AutoGluon

Automated machine learning for image, text, tabular, time-series, and multi-modal data.

AutoKeras

AutoKeras goal is to make machine learning accessible for everyone.

AutoPyTorch

Automatic architecture search and hyperparameter optimization for PyTorch.

AutoSKLearn

Automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.

EvalML

A library that builds, optimizes, and evaluates ML pipelines using domain-specific functions.

FLAML

Finds accurate ML models automatically, efficiently and economically.

H2O AutoML

Automates ML workflow, which includes automatic training and tuning of models.

MindsDB

AI layer for databases that allows you to effortlessly develop, train and deploy ML models.

MLBox

MLBox is a powerful Automated Machine Learning python library.

Model Search

Framework that implements AutoML algorithms for model architecture search at scale.

NNI

An open source AutoML toolkit for automate machine learning lifecycle.

ClearML

Auto-Magical CI/CD to streamline your ML workflow.

CML

Open-source library for implementing CI/CD in machine learning projects.

KitOps

Open source MLOps project that eases model handoffs between data scientist and DevOps.

Cronitor

Monitor any cron job or scheduled task.

HealthchecksIO

Simple and effective cron job monitoring.

Heartbeat.pm

Monitoring aliveness of any sensor/cron job.

Amundsen

Data discovery and metadata engine for improving productivity when interacting with data.

Apache Atlas

Provides open metadata management and governance capabilities to build a data catalog.

CKAN

Open-source DMS (data management system) for powering data hubs and data portals.

DataHub

LinkedIn's generalized metadata search & discovery tool.

Magda

A federated, open-source data catalog for all your big data and small data.

Metacat

Unified metadata exploration API service for Hive, RDS, Teradata, Redshift, S3 and Cassandra.

OpenMetadata

A Single place to discover, collaborate and get your data right.

Snorkel

A system for quickly generating training data with weak supervision.

Upgini

Enriches training datasets with features from public and community shared data sources.

Apache Zeppelin

Enables data-driven, interactive data analytics and collaborative documents.

BambooLib

An intuitive GUI for Pandas DataFrames.

DataPrep

Collect, clean and visualize your data in Python.

Deepnote

Drop-in replacement for Jupyter and an AI-native workspace for modern data teams.

Google Colab

Hosted Jupyter notebook service that requires no setup to use.

Jupyter Notebook

Web-based notebook environment for interactive computing.

JupyterLab

The next-generation user interface for Project Jupyter.

Jupytext

Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts.

Pandas Profiling

Create HTML profiling reports from pandas DataFrame objects.

Polynote

The polyglot notebook with first-class Scala support.

Arrikto

Dead simple, ultra fast storage for the hybrid Kubernetes world.

BlazingSQL

A lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.

Delta Lake

Storage layer that brings scalable, ACID transactions to Apache Spark and other engines.

Dolt

SQL database that you can fork, clone, branch, merge, push and pull just like a git repository.

Dud

A lightweight CLI tool for versioning data alongside source code and building data pipelines.

DVC

Management and versioning of datasets and machine learning models.

Git LFS

An open source Git extension for versioning large files.

Hub

A dataset format for creating, storing, and collaborating on AI datasets of any size.

Intake

A lightweight set of tools for loading and sharing data in data science projects.

lakeFS

Repeatable, atomic and versioned data lake on top of object storage.

Marquez

Collect, aggregate, and visualize a data ecosystem's metadata.

Milvus

An open source embedding vector similarity search engine powered by Faiss, NMSLIB and Annoy.

Pinecone

Managed and distributed vector similarity search used with a lightweight SDK.

Potato

Portable annotation tool for creating labeled datasets.

Qdrant

An open source vector similarity search engine with extended filtering support.

Quilt

A self-organizing data hub with S3 support.

Airflow

Platform to programmatically author, schedule, and monitor workflows.

Azkaban

Batch workflow job scheduler created at LinkedIn to run Hadoop jobs.

Dagster

A data orchestrator for machine learning, analytics, and ETL.

Hadoop

Framework that allows for the distributed processing of large data sets across clusters.

OpenRefine

Power tool for working with messy data and improving it.

Spark

Unified analytics engine for large-scale data processing.

Cerberus

Lightweight, extensible data validation library for Python.

Cleanlab

Python library for data-centric AI and machine learning with messy, real-world data and labels.

Great Expectations

A Python data validation framework that allows to test your data against datasets.

JSON Schema

A vocabulary that allows you to annotate and validate JSON documents.

TFDV

An library for exploring and validating machine learning data.

