Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
- airflow
- apache
- apache-airflow
- python
Repository Index
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Orchestrate everything, everywhere. The open-source control plane for workflows across data, infrastructure, business processes and AI agents. Declarative YAML, event-driven, any language, Git-versioned, scalable to millions of executions.
- orchestration
- data-orchestration
- high-availability
- infrastructure-as-code
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
An orchestration platform for the development, production, and observation of data assets.
- data-pipelines
- dagster
- workflow
- data-science
Always know what to expect from your data.
- pipeline-tests
- dataquality
- datacleaning
- datacleaner
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.
- kedro
- hacktoberfest
- mlops
- python
Build, Manage and Deploy AI/ML Systems
- machine-learning
- model-management
- ai
- ml
Fancy stream processing made operationally mundane
- message-queue
- stream-processing
- streaming-data
- message-bus
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
- data-drift
- jupyter-notebook
- pandas-dataframe
- machine-learning
Zero-ETL, infinite possibilities. Live query APIs, code & more with SQL. No DB required.
- steampipe
- postgresql
- postgresql-fdw
- cloud
The Open Source Feature Store for AI/ML
- machine-learning
- features
- ml
- big-data
Data pipelines for cloud config and security data. Build cloud asset inventory, CSPM, FinOps, and vulnerability management solutions. Extract from AWS, Azure, GCP, and 70+ cloud and SaaS sources.
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
- mlops
- machine-learning
- data-science
- production-ready
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.
- machine-learning
- ml
- model-validation
- data-validation
AI Infra / AI Orchestration / AI Control Plane
Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.
- dataops
- dataops-platform
- elt
- open-source
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
- data-science
- python
- dag
- data-engineering
Hopsworks - Data-Intensive AI platform with a Feature Store
- feature-store
- aws
- azure
- data-science
A full-stack DevOps on AWS framework
Polyglot workflows without leaving the comfort of your technology stack.
- orchestration-framework
- scheduling
- workflow
- event-driven
Tenzir is the data pipeline engine for security teams.
- incident-response
- threathunting
- siem
- soc
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
- pipeline
- pipeline-framework
- machine-learning
- deep-learning
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
- pandas
- pandas-summary
- dataframes
- data-science
Realistic synthetic events for testing, demos, and pipelines — streamed live or generated in bulk
- clickhouse
- data-engineering
- data-generation
- devops