Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

An orchestration platform for the development, production, and observation of data assets.

🧙 Build, run, and manage data pipelines for integrating and transforming data.

Preswald is a WASM packager for Python-based interactive data apps: bundle full complex data workflows, particularly visualizations, into single files, runnable completely in-browser, using Pyodide, DuckDB, Pandas, and Plotly, Matplotlib, etc. Build dashboards, reports, and notebooks that run offline, load fast, and share like a document.

A system for agentic LLM-powered data processing and ETL

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.

Easy Data Preparation with latest LLMs-based Operators and Pipelines.

Concurrent Python made simple

This dbt package captures metadata, artifacts, and test results so you can detect anomalies, monitor data quality, and build metadata tables. It powers Elementary OSS and feeds the wider context layer used by Elementary Cloud’s full Data & AI Control Plane.

One framework to develop, deploy and operate data workflows with Python and SQL.

Work with your web service, database, and streaming schemas in a single format.

Easy to use cluster-compute software.

Relational data pipelines for the science lab

A System for Optimized Semantic Computation

Cloud-native, data onboarding architecture for Google Cloud Datasets

Infra for scalable and reliable AI agents

Data pipelines from re-usable components

Developed a data pipeline to automate data warehouse ETL by building custom airflow operators that handle the extraction, transformation, validation and loading of data from S3 -> Redshift -> S3

Conductor OSS SDK for Python programming language