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 102 ml experiment tracking frameworks tracked. 2 score above 70 (verified tier). The highest-rated is treeverse/dvc at 85/100 with 15,443 stars and 2,111,672 monthly downloads. 3 of the top 10 are actively maintained.
Get all 102 projects as JSON
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| # | Framework | Score | Tier |
|---|---|---|---|
| 1 |
treeverse/dvc
π¦ Data Versioning and ML Experiments |
|
Verified |
| 2 |
runpod/runpod-python
π | Python library for RunPod API and serverless worker SDK. |
|
Verified |
| 3 |
uber/petastorm
Petastorm library enables single machine or distributed training and... |
|
Established |
| 4 |
carsdotcom/skelebot
Machine Learning Project Development Tool |
|
Established |
| 5 |
microsoft/vscode-jupyter
VS Code Jupyter extension |
|
Established |
| 6 |
operatorai/modelstore
π¬ modelstore is a Python library that allows you to version, export, and... |
|
Established |
| 7 |
deepchecks/deepchecks
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks... |
|
Established |
| 8 |
J535D165/recordlinkage
A powerful and modular toolkit for record linkage and duplicate detection in Python |
|
Established |
| 9 |
4paradigm/OpenMLDB
OpenMLDB is an open-source machine learning database that provides a feature... |
|
Established |
| 10 |
GokuMohandas/Made-With-ML
Learn how to develop, deploy and iterate on production-grade ML applications. |
|
Established |
| 11 |
mad-lab-fau/tpcp
Pipeline and Dataset helpers for complex algorithm evaluation. |
|
Established |
| 12 |
ml6team/fondant
Production-ready data processing made easy and shareable |
|
Established |
| 13 |
lazyscribe/lazyscribe
Lightweight, lazy model experiment logging |
|
Established |
| 14 |
floydhub/floyd-cli
Command line tool for FloydHub - the fastest way to build, train, and deploy... |
|
Established |
| 15 |
basetenlabs/truss-examples
Examples of models deployable with Truss |
|
Established |
| 16 |
nuhame/mlpug
MLPug is a library for training and evaluating Machine Learning (ML) models,... |
|
Established |
| 17 |
openml/OpenML
Open Machine Learning |
|
Established |
| 18 |
treeverse/dvclive
π Log and track ML metrics, parameters, models with Git and/or DVC |
|
Established |
| 19 |
deepnote/jupyterlab-deepnote
A .deepnote file viewer extension for JupyterLab |
|
Established |
| 20 |
firefly-cpp/succulent
A lightweight framework for collecting and processing data from HTTP POST requests |
|
Established |
| 21 |
IBM/sail
Library for streaming data and incremental learning algorithms. |
|
Established |
| 22 |
nidhaloff/igel
a delightful machine learning tool that allows you to train, test, and use... |
|
Established |
| 23 |
zincware/ZnTrack
Create, visualize, run & benchmark DVC pipelines in Python & Jupyter notebooks. |
|
Emerging |
| 24 |
ipums/hlink
Hierarchical record linkage at scale |
|
Emerging |
| 25 |
treeverse/vscode-dvc
Machine learning experiment tracking and data versioning with DVC extension... |
|
Emerging |
| 26 |
deepnote/vscode-deepnote
Deepnote extension for VSCode, Cursor and Windsurf |
|
Emerging |
| 27 |
eto-ai/rikai
Parquet-based ML data format optimized for working with unstructured data |
|
Emerging |
| 28 |
CubicZebra/informatics
Framework of fast implementation data processing and operating pipelines |
|
Emerging |
| 29 |
HoloClean/holoclean
A Machine Learning System for Data Enrichment. |
|
Emerging |
| 30 |
TangleML/tangle
Tangle is a web app that allows the users to build and run Machine Learning... |
|
Emerging |
| 31 |
regel/loudml
Loud ML is the first open-source AI solution for ICT and IoT automation |
|
Emerging |
| 32 |
aporia-ai/mlnotify
π No need to keep checking your training - just one import line and you'll... |
|
Emerging |
| 33 |
ahkarami/Deep-Learning-in-Production
In this repository, I will share some useful notes and references about... |
|
Emerging |
| 34 |
amikos-tech/chromadb-data-pipes