Count

SQL/drag-and-drop querying and visualisation tool based on notebooks.

Dash

Analytical Web Apps for Python, R, Julia, and Jupyter.

Data Studio

Reporting solution for power users who want to go beyond the data and dashboards of GA.

Facets

Visualizations for understanding and analyzing machine learning datasets.

Grafana

Multi-platform open source analytics and interactive visualization web application.

Lux

Fast and easy data exploration by automating the visualization and data analysis process.

Metabase

The simplest, fastest way to get business intelligence and analytics to everyone.

Redash

Connect to any data source, easily visualize, dashboard and share your data.

SolidUI

AI-generated visualization prototyping and editing platform, support 2D and 3D models.

Superset

Modern, enterprise-ready business intelligence web application.

Tableau

Powerful and fastest growing data visualization tool used in the business intelligence industry.

Alibi Detect

An open source Python library focused on outlier, adversarial and drift detection.

Frouros

An open source Python library for drift detection in machine learning systems.

TorchDrift

A data and concept drift library for PyTorch.

Feature Engine

Feature engineering package with SKlearn like functionality.

Featuretools

Python library for automated feature engineering.

TSFresh

Python library for automatic extraction of relevant features from time series.

Butterfree

A tool for building feature stores. Transform your raw data into beautiful features.

ByteHub

An easy-to-use feature store. Optimized for time-series data.

Feast

End-to-end open source feature store for machine learning.

Feathr

An enterprise-grade, high performance feature store.

Featureform

A Virtual Feature Store. Turn your existing data infrastructure into a feature store.

Tecton

A fully-managed feature platform built to orchestrate the complete lifecycle of features.

Advisor

Open-source implementation of Google Vizier for hyper parameters tuning.

Hyperas

A very simple wrapper for convenient hyperparameter optimization.

Hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python.

Katib

Kubernetes-based system for hyperparameter tuning and neural architecture search.

KerasTuner

Easy-to-use, scalable hyperparameter optimization framework.

Optuna

Open source hyperparameter optimization framework to automate hyperparameter search.

Scikit Optimize

Simple and efficient library to minimize expensive and noisy black-box functions.

Talos

Hyperparameter Optimization for TensorFlow, Keras and PyTorch.

Tune

Python library for experiment execution and hyperparameter tuning at any scale.

Knowledge Repo

Knowledge sharing platform for data scientists and other technical professions.

Kyso

One place for data insights so your entire team can learn from your data.

aiWARE

aiWARE helps MLOps teams evaluate, deploy, integrate, scale & monitor ML models.

Algorithmia

Securely govern your machine learning operations with a healthy ML lifecycle.

Allegro AI

Transform ML/DL research into products. Faster.

Bodywork

Deploys machine learning projects developed in Python, to Kubernetes.

CNVRG

An end-to-end machine learning platform to build and deploy AI models at scale.

DAGsHub

A platform built on open source tools for data, model and pipeline management.

Dataiku

Platform democratizing access to data and enabling enterprises to build their own path to AI.

DataRobot

AI platform that democratizes data science and automates the end-to-end ML at scale.

Domino

One place for your data science tools, apps, results, models, and knowledge.

Edge Impulse

Platform for creating, optimizing, and deploying AI/ML algorithms for edge devices.

envd

Machine learning development environment for data science and AI/ML engineering teams.

FedML

Simplifies the workflow of federated learning anywhere at any scale.

Gradient

Multicloud CI/CD and MLOps platform for machine learning teams.

H2O

Open source leader in AI with a mission to democratize AI for everyone.

Hopsworks

Open-source platform for developing and operating machine learning models at scale.

Iguazio

Data science platform that automates MLOps with end-to-end machine learning pipelines.

Katonic

Automate your cycle of intelligence with Katonic MLOps Platform.

Knime

Create and productionize data science using one easy and intuitive environment.

Kubeflow

Making deployments of ML workflows on Kubernetes simple, portable and scalable.

LynxKite

A complete graph data science platform for very large graphs and other datasets.

ML Workspace

All-in-one web-based IDE specialized for machine learning and data science.

MLReef

Open source MLOps platform that helps you collaborate, reproduce and share your ML work.

Modzy

Deploy, connect, run, and monitor machine learning (ML) models in the enterprise and at the edge.

Neurolink

TypeScript-first multi-provider AI agent framework with workflow orchestration and MCP support.

Omnimizer

Simplifies and accelerates MLOps by bridging the gap between ML models and edge hardware.

Pachyderm

Combines data lineage with end-to-end pipelines on Kubernetes, engineered for the enterprise.

