dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
- dbt-viewpoint
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- pypa
- data-modeling
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dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
Incremental engine for long horizon agents 🌟 Star if you like it!
Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.
🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.
Distributed stream processing engine in Rust
Blazing-fast, Neuro-symbolic Data-Wrangling toolkit
Apache DataFusion Ballista Distributed Query Engine
Open source security data lake for threat hunting, detection & response, and cybersecurity analytics at petabyte scale on AWS
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.
High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis.
🌊 Continuously synchronize the systems where your data lives, to the systems where you _want_ it to live, by managing your data flows with Estuary. 🌊
High-performance, time-indexed object storage for robotics and industrial IoT
Open-source streaming SQL engine written in Rust using Apache Arrow and DataFusion. Supports continuous queries, temporal stream joins, tumbling/session windows, and CDC/Kafka connectors. Lightweight, embeddable, and sub-microsecond latency