AI Infrastructure & MLOps

AI Infrastructure & MLOps tools for miscellaneous.

Available Tools

MLflow

• Website: https://mlflow.org/

• Description: Open-source ML lifecycle management with LLMOps features.

• Pricing: 🆓

Kubeflow

• Website: https://www.kubeflow.org/

• Description: ML workflows on Kubernetes with pipelines and serving.

• Pricing: 🆓

DVC

• Website: https://dvc.org/

• Description: Data version control for ML projects with experiment tracking.

• Pricing: 🆓

Weights & Biases

• Website: https://wandb.ai/

• Description: ML experiment tracking with Weave for LLM evaluation.

• Pricing: 🆓/💰

Neptune

• Website: https://neptune.ai/

• Description: ML metadata store with experiment management and model registry.

• Pricing: 🆓/💰

Estuary Flow

• Website: https://estuary.dev/

• Description: Real-time data automation platform with low-latency streaming (2025).

• Pricing: 💰

Informatica

• Website: https://www.informatica.com/

• Description: Data integration with AI-powered transformations and CLAIRE.

• Pricing: 💰

Alteryx

• Website: https://www.alteryx.com/

• Description: Data analytics and automation with AI assistant AiDIN.

• Pricing: 🆓/💰

Modal

• Website: https://modal.com/

• Description: Serverless cloud for AI with GPU instances and autoscaling.

• Pricing: 🆓/💰

Comet ML

• Website: https://www.comet.com/

• Description: ML experiment tracking with model monitoring.

• Pricing: 🆓/💰

ClearML

• Website: https://clear.ml/

• Description: Open-source MLOps platform with experiment tracking.

• Pricing: 🆓/💰

Seldon

• Website: https://www.seldon.io/

• Description: ML deployment and monitoring at scale.

• Pricing: 🆓/💰

BentoML

• Website: https://www.bentoml.com/

• Description: Framework for serving ML models with OpenLLM.

• Pricing: 🆓