Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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- apache
- apache-airflow
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Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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.
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.
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.
Node-based Visual Programming Toolbox
Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.
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The live data layer for apps and AI agents. Create up-to-the-second views into your business, just using SQL
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.
A distributed MQTT message broker based on Erlang/OTP. Built for high quality & Industrial use cases. The VerneMQ mission is active & the project maintained. Thank you for your support!
Keep passwords and other sensitive information out of your chat logs and inboxes.
The Cloud Native Webhooks Gateway
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
Open-source ETL/ELT you deploy on your own servers or cloud. Built on DuckDB: no-code/low-code visual pipelines or SQL, 385 components, dbt, CDC, data quality, reverse ETL, lineage, MCP for AI agents. No vendor cloud, no per-row billing.
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
Bunny is a popular, easy to use, mature Ruby client for RabbitMQ
visual data prep powered by python
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
ETL framework for .NET (Parser / Writer for CSV, Flat, Xml, JSON, Key-Value, Parquet, Yaml, Avro formatted files)
The ultimate distributed MQTT broker. Handles 100M+ connections and 10M msg/sec with ease. Built on Kafka to provide industrial-grade persistence and eliminate data loss.
Low-code tool for automating actions on real time data | Stream processing for the users.
HStreamDB is an open-source, cloud-native streaming database for IoT and beyond. Modernize your data stack for real-time applications.
:lipstick: Durable and asynchronous data imports for consuming data at scale and publishing testable SDKs.