Ml Experiment Tracking MLOps Tools

There are 35 ml experiment tracking tools tracked. 4 score above 50 (established tier). The highest-rated is claimed-framework/claimed at 68/100 with 2,316 stars. 1 of the top 10 are actively maintained.

Get all 35 projects as JSON

curl "https://pt-edge.onrender.com/api/v1/datasets/quality?domain=mlops&subcategory=ml-experiment-tracking&limit=20"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

# Tool Score Tier
1 claimed-framework/claimed

The goal of CLAIMED is to enable low-code/no-code rapid prototyping style...

68
Established
2 logicalclocks/hopsworks

Hopsworks - Data-Intensive AI platform with a Feature Store

57
Established
3 project-codeflare/codeflare

Simplifying the definition and execution, scaling and deployment of...

54
Established
4 myelintek/primehub

open-source MLOps platform

52
Established
5 ml-tooling/ml-hub

🧰 Multi-user development platform for machine learning teams. Simple to...

49
Emerging
6 loglabs/mltrace

Coarse-grained lineage and tracing for machine learning pipelines.

48
Emerging
7 Cornerstone-OnDemand/modelkit

Toolkit for developing and maintaining ML models

48
Emerging
8 traceopt-ai/traceml

Lightweight training runtime health monitor

45
Emerging
9 mystic-ai/pipeline

Pipeline is an open source python SDK for building AI/ML workflows

45
Emerging
10 ploomber/ploomber

The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

44
Emerging
11 G-Research/fasttrackml

Experiment tracking server focused on speed and scalability

43
Emerging
12 unionai-oss/unionml

UnionML: the easiest way to build and deploy machine learning microservices

43
Emerging
13 VashuTheGreat/ML-Learner

Full stack machine learning learning repository covering model training,...

43
Emerging
14 sematic-ai/sematic

An open-source ML pipeline development platform

41
Emerging
15 rclement/datasette-ml

A Datasette plugin providing an MLOps platform to train, eval and predict...

41
Emerging
16 OpenMPDK/DSS

Disaggregated Storage Solution

40
Emerging
17 Vevesta/VevestaX

2 Lines of code to track ML experiments + EDA + check into Github

40
Emerging
18 nxexox/pymlup

MLup is framework for easy and fast run ML in production

39
Emerging
19 elehcimd/mltraq

Track and Collaborate on ML & AI Experiments.

38
Emerging
20 VIDA-NYU/PipelineVis

Pipeline Profiler is a tool for visualizing machine learning pipelines...

37
Emerging
21 fuseml/fuseml

FuseML aims to provide an MLOps framework as the medium dynamically...

37
Emerging
22 google/space

Unified storage framework for the entire machine learning lifecycle

36
Emerging
23 harrystuart/flintml

One-click ML infrastructure for teams that just want to get sh*t done.

36
Emerging
24 TatraDev/pipertool

Platform for data science and machine learning prototyping. Developed by Tatradev.com

36
Emerging
25 layerai-archive/sdk

Metadata store for Production ML

34
Emerging
26 redis-applied-ai/redis-model-store

AI/ML model versioning and storage engine backed by Redis.

32
Emerging
27 galafis/feature-store-architecture

Feature Store para ML: armazenamento online (Redis) e offline (Parquet), API...

29
Experimental
28 getindata/quickstart-ml-starter

Kedro starterts to quickly set up new projects according to QuickStart ML...

26
Experimental
29 Sidgithub18/mlbuild

Enforce ML model performance in CI/CD by benchmarking inference, validating...

22
Experimental
30 MukundaKatta/PipelineAI

CI/CD pipeline generator — auto-detect projects and generate GitHub Actions,...

22
Experimental
31 srinagadurga3455/mlforge

End-to-end ML pipeline library — from data loading to production monitoring

22
Experimental
32 rack2cloud/ai-cluster-failure-modes

Diagnostic frameworks for high-performance compute architectures, checkpoint...

21
Experimental
33 josephmachado/data-pipeline-generator

Data pipeline code generator for portfolio projects

18
Experimental
34 Darekmi9/feature-store-v1

🚀 Build a local-first, cloud-extensible Feature Store to simplify MLOps,...

14
Experimental
35 Scontel/distributed-ml-ops

Scalable MLOps framework for distributed training and model deployment with...

14
Experimental