ChromaDB Data Pipes ποΈ - The easiest way to get data into and out of ChromaDB |
|
Emerging |
| 35 |
yottalabsai/YottaML
Python SDK and CLI for the YottaML cloud GPU platform. Manage pods,... |
|
Emerging |
| 36 |
iterative/features
A collection of development container 'features' for machine learning and... |
|
Emerging |
| 37 |
AbdoulayeSeydi/mlbuild
MLBuild enforces inference performance SLAs in CI, automatically blocking... |
|
Emerging |
| 38 |
pierpierpy/LightML
Experiment tracking that stays out of your way. One pip install, one .db... |
|
Emerging |
| 39 |
VashuTheGreat/ML-Learner
Full stack machine learning learning repository covering model training,... |
|
Emerging |
| 40 |
lightforever/mlcomp
Distributed DAG (Directed acyclic graph) framework for machine learning with UI |
|
Emerging |
| 41 |
TangleML/website
Tangle is a web app that allows the users to build and run Machine Learning... |
|
Emerging |
| 42 |
pailabteam/pailab
a package for versioning, automatization and analysis of machine learning development |
|
Emerging |
| 43 |
DigitalKin-ai/kin-kernel
This package is designed to enable developers to create Cells |
|
Emerging |
| 44 |
IBM/mlapp
MLApp is a Python library for building scalable data science solutions that... |
|
Emerging |
| 45 |
replicate/keepsake
Version control for machine learning |
|
Emerging |
| 46 |
Bread-Technologies/Bread-Dataset-Viewer
VS Code extension to easily view and handle large datasets. Look at... |
|
Emerging |
| 47 |
aidd-msca/registry-factory
An abstract implementation of the registry design pattern proposed in... |
|
Emerging |
| 48 |
paletteml/mlsync
Sync your ML data with your favorite productivity tools! |
|
Emerging |
| 49 |
treeverse/example-get-started-experiments
Get started DVC project |
|
Emerging |
| 50 |
modelhub-ai/modelhub
A collection of deep learning models with a unified API. |
|
Emerging |
| 51 |
oap-project/cloudtik
Cloud Scale Platform for Distributed Analytics and AI |
|
Emerging |
| 52 |
ModelChimp/modelchimp
Experiment tracking for machine and deep learning projects |
|
Emerging |
| 53 |
iterative/VSCode-DVC-Workshop
Workshop about DVC VSCode Extension |
|
Experimental |
| 54 |
modelhub-ai/modelhub-engine
Backend library, framework, and API for models in modelhub |
|
Experimental |
| 55 |
UETAILab/uetai
Custom ML tracking experiment and debugging tools. |
|
Experimental |
| 56 |
treeverse/chocolatey-dvc
Chocolatey package for dvc |
|
Experimental |
| 57 |
AICoE/experiment-tracking
Experiment Tracking for Machine Learning Jobs |
|
Experimental |
| 58 |
FanaticPythoner/AutoAi
AI automation library that allows automatic training for a large amount of... |
|
Experimental |
| 59 |
amakelov/mandala
A simple & elegant experiment tracking framework that integrates persistence... |
|
Experimental |
| 60 |
guildai/guildai-r
Track machine learning experiments |
|
Experimental |
| 61 |
radiantone/entangle
A lightweight (serverless) native python parallel processing framework based... |
|
Experimental |
| 62 |
finegrain-ai/trackio-tool
A tool to work with Trackio data files. |
|
Experimental |
| 63 |
npatta01/pytorch-serving-workshop
Slides and notebook for the workshop on serving bert models in production |
|
Experimental |
| 64 |
kubegems/modelx
A simple, High-Performance, Scalable ML/DL Models Repository based on OCI Artifacts |
|
Experimental |
| 65 |
JuliaAI/DearDiary.jl
A lightweight but powerful machine learning experiment tracking tool for Julia |
|
Experimental |
| 66 |
shcheklein/dvc-docker-example
An example of DVC pipeline with a Docker-wrapped command |
|
Experimental |
| 67 |
galafis/feature-store-architecture
Feature Store para ML: armazenamento online (Redis) e offline (Parquet), API... |
|
Experimental |
| 68 |
CompBio-Lab/MESSI-pipeline
MESSI - Multimodal Experiments with SyStematic Interrogation in nextflow |
|
Experimental |
| 69 |
liblaf/cherries
π Sweet experiment tracking with Comet, DVC, and Git integration. |
|
