Self-hosted platform to unify wearable health data through one AI-ready API.
- wearables
- apple-health
- apple-watch
- fitness
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Self-hosted platform to unify wearable health data through one AI-ready API.
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.
A distributed data integration framework that simplifies common aspects of big data integration such as data ingestion, replication, organization and lifecycle management for both streaming and batch data ecosystems.
Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow
MongoDB data stream pipeline tools by YouGov (adopted from MongoDB)
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
Embulk: Pluggable Bulk Data Loader.
Data processing & ETL framework for Ruby
🔥🔥🔥 Open source Reverse ETL - alternative to hightouch and census.
Python Streaming DataFrames for Kafka
Copy a Postgres database to a target Postgres server (pg_dump | pg_restore on steroids)
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.
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
Apache InLong - a one-stop, full-scenario integration framework for massive data
visual data prep powered by python
Dex : The Data Explorer -- A data visualization tool written in Java/Groovy/JavaFX capable of powerful ETL and publishing web visualizations.
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. 🌊
Healthcare data infrastructure for next generation care delivery.
📈 Collect customer event data from your apps. (Note that this project only includes the API collector, not the visualization platform)
Polo travels through your database and creates sample snapshots so you can work with real world data in development.
Conduit streams data between data stores. Kafka Connect replacement. No JVM required.
:lipstick: Durable and asynchronous data imports for consuming data at scale and publishing testable SDKs.