ML Experiment Tracking ML Frameworks
Tools for versioning, tracking, and managing machine learning experiments, including data versioning, model checkpoints, metrics logging, and experiment comparison. Does NOT include model serving, deployment infrastructure, hyperparameter optimization frameworks, or general MLOps pipeline orchestration.
There are 89 ml experiment tracking frameworks tracked. 2 score above 70 (verified tier). The highest-rated is treeverse/dvc at 76/100 with 15,443 stars. 3 of the top 10 are actively maintained.
Get all 89 projects as JSON
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| # | Framework | Score | Tier |
|---|---|---|---|
| 1 |
treeverse/dvc
๐ฆ Data Versioning and ML Experiments |
|
Verified |
| 2 |
runpod/runpod-python
๐ | Python library for RunPod API and serverless worker SDK. |
|
Verified |
| 3 |
microsoft/vscode-jupyter
VS Code Jupyter extension |
|
Established |
| 4 |
4paradigm/OpenMLDB
OpenMLDB is an open-source machine learning database that provides a feature... |
|
Established |
| 5 |
uber/petastorm
Petastorm library enables single machine or distributed training and... |
|
Established |
| 6 |
nuhame/mlpug
MLPug is a library for training and evaluating Machine Learning (ML) models,... |
|
Established |
| 7 |
deepchecks/deepchecks
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks... |
|
Established |
| 8 |
treeverse/dvclive
๐ Log and track ML metrics, parameters, models with Git and/or DVC |
|
Established |
| 9 |
openml/OpenML
Open Machine Learning |
|
Established |
| 10 |
carsdotcom/skelebot
Machine Learning Project Development Tool |
|
Established |
| 11 |
firefly-cpp/succulent
A lightweight framework for collecting and processing data from HTTP POST requests |
|
Established |
| 12 |
GokuMohandas/Made-With-ML
Learn how to develop, deploy and iterate on production-grade ML applications. |
|
Established |
| 13 |
operatorai/modelstore
๐ฌ modelstore is a Python library that allows you to version, export, and... |
|
Established |
| 14 |
ml6team/fondant
Production-ready data processing made easy and shareable |
|
Established |
| 15 |
basetenlabs/truss-examples
Examples of models deployable with Truss |
|
Established |
| 16 |
J535D165/recordlinkage
A powerful and modular toolkit for record linkage and duplicate detection in Python |
|
Established |
| 17 |
lazyscribe/lazyscribe
Lightweight, lazy model experiment logging |
|
Established |
| 18 |
floydhub/floyd-cli
Command line tool for FloydHub - the fastest way to build, train, and deploy... |
|
Established |
| 19 |
zincware/ZnTrack
Create, visualize, run & benchmark DVC pipelines in Python & Jupyter notebooks. |
|
Established |
| 20 |
mad-lab-fau/tpcp
Pipeline and Dataset helpers for complex algorithm evaluation. |
|
Established |
| 21 |
IBM/sail
Library for streaming data and incremental learning algorithms. |
|
Established |
| 22 |
eto-ai/rikai
Parquet-based ML data format optimized for working with unstructured data |
|
Established |
| 23 |
treeverse/vscode-dvc
Machine learning experiment tracking and data versioning with DVC extension... |
|
Established |
| 24 |
deepnote/jupyterlab-deepnote
A .deepnote file viewer extension for JupyterLab |
|
Established |
| 25 |
HoloClean/holoclean
A Machine Learning System for Data Enrichment. |
|
Established |
| 26 |
ipums/hlink
Hierarchical record linkage at scale |
|
Established |
| 27 |
nidhaloff/igel
a delightful machine learning tool that allows you to train, test, and use... |
|
Established |
| 28 |
regel/loudml
Loud ML is the first open-source AI solution for ICT and IoT automation |
|
Established |
| 29 |
deepnote/vscode-deepnote
Deepnote extension for VSCode, Cursor and Windsurf |
|
Emerging |
| 30 |
CubicZebra/informatics
Framework of fast implementation data processing and operating pipelines |
|
Emerging |
| 31 |
TangleML/tangle
Tangle is a web app that allows the users to build and run Machine Learning... |
|
Emerging |
| 32 |
aporia-ai/mlnotify
๐ No need to keep checking your training - just one import line and you'll... |
|
Emerging |
| 33 |
iterative/features
A collection of development container 'features' for machine learning and... |
|
Emerging |
| 34 |
lightforever/mlcomp
Distributed DAG (Directed acyclic graph) framework for machine learning with UI |
|
Emerging |
| 35 |
amikos-tech/chromadb-data-pipes
ChromaDB Data Pipes ๐๏ธ - The easiest way to get data into and out of ChromaDB |
|
Emerging |
| 36 |
ahkarami/Deep-Learning-in-Production
In this repository, I will share some useful notes and references about... |
|
Emerging |
| 37 |
replicate/keepsake
Version control for machine learning |
|
Emerging |
| 38 |
IBM/mlapp
MLApp is a Python library for building scalable data science solutions that... |
|
Emerging |
| 39 |
TangleML/website
Tangle is a web app that allows the users to build and run Machine Learning... |
|
Emerging |
| 40 |
paletteml/mlsync
Sync your ML data with your favorite productivity tools! |
|
Emerging |
| 41 |
pailabteam/pailab
a package for versioning, automatization and analysis of machine learning development |
|
Emerging |
| 42 |
DigitalKin-ai/kin-kernel
This package is designed to enable developers to create Cells |
|
Emerging |
| 43 |
treeverse/example-get-started-experiments
