1.hugues31 / duckpad
The data transformation tool the open-source community deserves.
Ranked by Attention Score: stars gained over the last 7 complete days
39 repositories by Attention Score · Oct 27, 2026 – Nov 2, 2026 (UTC)
The data transformation tool the open-source community deserves.
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼
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 Superset is a Data Visualization and Data Exploration Platform
Learn how to develop, deploy and iterate on production-grade ML applications.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Incremental engine for long horizon agents 🌟 Star if you like it!
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
An orchestration platform for the development, production, and observation of data assets.
Free Course : Data, Machine Learning, Deep Learning and AI Engineering, the long way round: the math, the code, the systems and the security. 173 lessons, 166 runnable labs, no shortcuts. Free under CC BY-NC 4.0.
data load tool (dlt) is an open source Python library that makes data loading easy 🛠️
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.
Workflow Engine for Kubernetes
Open Source Feature Flags, Experimentation, and Product Analytics
Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
Python Stream Processing
Always know what to expect from your data.
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.
Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.
Data pipelines for cloud config and security data. Build cloud asset inventory, CSPM, FinOps, and vulnerability management solutions. Extract from AWS, Azure, GCP, and 70+ cloud and SaaS sources.
Privacy and Security focused Segment-alternative, in Golang and React
Turns Data and AI algorithms into production-ready web applications in no time.
The Data Engineering Cookbook
The Open Source Feature Store for AI/ML
lakeFS - Data version control for your data lake | Git for data
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.
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.
Blazing-fast, Neuro-symbolic Data-Wrangling toolkit
Python Streaming DataFrames for Kafka
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.
🌊 Continuously synchronize the systems where your data lives, to the systems where you _want_ it to live, by managing your data flows with Estuary. 🌊
A lightweight Snowflake emulator built with Go and DuckDB for local development and testing
Fancy stream processing made operationally mundane
🔥🔥🔥 Open source Reverse ETL - alternative to hightouch and census.
Conduit streams data between data stores. Kafka Connect replacement. No JVM required.
Realistic synthetic events for testing, demos, and pipelines — streamed live or generated in bulk
A detective for your data. Zero-config data quality monitoring — works with dbt, Postgres, BigQuery, Snowflake. No YAML.
Data ingestion engine — Singer taps to Parquet in cloud buckets