#mlops

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Agent traces you can run, not just read.

Extensible Python SDK for developing Flyte tasks and workflows. Simple to get started and learn and highly extensible.

The official Python library for Openlayer, the Continuous Model Improvement Platform for AI. 📈

KEDA External gRPC Scaler for GPU workloads - native NVML metrics via DaemonSet, no Prometheus required

Additional packages (components, document stores and the likes) to extend the capabilities of Haystack

Python SDK to interact with the Hopsworks API

skops is a Python library helping you share your scikit-learn based models and put them in production

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

Open-source AI Bill of Materials (AIBOM) scanner: inventories AI models, datasets, prompts, embeddings, vector DBs & RAG pipelines across code, containers & Kubernetes — with file:line evidence, load-time risk detection (poisoned pickle / Keras Lambda / unsafe torch.load) and NIST AI RMF / OWASP compliance mapping. CycloneDX · SARIF · JSON.

Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

The missing bridge between your ML models and your AI agents.

Production-shaped MLOps Python package and reference implementation of the MLOps Coding Course: MLflow, scikit-learn, Pydantic, Pandera, uv, and mise.

LUPINE is a GPU over IP bridge allowing GPUs on remote machines to be attached to CPU-only machines.