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.
The fastest unified streaming SQL Engine in a single C++ binary. ⚡ Millisecond latency. 100+ GB/s throughput. Continuously compute stateful context from streams, logs, metrics, events, and CDC.
Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
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.
:elephant: Elasticsearch real-time search and analytics natively integrated with Hadoop
MongoDB data stream pipeline tools by YouGov (adopted from MongoDB)
🔥🔥🔥 Open source Reverse ETL - alternative to hightouch and census.
Python Streaming DataFrames for Kafka
Open-source ETL/ELT you deploy on your own servers or cloud. Built on DuckDB: no-code/low-code visual pipelines or SQL, 426 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
Import CSV and JSON into PostgreSQL the easy way
High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis.
The swiss army knife of healthcare integration.
omniparser: a native Golang ETL streaming parser and transform library for CSV, JSON, XML, EDI, text, etc.
ETL framework for .NET (Parser / Writer for CSV, Flat, Xml, JSON, Key-Value, Parquet, Yaml, Avro formatted files)
Healthcare data infrastructure for next generation care delivery.
Polo travels through your database and creates sample snapshots so you can work with real world data in development.
The simple, stupid batch framework for Java
Conduit streams data between data stores. Kafka Connect replacement. No JVM required.
Import, validate, query, and export GTFS Schedule and Realtime data with SQLite, PostgreSQL, and MySQL.
An extensible Java framework for building event-driven applications that break up XML and non-XML data into chunks for data integration
Neo4j Connector for Apache Spark, which provides bi-directional read/write access to Neo4j from Spark, using the Spark DataSource APIs