optuna

Similarity 140Trust 95Excellent 100

A hyperparameter optimization framework

14K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add optuna/optuna
#8

Darts

Similarity 140Trust 97Excellent 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
#9

Cookiecutter Data Science

Similarity 140Trust 95Excellent 100

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

9.9K starsApr 9, 2026 pushml-automationPythonMachine Learning
$ npx skills add drivendataorg/cookiecutter-data-science
#10

Bitsandbytes

Similarity 139Trust 94Excellent 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
#11

Umap

Similarity 139Trust 94Excellent 100

Uniform Manifold Approximation and Projection

8.2K starsJun 6, 2026 pushml-automationPythonMachine Learning
$ npx skills add lmcinnes/umap
#12

Sonnet

Similarity 139Trust 92Excellent 100

TensorFlow-based neural network library

9.9K starsMay 6, 2026 pushml-automationPythonMachine Learning
$ npx skills add google-deepmind/sonnet
#13

Librephotos

Similarity 139Trust 94Excellent 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 139Trust 94Excellent 100

An open source python library for automated feature engineering

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

TensorboardX

Similarity 139Trust 92Excellent 100

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

8.0K starsApr 10, 2026 pushml-automationPythonMachine Learning
$ npx skills add lanpa/tensorboardX
#16

Cuml

Similarity 139Trust 94Excellent 100

cuML - RAPIDS Machine Learning Library

5.2K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add rapidsai/cuml

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 Gplearn 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.