#data-pipelines (23 Repositories)
Ranked open-source repositories tagged with #data-pipelines, scored by pull request acceptance likelihood and maintainer engagement velocity.
51.4%
36.9h
23 repositories tagged #data-pipelines
feldera/feldera
The Feldera Incremental Computation Engine
bruin-data/bruin
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
wingfoil-io/wingfoil
ultra low latency graph based stream processing framework
conductor-oss/python-sdk
Conductor OSS SDK for Python programming language
smart-data-lake/smart-data-lake
Smart Automation Tool for building modern Data Lakes and Data Pipelines
apache/dolphinscheduler
Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code
elementary-data/elementary
The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.
opendatadiscovery/odd-platform
First open-source data discovery and observability platform. We make a life for data practitioners easy so you can focus on your business.
Burla-Cloud/burla
The simplest way to scale Python.
kedro-org/kedro
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.
elementary-data/dbt-data-reliability
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.
pathwaycom/pathway
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
data-engineering-community/data-engineering-wiki
The best place to learn data engineering. Built and maintained by the data engineering community.
Netflix/maestro
Maestro: Netflix’s Workflow Orchestrator
mage-ai/mage-ai
🧙 Build, run, and manage data pipelines for integrating and transforming data.
linkedin/Hoptimator
Multi-hop declarative data pipelines
ucbepic/docetl
A system for agentic LLM-powered data processing and ETL
dagster-io/dagster
An orchestration platform for the development, production, and observation of data assets.
tuva-health/tuva-core
Main repo including core data model, data marts, data quality tests, and terminology sets.
StructuredLabs/preswald
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.
dataflint/spark
Drop-in replacement for Apache Spark UI
combust/mleap
MLeap: Deploy ML Pipelines to Production
yobix-ai/extractous
Fast and efficient unstructured data extraction. Written in Rust with bindings for many languages.