#1
Always know what to expect from your data.
12K starsJun 13, 2026 pushml-automationPythonMLOps
$ npx skills add fivetran/great_expectationsAlternatives
Traceml alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Traceml
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
85
Quality
87
Trust
533
Stars
#2
Learn how to develop, deploy and iterate on production-grade ML applications.
48K starsMar 4, 2026 pushml-automationJupyter NotebookMLOps
$ npx skills add GokuMohandas/Made-With-ML#3
The Open Source Feature Store for AI/ML
7.1K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add feast-dev/feast#4
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
6.2K starsJun 14, 2026 pushml-automationPythonMachine Learning
$ npx skills add aimhubio/aim#5
The absolute trainer to light up AI agents.
17K starsApr 29, 2026 pushml-automationPythonMLOps
$ npx skills add microsoft/agent-lightning#6
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
5.6K starsMay 25, 2026 pushml-automationPythonMachine Learning
$ npx skills add biolab/orange3#7
⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / Ultralytics / MMEngine / Keras etc.
4.0K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add SwanHubX/SwanLab#8
Feathr – A scalable, unified data and AI engineering platform for enterprise
1.9K starsApr 4, 2024 pushml-automationScalaMLOps
$ npx skills add feathr-ai/feathr#9
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#10
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#11
Deploy a ML inference service on a budget in less than 10 lines of code.
1.3K starsFeb 12, 2024 pushml-automationPythonMLOps
$ npx skills add ebhy/budgetml#12
Label Studio is a multi-type data labeling and annotation tool with standardized output format
28K starsJun 16, 2026 pushml-automationTypeScriptMLOps
$ npx skills add HumanSignal/label-studio#13
Deep Learning for humans
64K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add keras-team/keras#14
✨ Build a machine learning model from a prompt
2.6K starsMar 6, 2026 pushml-automationPythonMLOps
$ npx skills add plexe-ai/plexe#15
💫 Industrial-strength Natural Language Processing (NLP) in Python
34K starsMay 19, 2026 pushml-automationPythonMachine Learning
$ npx skills add explosion/spaCy#16
Learn how to design, develop, deploy and iterate on production-grade ML applications.
3.4K starsAug 16, 2024 pushml-automationJupyter NotebookMachine Learning
$ npx skills add GokuMohandas/mlops-courseHow 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 Traceml 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.