1.microsoft / agent-lightning
The absolute trainer to light up AI agents.
+1,516 stars
from 17,349 · score 7.32
Trending repositories
Ranked by Attention Score: stars gained over the last 90 complete days
24 repositories by Attention Score · Aug 5, 2026 – Nov 2, 2026 (UTC)
2.mlflow / mlflow
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
+1,343 stars
from 27,275 · score 7.20
3.stas00 / ml-engineering
Machine Learning Engineering Open Book
+1,211 stars
from 18,433 · score 7.10
4.apache / airflow
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
+1,113 stars
from 46,230 · score 7.02
5.dagster-io / dagster
An orchestration platform for the development, production, and observation of data assets.
+481 stars
from 15,880 · score 6.18
6.skypilot-org / skypilot
The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
+377 stars
from 10,400 · score 5.93
7.fivetran / great_expectations
Always know what to expect from your data.
+248 stars
from 11,664 · score 5.52
8.feast-dev / feast
The Open Source Feature Store for AI/ML
+180 stars
from 7,172 · score 5.20
9.Avaiga / taipy
Turns Data and AI algorithms into production-ready web applications in no time.
+169 stars
from 19,284 · score 5.14
10.bentoml / OpenLLM
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
+161 stars
from 12,414 · score 5.09
11.Netflix / metaflow
Build, Manage and Deploy AI/ML Systems
+153 stars
from 10,181 · score 5.04
12.wandb / wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
+125 stars
from 11,186 · score 4.84
13.kedro-org / 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.
+117 stars
from 10,923 · score 4.77
14.zenml-io / zenml
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
+110 stars
from 5,523 · score 4.71
15.aimhubio / aim
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
+86 stars
from 6,204 · score 4.47
16.pycaret / pycaret
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
+54 stars
from 9,804 · score 4.01
17.jina-ai / serve
☁️ Build multimodal AI applications with cloud-native stack
+47 stars
from 21,803 · score 3.87
18.deepchecks / deepchecks
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
+34 stars
from 4,035 · score 3.56
19.superduper-io / superduper
Superduper: End-to-end framework for building custom AI applications and agents.
+33 stars
from 5,295 · score 3.53
20.microsoft / nniArchived
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
+27 stars
from 14,339 · score 3.33
21.ploomber / ploomberArchived
The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
+6 stars
from 3,615 · score 1.95
22.rodrigo-arenas / Sklearn-genetic-opt
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
+5 stars
from 386 · score 1.79
23.Paulescu / hands-on-train-and-deploy-ml
Train and Deploy an ML REST API to predict crypto prices, in 10 steps
+3 stars
from 887 · score 1.39
24.Kraken-CI / kraken
Kraken CI is a continuous integration and testing system.
+2 stars
from 158 · score 1.10