45 MLOps & Training AI tools
AI services in the MLOps & Training field. Click a name to see its description, pricing and alternatives.
MLOps & Training: free vs paid at a glance
14 tools with official pricing data. 13 have a free plan, 4 offer a Korean UI. Cheapest paid plan: Comet ML ($19/mo).
| Tool | Free | Cheapest monthly | Korean | Where |
|---|---|---|---|---|
| Accord.NET | Yes | — | No | Windows, Linux, API |
| Axolotl | Yes | — | No | CLI |
| Comet ML | Yes | $19/mo | No | Web, API |
| GitLab CI | Yes | — | No | Web, Linux, Windows |
| Google AutoML | Yes | — | Yes | Web, CLI, API |
| Hopsworks | Yes | — | No | Web, CLI, API |
| MLflow | Yes | — | No | Web, API |
| Prefect | Yes | $100/mo | No | Web, CLI |
| scikit-learn | Yes | — | No | — |
| TensorFlow | No | — | Yes | Windows, Mac, iOS |
| unsloth | Yes | — | No | Windows, Mac, Linux |
| Weights & Biases | Yes | $60/mo | Yes | Web, iOS |
| ZenML | Yes | $39/mo | No | Web, API |
| Vertex Feature Store | Yes | — | Yes | — |
From each tool's official pricing page (checked by 2026-10-14). '—' means not stated. Prices change, so check before paying.
How to choose
- Try a tool with a free plan first and check the limit before paying.
- If you need Korean menus, filter by the Korean column.
- Annual plans are often cheaper; the table shows monthly prices.
Accord.NET
.NET machine learning framework
Read the guide →Free + paidAlink
Algorithm platform based on Flink by Alibaba
Read the guide →Free + paidAngel-ML
High-performance distributed machine learning platform
Read the guide →Free + paidApache Airflow
Workflow automation and scheduling platform
Read the guide →Free + paidAxolotl
Fine-tuning framework for LLMs supporting LoRA, QLoRA, DeepSpeed, and multi-GPU
Read the guide →Free + paidCML
Continuous machine learning CI/CD tool
Read the guide →Free + paidComet ML
ML experiment management platform
Read the guide →Free + paidDiffusers
State-of-the-art diffusion models library
Read the guide →Free + paidFeast
Open source feature store for ML
Read the guide →Free + paidFLAML
Fast and Lightweight AutoML by Microsoft
Read the guide →Free + paidGitLab CI
Integrated CI/CD for ML pipelines in GitLab
Read the guide →Free + paidGoogle AutoML
Google Cloud's automated ML service
Read the guide →Free + paidH2O AutoML
Automatic machine learning from H2O.ai
Read the guide →Free + paidHopsworks
Feature store and MLOps platform
Read the guide →Free + paidHugging Face Hub
Community model repository and registry
Read the guide →Free + paidHugging Face Transformers
State-of-the-art ML for PyTorch, TF, and JAX
Read the guide →Free + paidJAX
Google's composable function transformations for ML
Read the guide →Free + paidKeras
High-level neural networks API
Read the guide →Free + paidKubeflow
Kubernetes-native ML pipeline orchestration
Read the guide →Free + paidLightGBM
Fast gradient boosting framework by Microsoft
Read the guide →FreeMixture of Kittens
Cursor's open-source MoE training megakernel for NVIDIA GB300 racks
Read the guide →Free + paidMLflow
Open source platform for ML lifecycle
Read the guide →Free + paidMLflow Model Registry
Centralized model store for lifecycle management
Read the guide →Free + paidOpenAI Gym
Standard API for RL environments
Read the guide →Free + paidOpenAI Python SDK
Official Python library for OpenAI API
Read the guide →Free + paidOpenRLHF
Scalable RLHF framework supporting 70B+ PPO full tuning, iterative DPO, and LoRA
Read the guide →Free + paidPettingZoo
Multi-agent RL environment API
Read the guide →Free + paidPrefect
Modern workflow orchestration
Read the guide →Free + paidPyTorch
Open source deep learning framework by Meta
Read the guide →Free + paidscikit-learn
Machine learning in Python
Read the guide →Free + paidStable Baselines3
Reliable RL algorithm implementations
Read the guide →Free + paidTensorFlow
Google's end-to-end open source ML platform
Read the guide →Free + paidTRL
Library for training transformer LMs with RLHF, SFT, reward modeling, and PPO
Read the guide →Free + paidunsloth
2-5x faster LLM fine-tuning with 70% less memory
Read the guide →Free + paidWeights & Biases
Developer tools for ML experiment tracking
Read the guide →Free + paidXGBoost
Optimized gradient boosting library
Read the guide →Free + paidZenML
MLOps framework for reproducible pipelines
Read the guide →Free + paidAuto-sklearn
Automated machine learning toolkit
View on the 3D map →Free + paidAutoGluon
AutoML toolkit by Amazon for text, image, and tabular data
View on the 3D map →Free + paidDVC
Data version control for ML projects
View on the 3D map →Free + paidGitHub Actions
Automate ML workflows with GitHub's CI/CD platform
View on the 3D map →Free + paidNeptune
Experiment tracking for ML teams
View on the 3D map →Free + paidRay RLlib
Scalable reinforcement learning library
View on the 3D map →Free + paidTecton
Enterprise feature platform for ML
View on the 3D map →Free + paidVertex Feature Store
Google Cloud's managed feature store for ML
View on the 3D map →