dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
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dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
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.
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
ingestr is a CLI tool to copy data between any databases with a single command seamlessly.
Database Subsetting and Relational Data Browsing Tool.
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
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, 385 components, dbt, CDC, data quality, reverse ETL, lineage, MCP for AI agents. No vendor cloud, no per-row billing.
Conduit streams data between data stores. Kafka Connect replacement. No JVM required.
SmartCode = IDataSource -> IBuildTask -> IOutput => Build Everything!!!
An extensible Java framework for building event-driven applications that break up XML and non-XML data into chunks for data integration
Powerful CSV & Excel Import experience for SaaS 🚀 Save months building data import experience from scratch 💰
Please note that the warc-indexer tool & code is now supported by NetArchiveSuite. The 'warc-indexer' directory and code that exists in this repo is now only for reference. For support and issues of 'warc-indexer', please communicate with NetArchiveSuite.
Algorand's data pipeline framework.
EtlKit is a lightweight ETL (extract · transform · load) library and data integration toolbox for .NET. Build your own data pipelines programmatically in C# — readable, testable, and tracked in source control like the rest of your code.
Data logistics system enabling real-time pathogen surveillance. Built for the Seattle Flu Study.