Mlflow Python Packages

mlflow-skinny

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

mlflow

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

mlflow-tracing

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

koalas

Koalas: pandas API on Apache Spark

mlflow-oidc-auth

MLflow Access Control: authentication and access control for MLflow — SSO (OIDC, SAML), SCIM provisioning, service accounts and per-resource permissions

kedro-mlflow

A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)

substrax

JAX/Flax NNX training infrastructure: device meshes and SPMD sharding, an Orbax checkpoint store, early stopping and callbacks, W&B and MLflow logging.

calibrax

JAX benchmarking, profiling and evaluation metrics for Flax NNX: a registry of pure-function metrics (regression, classification, calibration, uncertainty, forecasting, generative, image, text, audio, graph, fairness), XLA FLOP counting, roofline analysis, GPU and energy monitoring, regression detection, publication exports, W&B and MLflow.

skyulf-core

Stop trusting your pipeline. Verify it; visually on a canvas or in Python. Self-hosted platform + library. Now, you can be able use it in Databricks and MLFlow with bundle option.

agilab

Open-source platform for reproducible AI/ML workflows, from local experimentation to distributed workers and long-lived services.

odctl

A curated collection of open source technologies and the odctl CLI for running a local Docker-based data platform to experiment with modern data architecture and MLOps.

blue-objects

🌀 data objects for AI algo in Bash.

attestation

Auditable research provenance as local-first MCP tools. The claim checker, paper feed, knowledge graph and symbolic math assume nothing about your field — any results JSON or CSV works, from any instrument. The experiment ledger adds W&B/MLflow/Sacred/DVC/Hydra for computational work. Nothing leaves the machine.

agi-env

Open-source platform for reproducible AI/ML workflows, from local experimentation to distributed workers and long-lived services.

agi-node

Open-source platform for reproducible AI/ML workflows, from local experimentation to distributed workers and long-lived services.

agi-gui

Open-source platform for reproducible AI/ML workflows, from local experimentation to distributed workers and long-lived services.

agi-cluster

Open-source platform for reproducible AI/ML workflows, from local experimentation to distributed workers and long-lived services.

agi-core

Open-source platform for reproducible AI/ML workflows, from local experimentation to distributed workers and long-lived services.

agi-pages

Open-source platform for reproducible AI/ML workflows, from local experimentation to distributed workers and long-lived services.

agi-apps

Open-source platform for reproducible AI/ML workflows, from local experimentation to distributed workers and long-lived services.

fasttrackml

Experiment tracking server focused on speed and scalability

hydraflow

Integrate Hydra and MLflow to manage and track machine learning experiments

agi-web

Open-source platform for reproducible AI/ML workflows, from local experimentation to distributed workers and long-lived services.

busysloths-mlox

Deploy and manage ML/AI infrastructure on your own servers. Slothfully simple.