#1
A flexible, high-performance serving system for machine learning models
6.4K starsJun 13, 2026 pushml-automationC++Machine Learning
$ npx skills add tensorflow/servingAlternatives
Djl alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Djl
An Engine-Agnostic Deep Learning Framework in Java
100
Quality
100
Trust
4.8K
Stars
#2
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
9.5K starsMay 21, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add roboflow/notebooks#3
🏅 Collection of Kaggle Solutions and Ideas 🏅
6.4K starsJun 6, 2026 pushml-automationAstroMachine Learning
$ npx skills add faridrashidi/kaggle-solutions#4
TensorFlow documentation
6.3K starsMay 12, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add tensorflow/docs#5
Time series forecasting with PyTorch
4.9K starsJun 10, 2026 pushml-automationPythonMachine Learning
$ npx skills add sktime/pytorch-forecasting#6
Statistical Machine Intelligence & Learning Engine
6.4K starsJun 12, 2026 pushml-automationJavaMachine Learning
$ npx skills add haifengl/smile#7
A machine learning software for extracting information from scholarly documents
4.9K starsJun 13, 2026 pushml-automationJavaMachine Learning
$ npx skills add grobidOrg/grobid#8
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
9.9K starsApr 20, 2026 pushml-automationPythonMachine Learning
$ npx skills add vwxyzjn/cleanrl#9
TensorFlow-based neural network library
9.9K starsMay 6, 2026 pushml-automationPythonMachine Learning
$ npx skills add google-deepmind/sonnet#10
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#11
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#12
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
9.8K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add pycaret/pycaret#13
A unified framework for machine learning with time series
9.8K starsJun 11, 2026 pushml-automationPythonMachine Learning
$ npx skills add sktime/sktime#14
Containers for machine learning
9.4K starsJun 12, 2026 pushml-automationGoMachine Learning
$ npx skills add replicate/cog#15
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#16
Effortless data labeling with AI support from Segment Anything and other awesome models.
9.4K starsJun 6, 2026 pushml-automationPythonMachine Learning
$ npx skills add CVHub520/X-AnyLabelingHow 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 Djl 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.