Experiment Tracking Python Packages

kedro-viz

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

epokio

Phone alerts when an ML training run stalls, hits NaN or finishes, from the logs it already writes. No code changes, no account.

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.

substrax

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

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.

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.

aether-vault

Git-like version control for ML — atomic commits for code, weights & datasets with C++ parallel hashing

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.

liblaf-cherries

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

coretex

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

agilab

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

pyruns

A lightweight Python CLI for batch experiments: auto-generate tasks from configs, run in parallel, and track results with real-time monitoring.

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.

mlparty

Agent-native ML experiment tracking: write contract, code snapshots, knowledge graph, MCP server, live UI

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

agi-web

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

agi-app-learning-assessment

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