Experiment Tracking Python Packages

kedro-viz

Visualise your Kedro data and machine-learning pipelines and track your experiments.

kedro

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

mlrun

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.

mlrun-pipelines-kfp-common

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.

mlrun-pipelines-kfp-v1-8

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.

rapidfireai

RapidFire AI: Rapid AI Customization from RAG to Fine-Tuning

layer

Metadata store for Production ML

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-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.

agilab

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.

fasttrackml

Experiment tracking server focused on speed and scalability

coretex

Python library for programatic interaction with Coretex experiment tracking and orchestration server.

pymlens

Lightweight ML experiment tracker — log, compare and visualize your ML experiments locally

liblaf-cherries

🍒 Sweet experiment tracking with Comet, DVC, and Git integration.

mlrun-pipelines-kfp-v2

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.

agentic-experiments

Hypothesis-first experiment tracking for agent-driven ML research, wired into Claude Code.

seml

SEML: Slurm Experiment Management Library

contexta

Local-first observability for ML systems

lumo

More light-weight pytorch experiment management library!

blackboxml

ML experiment tracking. Log metrics from any training loop to local JSON, inspect runs from the CLI.

skyulf-core

Build and ship production ML pipelines faster: a pipeline library with an optional self-hosted visual layer for modular, reproducible workflows, local testing, and experiment tracking.