1.OpenDCAI / DataFlow
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
- data
- data-cleaning
- data-pipelines
- data-processing
- data-science
- data-synthesis
- +7 more
Ranked by Attention Score: stars gained over the last 7 complete days
13 repositories by Attention Score · Oct 28, 2026 – Nov 3, 2026 (UTC)
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
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.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
An orchestration platform for the development, production, and observation of data assets.
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Build, Manage and Deploy AI/ML Systems
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.
Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
DataSphereStudio is a one stop data application development& management portal, covering scenarios including data exchange, desensitization/cleansing, analysis/mining, quality measurement, visualization, and task scheduling.
AI Infra / AI Orchestration / AI Control Plane