Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
- batch-processing
- kafka
- pathway
- python
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Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
SubQuery is an Open, Flexible, Fast and Universal data indexing framework for web3. Our mission is to help developers create the decentralised products of the future.
Logstash - transport and process your logs, events, or other data
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
OpenRefine is a free, open source power tool for working with messy data and improving it
Incremental engine for long horizon agents 🌟 Star if you like it!
SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.
Fancy stream processing made operationally mundane
Enso Analytics is a self-service data prep and analysis platform designed for data teams.
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.
Flink CDC is a streaming data integration tool
Apache Camel is an open source integration framework with 350+ connectors. Write routes in Java, YAML, or XML. Run on Spring Boot, Quarkus, or standalone. Apache License 2.0.
The live data layer for apps and AI agents. Create up-to-the-second views into your business, just using SQL
Jitsu is an open-source Segment alternative. Fully-scriptable data ingestion engine for modern data teams. Set-up a real-time data pipeline in minutes, not days
Privacy and Security focused Segment-alternative, in Golang and React
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).
A data integration framework
ingestr is a CLI tool to copy data between any databases with a single command seamlessly.
The Data Transfer Project makes it easy for platforms to build interoperable user data portability features. We are establishing a common framework, including data models and protocols, to enable direct transfer of data both into and out of participating online service providers.
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
Scalable and efficient data transformation framework - backwards compatible with dbt.
Fast, Simple and a cost effective tool to replicate data from Postgres to Data Warehouses, Queues and Storage
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Spring Batch is a framework for writing batch applications using Java and Spring