Alternatives

Neural Prophet alternatives for AI agents.

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

Current skill

Neural Prophet

NeuralProphet: A simple forecasting package

77
Quality
85
Trust
4.3K
Stars
#1

Pytorch Forecasting

Similarity 146Trust 93Excellent 100

Time series forecasting with PyTorch

4.9K starsJun 10, 2026 pushml-automationPythonMachine Learning
$ npx skills add sktime/pytorch-forecasting
#2

Gluonts

Similarity 146Trust 92Excellent 100

Probabilistic time series modeling in Python

5.2K starsMay 8, 2026 pushml-automationPythonMachine Learning
$ npx skills add awslabs/gluonts
#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

SpaCy

Similarity 142Trust 95Excellent 100

💫 Industrial-strength Natural Language Processing (NLP) in Python

34K starsMay 19, 2026 pushml-automationPythonMachine Learning
$ npx skills add explosion/spaCy
#5

Datasets

Similarity 142Trust 98Excellent 100

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

22K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add huggingface/datasets
#6

Onnx

Similarity 141Trust 95Excellent 100

Open standard for machine learning interoperability

21K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add onnx/onnx
#7

Cs249r Book

Similarity 141Trust 92Excellent 100

Machine Learning Systems

25K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add harvard-edge/cs249r_book
#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

Kornia

Similarity 140Trust 95Excellent 100

🐍 Geometric Computer Vision Library for Spatial AI

11K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add kornia/kornia
#10

Sonnet

Similarity 139Trust 92Excellent 100

TensorFlow-based neural network library

9.9K starsMay 6, 2026 pushml-automationPythonMachine Learning
$ npx skills add google-deepmind/sonnet
#11

Flower

Similarity 139Trust 94Excellent 100

Flower: A Friendly Federated AI Framework

7.0K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add flwrlabs/flower
#12

Stanza

Similarity 139Trust 92Excellent 100

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

7.8K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add stanfordnlp/stanza
#13

Chronos Forecasting

Similarity 139Trust 94Excellent 100

Chronos: Pretrained Models for Time Series Forecasting

5.5K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add amazon-science/chronos-forecasting
#14

Dm Control

Similarity 138Trust 95Excellent 100

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

4.6K starsJun 3, 2026 pushml-automationPythonMachine Learning
$ npx skills add google-deepmind/dm_control
#15

Segment Geospatial

Similarity 138Trust 95Excellent 100

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

4.0K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add opengeos/segment-geospatial
#16

Neuralforecast

Similarity 138Trust 93Excellent 100

Scalable and user friendly neural :brain: forecasting algorithms.

4.2K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add Nixtla/neuralforecast

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 Neural Prophet 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.