Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
- batch-processing
- kafka
- pathway
- python
Repository Index
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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
The leader in Customer Data Infrastructure
- snowplow
- analytics
- data
- data-pipeline
Migrate to PostgreSQL in a single command!
- postgresql
- migration
- mysql
- mssql
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
ingestr is a CLI tool to copy data between any databases with a single command seamlessly.
- bigquery
- copy-database
- data-ingestion
- data-integration
Sync data from one Postgres database to another
LFX Community Data Platform (CDP)
- community
- cdp
- open-source
Fast, Simple and a cost effective tool to replicate data from Postgres to Data Warehouses, Queues and Storage
- etl
- sql
- bigquery
- cloud-native
Self-hosted platform to unify wearable health data through one AI-ready API.
- wearables
- apple-health
- apple-watch
- fitness
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
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.
- analytics
- bigquery
- data-modeling
- data-pipelines
🔥🔥🔥 Open source Reverse ETL - alternative to hightouch and census.
- data-engineering
- reverse-etl
- data-pipeline
- data-activation
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
visual data prep powered by python
- data
- data-pipelines
- etl
- structured-data
omniparser: a native Golang ETL streaming parser and transform library for CSV, JSON, XML, EDI, text, etc.
- transform
- etl
- xml
- json
📈 Collect customer event data from your apps. (Note that this project only includes the API collector, not the visualization platform)
🌱 The ultimate solution for populating your MongoDB database.
Neo4j Connector for Apache Spark, which provides bi-directional read/write access to Neo4j from Spark, using the Spark DataSource APIs
- spark
- neo4j-connector
- cypher
- neo4j-driver
The data transformation tool the open-source community deserves.