Polyaxon

A platform for reproducible and scalable machine learning and deep learning on kubernetes.

Sagemaker

Fully managed service that provides the ability to build, train, and deploy ML models quickly.

SAS Viya

Cloud native AI, analytic and data management platform that supports the analytics life cycle.

Sematic

An open-source end-to-end pipelining tool to go from laptop prototype to cloud in no time.

SigOpt

A platform that makes it easy to track runs, visualize training, and scale hyperparameter tuning.

TrueFoundry

A Cloud-native MLOps Platform over Kubernetes to simplify training and serving of ML Models.

Valohai

MLOps platform for reproducible ML and LLM workflows from experimentation to production.

AIF360

A comprehensive set of fairness metrics for datasets and machine learning models.

Fairlearn

A Python package to assess and improve fairness of machine learning models.

Opacus

A library that enables training PyTorch models with differential privacy.

TensorFlow Privacy

Library for training machine learning models with privacy for training data.

Alibi

Open-source Python library enabling ML model inspection and interpretation.

Captum

Model interpretability and understanding library for PyTorch.

ELI5

Python package which helps to debug machine learning classifiers and explain their predictions.

InterpretML

A toolkit to help understand models and enable responsible machine learning.

LIME

Explaining the predictions of any machine learning classifier.

Lucid

Collection of infrastructure and tools for research in neural network interpretability.

SAGE

For calculating global feature importance using Shapley values.

SHAP

A game theoretic approach to explain the output of any machine learning model.

Aeromancy

A framework for performing reproducible AI and ML for Weights and Biases.

Aim

A super-easy way to record, search and compare 1000s of ML training runs.

Cascade

Library of ML-Engineering tools for rapid prototyping and experiment management.

Comet

Track your datasets, code changes, experimentation history, and models.

Guild AI

Open source experiment tracking, pipeline automation, and hyperparameter tuning.

Keepsake

Version control for machine learning with support to Amazon S3 and Google Cloud Storage.

Losswise

Makes it easy to track the progress of a machine learning project.

MLflow

Open source platform for the machine learning lifecycle.

ModelDB

Open source ML model versioning, metadata, and experiment management.

Neptune AI

The most lightweight experiment management tool that fits any workflow.

Sacred

A tool to help you configure, organize, log and reproduce experiments.

Weights and Biases

A tool for visualizing and tracking your machine learning experiments.

Banana

Host your ML inference code on serverless GPUs and integrate it into your app with one line of code.

Beam

Develop on serverless GPUs, deploy highly performant APIs, and rapidly prototype ML models.

BentoML

Open-source platform for high-performance ML model serving.

BudgetML

Deploy a ML inference service on a budget in less than 10 lines of code.

Cog

Open-source tool that lets you package ML models in a standard, production-ready container.

Cortex

Machine learning model serving infrastructure.

Geniusrise

Host inference APIs, bulk inference and fine tune text, vision, audio and multi-modal models.

Gradio

Create customizable UI components around your models.

GraphPipe

Machine learning model deployment made simple.

Hydrosphere

Platform for deploying your Machine Learning to production.

KFServing

Kubernetes custom resource definition for serving ML models on arbitrary frameworks.

LocalAI

Drop-in replacement REST API that’s compatible with OpenAI API specifications for inferencing.

Merlin

A platform for deploying and serving machine learning models.

MLEM

Version and deploy your ML models following GitOps principles.

Opyrator

Turns your ML code into microservices with web API, interactive GUI, and more.

PredictionIO

Event collection, deployment of algorithms, evaluation, querying predictive results via APIs.

Quix

Serverless platform for processing data streams in real-time with machine learning models.

Rune

Provides containers to encapsulate and deploy EdgeML pipelines and applications.

Seldon

Take your ML projects from POC to production with maximum efficiency and minimal risk.

Streamlit

Lets you create apps for your ML projects with deceptively simple Python scripts.

TensorFlow Serving

Flexible, high-performance serving system for ML models, designed for production.

TorchServe

A flexible and easy to use tool for serving PyTorch models.

Triton Inference Server

Provides an optimized cloud and edge inferencing solution.

Vespa

Store, search, organize and make machine-learned inferences over big data at serving time.

Wallaroo.AI

A platform for deploying, serving, and optimizing ML models in both cloud and edge environments.

Deepchecks

Open-source package for validating ML models & data, with various checks and suites.

Starwhale

An MLOps/LLMOps platform for model building, evaluation, and fine-tuning.

