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.
Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.
Empowering Data Intelligence with Distributed SQL for Sharding, Scalability, and Security Across All Databases.
The most scalable and reliable MQTT broker for AI, IoT, IIoT and connected vehicles
An orchestration platform for the development, production, and observation of data assets.
- data-pipelines
- dagster
- workflow
- data-science
Node-based Visual Programming Toolbox
- photogrammetry
- computer-vision
- 3d-reconstruction
- alicevision
Always know what to expect from your data.
- pipeline-tests
- dataquality
- datacleaning
- datacleaner
Incremental engine for long horizon agents 🌟 Star if you like it!
- ai
- change-data-capture
- data-indexing
- etl
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
Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.
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
The Open Source Feature Store for AI/ML
- machine-learning
- features
- ml
- big-data
Real-time monitor and web admin for Celery distributed task queue
- celery
- task-queue
- monitoring
- administration
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.
Apache Camel is an open source integration framework with 350+ connectors. Write routes in Java, YAML, or XML. Run on Spring Boot, Quarkus, or standalone. Apache License 2.0.
- camel
- integration
- java
- microservices
data load tool (dlt) is an open source Python library that makes data loading easy 🛠️
- data
- python
- data-engineering
- data-lake
lakeFS - Data version control for your data lake | Git for data
- data-engineering
- data-versioning
- go
- object-storage
Privacy and Security focused Segment-alternative, in Golang and React
- privacy
- warehouse-management
- data-warehouse
- customer-data
A network event stream processing system, in Clojure.
- riemann
- events
- clojure
- monitoring
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
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