Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
- batch-processing
- kafka
- pathway
- python
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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.
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.
- deep-learning
- document-parsing
- machine-learning
- nlp
Incremental engine for long horizon agents 🌟 Star if you like it!
- ai
- change-data-capture
- data-indexing
- etl
Fancy stream processing made operationally mundane
- message-queue
- stream-processing
- streaming-data
- message-bus
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
- privacy
- warehouse-management
- data-warehouse
- customer-data
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).
Fast, Simple and a cost effective tool to replicate data from Postgres to Data Warehouses, Queues and Storage
- etl
- sql
- bigquery
- cloud-native
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.
- clickhouse
- kakfa
- sql
- redpanda
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.
- data
- ingestion
- replication
- management
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.
- data-engineering
- data-integration
- data-pipeline
- data-quality
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
🌊 Continuously synchronize the systems where your data lives, to the systems where you _want_ it to live, by managing your data flows with Estuary. 🌊
- change-data-capture
- data
- data-collection
- data-engineering
The MongoDB Spark Connector
🌱 The ultimate solution for populating your MongoDB database.
High performance Kafka consumer for InfluxDB. Supports collectd message formats.
- kafka-influxdb
- kafka-consumer
- logstash
- influxdb
This is a library that provides generic functionalities for the implementation of imports. In addition to maximum performance and optimized memory consumption, Pacemaker can also be used to implement imports in distributed scenarios that place the highest demands on speed and stability.
- magento
- import
- products
- categories
Doc manager for Neo4j
Database synchronizer for Magento 2 (and Wordpress), based on Magerun2. Keeping development, staging and production in sync easily.
Go tool + library that publishes GIS vector data to GeoServer via PostGIS — walks a directory of shapefile / GeoJSON / GeoPackage / KML, loads each into PostGIS via GDAL/OGR, then registers the resulting tables as GeoServer feature types. Idempotent. Tested on GeoServer 2.27 LTS + 2.28 stable.
Reverse ETL for the code-first data stack
- bigquery
- cli
- data-engineering
- dbt
R COBOL DI (Data Integration) Package : Import COBOL CopyBook data files directly into R as properly structured data frames.
- r
- data-science
- dataframe
- data-frames
Send MQTT messages to Elasticsearch