Trubrics

Validate machine learning with data science and domain expert feedback.

Accelerate

A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.

Dask

Provides advanced parallelism for analytics, enabling performance at scale for the tools you love.

DeepSpeed

Deep learning optimization library that makes distributed training easy, efficient, and effective.

Fiber

Python distributed computing library for modern computer clusters.

Horovod

Distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Mahout

Distributed linear algebra framework and mathematically expressive Scala DSL.

MLlib

Apache Spark's scalable machine learning library.

Modin

Speed up your Pandas workflows by changing a single line of code.

Nebullvm

Easy-to-use library to boost AI inference.

Nos

Open-source module for running AI workloads on Kubernetes in an optimized way.

Petastorm

Enables single machine or distributed training and evaluation of deep learning models.

Rapids

Gives the ability to execute end-to-end data science and analytics pipelines entirely on GPUs.

Ray

Fast and simple framework for building and running distributed applications.

Singa

Apache top level project, focusing on distributed training of DL and ML models.

Tpot

Automated ML tool that optimizes machine learning pipelines using genetic programming.

Chassis

Turns models into ML-friendly containers that run just about anywhere.

Hermione

Help Data Scientists on setting up more organized codes, in a quicker and simpler way.

Hydra

A framework for elegantly configuring complex applications.

Koalas

Pandas API on Apache Spark. Makes data scientists more productive when interacting with big data.

Ludwig

Allows users to train and test deep learning models without the need to write code.

MLNotify

No need to keep checking your training, just one import line and you'll know the second it's done.

PyCaret

Open source, low-code machine learning library in Python.

Sagify

A CLI utility to train and deploy ML/DL models on AWS SageMaker.

Soopervisor

Export ML projects to Kubernetes (Argo workflows), Airflow, AWS Batch, and SLURM.

Soorgeon

Convert monolithic Jupyter notebooks into maintainable pipelines.

TrainGenerator

A web app to generate template code for machine learning.

Turi Create

Simplifies the development of custom machine learning models.

Aporia

Observability with customized monitoring and explainability for ML models.

Arize

A free end-to-end ML observability and model monitoring platform.

Evidently

Interactive reports to analyze ML models during validation or production monitoring.

Fiddler

Monitor, explain, and analyze your AI in production.

Manifest

Open-source real-time cost observability for AI agents.

Manifold

A model-agnostic visual debugging tool for machine learning.

NannyML

Algorithm capable of fully capturing the impact of data drift on performance.

Netron

Visualizer for neural network, deep learning, and machine learning models.

Opik

Evaluate, test, and ship LLM applications with a suite of observability tools.

Phoenix

MLOps in a Notebook for troubleshooting and fine-tuning generative LLM, CV, and tabular models.

Radicalbit

The open source solution for monitoring your AI models in production.

Rhesis

Testing infrastructure for LLM and agentic applications with collaborative evaluation.

Superwise

Fully automated, enterprise-grade model observability in a self-service SaaS platform.

Whylogs

The open source standard for data logging. Enables ML monitoring and observability.

Yellowbrick

Visual analysis and diagnostic tools to facilitate machine learning model selection.

Argo

Open source container-native workflow engine for orchestrating parallel jobs on Kubernetes.

Automate Studio

Rapidly build & deploy AI-powered workflows.

Cordum

Governance-first control plane for AI agents and external workers.

Couler

Unified interface for constructing and managing workflows on different workflow engines.

Dotflow

A lightweight Python library for building execution pipelines with retry, parallel execution, cron scheduling, and async support.

dstack

An open-core tool to automate data and training workflows.

Flyte

Easy to create concurrent, scalable, and maintainable workflows for machine learning.

Hamilton

A scalable general purpose micro-framework for defining dataflows.

Kale

Aims at simplifying the Data Science experience of deploying Kubeflow Pipelines workflows.

Kedro

Library that implements software engineering best-practice for data and ML pipelines.

Luigi

Python module that helps you build complex pipelines of batch jobs.

Metaflow

Human-friendly lib that helps scientists and engineers build and manage data science projects.

MLRun

Generic mechanism for data scientists to build, run, and monitor ML tasks and pipelines.

Orchest

Visual pipeline editor and workflow orchestrator with an easy to use UI and based on Kubernetes.

Ploomber

Write maintainable, production-ready pipelines. Develop locally, deploy to the cloud.

Prefect

A workflow management system, designed for modern infrastructure.

VDP

An open-source tool to seamlessly integrate AI for unstructured data into the modern data stack.

Velda

Run jobs and workflows as if on your local machine.