Experimental |
| 70 |
MukundaKatta/StreamPipe
Composable async streaming pipeline framework for LLM responses and data processing |
|
Experimental |
| 71 |
anekanews777/tinytracker
π¬ Track your ML experiments effortlessly with TinyTrackerβlocal,... |
|
Experimental |
| 72 |
homeofe/BMAS
BMAS: Research project for AI-assisted metric evaluation and experiment tracking |
|
Experimental |
| 73 |
durandtibo/minrecord
Minimalist library to record values in a ML workflow |
|
Experimental |
| 74 |
Sidgithub18/mlbuild
Enforce ML model performance in CI/CD by benchmarking inference, validating... |
|
Experimental |
| 75 |
srinagadurga3455/mlforge
End-to-end ML pipeline library β from data loading to production monitoring |
|
Experimental |
| 76 |
MukundaKatta/PipelineAI
CI/CD pipeline generator β auto-detect projects and generate GitHub Actions,... |
|
Experimental |
| 77 |
rogue-agent1/spinner
spinner - Terminal spinner/progress wrapper for long-running commands |
|
Experimental |
| 78 |
rhussain21/edge-ai-pipeline
Building a structured corpus of industrial automation knowledge for AI systems |
|
Experimental |
| 79 |
MukundaKatta/ConfigAI
Smart config file generator β auto-detect projects, generate... |
|
Experimental |
| 80 |
guilycst/lazy-dvc
A serverless-style LFS alternative that uses GitHub Org membership as... |
|
Experimental |
| 81 |
okenakt/protium
Interactive Python environment for VS Code with flexible execution in your workflow |
|
Experimental |
| 82 |
SymbioticLab/ModelKeeper
A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup |
|
Experimental |
| 83 |
Minoro/pgpyml
An in-database machine learning solution to run python models in Postgres |
|
Experimental |
| 84 |
knap-ai/knapsack
Fast, private data connectors for AI β‘οΈπ€ |
|
Experimental |
| 85 |
NoOPeEKS/DataNvim
A fully-featured batteries-included Neovim distribution for the world of... |
|
Experimental |
| 86 |
raymon-ai/raymon
The official http://raymon.ai data profiling and logging library. |
|
Experimental |
| 87 |
getindata/quickstart-ml-blueprints
Data science project development best practices and state of the art... |
|
Experimental |
| 88 |
getindata/quickstart-ml-starter
Kedro starterts to quickly set up new projects according to QuickStart ML... |
|
Experimental |
| 89 |
mosh3eb/TrainKeeper
TrainKeeper is a minimal-decision, high-signal toolkit for building... |
|
Experimental |
| 90 |
MPX0222/BLS-APIs
A Modified Toolbox for Broad Learning System, with sklearn liked APIs and... |
|
Experimental |
| 91 |
rack2cloud/ai-cluster-failure-modes
Diagnostic frameworks for high-performance compute architectures, checkpoint... |
|
Experimental |
| 92 |
the-ai-merge/production-hub
Hands-on hub to learn techniques to optimize and serve AI models to... |
|
Experimental |
| 93 |
felixmccuaig/flowbase
A declarative ML platform for tabular data that eliminates infrastructure... |
|
Experimental |
| 94 |
Scontel/distributed-ml-ops
Scalable MLOps framework for distributed training and model deployment with... |
|
Experimental |
| 95 |
rogue-agent1/middleware-chain-py
Middleware pipeline pattern |
|
Experimental |
| 96 |
Kind-italianwoodbine415/warm-start
Speed up code sessions by automatically loading your project's git state,... |
|
Experimental |
| 97 |
Darekmi9/feature-store-v1
π Build a local-first, cloud-extensible Feature Store to simplify MLOps,... |
|
Experimental |
| 98 |
KUNAL7231/ml-itg
π€ Streamline machine learning workflows with ml-itg, a toolkit designed for... |
|
Experimental |
| 99 |
iterative/studio-support
β DVC Studio Issues, Question, and Discussions |
|
Experimental |
| 100 |
josephmachado/data-pipeline-generator
Data pipeline code generator for portfolio projects |
|
Experimental |
| 101 |
seunboy1/DVC_GITHUB_CODE
This contains the dvc files created from data versioning. |
|
Experimental |
| 102 |
nidhinradh/quickstartml
Quickstart ML is a tool to generate boilerplate code for your machine... |
|
Experimental |