Get started DVC project |
|
Emerging |
| 44 |
modelhub-ai/modelhub
A collection of deep learning models with a unified API. |
|
Emerging |
| 45 |
yottalabsai/YottaML
Python SDK and CLI for the YottaML cloud GPU platform. Manage pods,... |
|
Emerging |
| 46 |
aidd-msca/registry-factory
An abstract implementation of the registry design pattern proposed in... |
|
Emerging |
| 47 |
oap-project/cloudtik
Cloud Scale Platform for Distributed Analytics and AI |
|
Emerging |
| 48 |
ModelChimp/modelchimp
Experiment tracking for machine and deep learning projects |
|
Emerging |
| 49 |
modelhub-ai/modelhub-engine
Backend library, framework, and API for models in modelhub |
|
Emerging |
| 50 |
iterative/VSCode-DVC-Workshop
Workshop about DVC VSCode Extension |
|
Emerging |
| 51 |
pierpierpy/LightML
Experiment tracking that stays out of your way. One pip install, one .db... |
|
Emerging |
| 52 |
UETAILab/uetai
Custom ML tracking experiment and debugging tools. |
|
Emerging |
| 53 |
amakelov/mandala
A simple & elegant experiment tracking framework that integrates persistence... |
|
Emerging |
| 54 |
AICoE/experiment-tracking
Experiment Tracking for Machine Learning Jobs |
|
Emerging |
| 55 |
FanaticPythoner/AutoAi
AI automation library that allows automatic training for a large amount of... |
|
Emerging |
| 56 |
treeverse/chocolatey-dvc
Chocolatey package for dvc |
|
Emerging |
| 57 |
guildai/guildai-r
Track machine learning experiments |
|
Emerging |
| 58 |
radiantone/entangle
A lightweight (serverless) native python parallel processing framework based... |
|
Emerging |
| 59 |
AbdoulayeSeydi/mlbuild
MLBuild enforces inference performance SLAs in CI, automatically blocking... |
|
Emerging |
| 60 |
npatta01/pytorch-serving-workshop
Slides and notebook for the workshop on serving bert models in production |
|
Emerging |
| 61 |
JuliaAI/DearDiary.jl
A lightweight but powerful machine learning experiment tracking tool for Julia |
|
Emerging |
| 62 |
kubegems/modelx
A simple, High-Performance, Scalable ML/DL Models Repository based on OCI Artifacts |
|
Emerging |
| 63 |
liblaf/cherries
๐ Sweet experiment tracking with Comet, DVC, and Git integration. |
|
Emerging |
| 64 |
shcheklein/dvc-docker-example
An example of DVC pipeline with a Docker-wrapped command |
|
Emerging |
| 65 |
SymbioticLab/ModelKeeper
A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup |
|
Experimental |
| 66 |
raymon-ai/raymon
The official http://raymon.ai data profiling and logging library. |
|
Experimental |
| 67 |
Minoro/pgpyml
An in-database machine learning solution to run python models in Postgres |
|
Experimental |
| 68 |
NoOPeEKS/DataNvim
A fully-featured batteries-included Neovim distribution for the world of... |
|
Experimental |
| 69 |
getindata/quickstart-ml-blueprints
Data science project development best practices and state of the art... |
|
Experimental |
| 70 |
MPX0222/BLS-APIs
A Modified Toolbox for Broad Learning System, with sklearn liked APIs and... |
|
Experimental |
| 71 |
finegrain-ai/trackio-tool
A tool to work with Trackio data files. |
|
Experimental |
| 72 |
the-ai-merge/production-hub
Hands-on hub to learn techniques to optimize and serve AI models to... |
|
Experimental |
| 73 |
MukundaKatta/StreamPipe
Composable async streaming pipeline framework for LLM responses and data processing |
|
Experimental |
| 74 |
CompBio-Lab/MESSI-pipeline
MESSI - Multimodal Experiments with SyStematic Interrogation in nextflow |
|
Experimental |
| 75 |
rhussain21/edge-ai-pipeline
Building a structured corpus of industrial automation knowledge for AI systems |
|
Experimental |
| 76 |
rogue-agent1/spinner
spinner - Terminal spinner/progress wrapper for long-running commands |
|
Experimental |
| 77 |
durandtibo/minrecord
Minimalist library to record values in a ML workflow |
|
Experimental |
| 78 |
homeofe/BMAS
BMAS: Research project for AI-assisted metric evaluation and experiment tracking |
|
Experimental |
| 79 |
anekanews777/tinytracker
๐ฌ Track your ML experiments effortlessly with TinyTrackerโlocal,... |
|
Experimental |
| 80 |
knap-ai/knapsack
Fast, private data connectors for AI โก๏ธ๐ค |
|
Experimental |
| 81 |
mosh3eb/TrainKeeper
TrainKeeper is a minimal-decision, high-signal toolkit for building... |
|
Experimental |
| 82 |
iterative/studio-support
โ DVC Studio Issues, Question, and Discussions |
|
Experimental |
| 83 |
nidhinradh/quickstartml
Quickstart ML is a tool to generate boilerplate code for your machine... |
|
Experimental |
| 84 |
seunboy1/DVC_GITHUB_CODE
This contains the dvc files created from data versioning. |
|
Experimental |
| 85 |
Kind-italianwoodbine415/warm-start
Speed up code sessions by automatically loading your project's git state,... |
|
Experimental |
| 86 |
rogue-agent1/middleware-chain-py
Middleware pipeline pattern |
|
Experimental |
| 87 |
KUNAL7231/ml-itg
๐ค Streamline machine learning workflows with ml-itg, a toolkit designed for... |
|
Experimental |
| 88 |
BatoolMM/An-Open-Science-Approach-to-Machine-Learning
"An Open Science Approach to Machine Learning in Medical and Biological... |
|
Experimental |
| 89 |
DagsHub/open-source-data-pipeline
A repository that holds machine learning projects that uses DVC for data... |
|
Experimental |