Wordware

A web-hosted IDE where non-technical domain experts can build task-specific AI agents.

ZenML

An extensible open-source MLOps framework to create reproducible pipelines.

Continuous Delivery for Machine Learning

(Martin Fowler)

Machine Learning Operations (MLOps): Overview, Definition, and Architecture

(arXiv)

MLOps Roadmap: A Complete MLOps Career Guide

(Scaler Blogs)

MLOps: Continuous delivery and automation pipelines in machine learning

(Google)

MLOps: Machine Learning as an Engineering Discipline

(Medium)

Practitioners guide to MLOps: A framework for continuous delivery and automation of machine learning

(Google)

Rules of Machine Learning: Best Practices for ML Engineering

(Google)

The ML Test Score: A Rubric for ML Production Readiness and Technical Debt Reduction

(Google)

What Is MLOps?

(NVIDIA)

AI Governance

(Manning)

AI Model Evaluation

(Manning)

Beginning MLOps with MLFlow

(Apress)

Building Machine Learning Pipelines

(O'Reilly)

Building Machine Learning Powered Applications

(O'Reilly)

Deep Learning in Production

(AI Summer)

Designing Machine Learning Systems

(O'Reilly)

Engineering MLOps

(Packt)

Implementing MLOps in the Enterprise

(O'Reilly)

Introducing MLOps

(O'Reilly)

Kubeflow for Machine Learning

(O'Reilly)

Kubeflow Operations Guide

(O'Reilly)

Machine Learning Design Patterns

(O'Reilly)

Machine Learning Engineering in Action

(Manning)

ML Ops: Operationalizing Data Science

(O'Reilly)

MLOps Engineering at Scale

(Manning)

MLOps Lifecycle Toolkit

(Apress)

Practical Deep Learning at Scale with MLflow

(Packt)

Practical MLOps

(O'Reilly)

Production-Ready Applied Deep Learning

(Packt)

Reliable Machine Learning

(O'Reilly)

The Machine Learning Solutions Architect Handbook

(Packt)

AI Conference Deadline

A tracker for AI/ML conference submission deadlines, helping researchers track major CFPs, access official conference websites, and plan submissions without accounts or setup website

MLOps Conference - Keynotes and Panels

MLOps World: Machine Learning in Production Conference

NormConf - The Normcore Tech Conference

Stanford MLSys Seminar Series

Applied ML

Curated resources and tools for applied machine learning in industry.

Awesome AutoML Papers

Awesome AutoML

Awesome Data Science

An open source DataScience repository to learn and apply for real world problems.

Awesome DataOps

Awesome Deep Learning

A curated list of awesome Deep Learning tutorials, projects and communities.

Awesome Game Datasets

(includes AI content)

Awesome Machine Learning

The definitive curated list of machine learning frameworks, libraries and software organized by language. Covers Python, C++, Java, JavaScript, and more with comprehensive coverage of the ML ecosystem. CC0-1.0 licensed.

Awesome MLOps

A curated list of references for MLOps.

Awesome Production Machine Learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Awesome Python

An opinionated list of awesome Python frameworks, libraries, software, and resources.

Awesome RAG Production

A curated collection of battle-tested tools, frameworks, and best practices for building, scaling, and monitoring production-grade Retrieval-Augmented Generation (RAG) systems. Covers frameworks, vector databases, retrieval & reranking, evaluation, observability, deployment, and security.

Deep Learning in Production

AI Stories Podcast

Chain of Thought

AI infrastructure and developer tools, with interviews from engineering leaders and technical founders.

Kubernetes Podcast from Google

Machine Learning – Software Engineering Daily

MLOps.community

Pipeline Conversation

Practical AI: Machine Learning, Data Science

(by Changelog); Description: Making artificial intelligence practical, productive, and accessible to everyone.; Frequency: Once a week; Runtime: ~45 minutes

This Week in Machine Learning & AI

Description: Stories from the world of machine learning and artificial intelligence. Discussion on the latest developments in research, technology, business, and exploring interesting projects from across the web, including machine learning, artificial intelligence, deep learning, natural language…

True ML Talks

Kubeflow Workspace

MLOps Community Wokspace

Agentic Engineering Jobs

Job board for engineers building agentic systems (RAG, AI agents, LLM-powered products, agent orchestration). Free to post, free to browse.

A guide to MLOps

Feature Stores for ML

Made with ML

Resource for building and deploying machine learning applications.

ML-Ops

MLOps Community

MLOps Guide

MLOps Now

System Designer - ML Systems