Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
- batch-processing
- kafka
- pathway
- python
Repository Index
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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.
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
Logstash - transport and process your logs, events, or other data
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
The leader in Customer Data Infrastructure
- snowplow
- analytics
- data
- data-pipeline
Fast, Simple and a cost effective tool to replicate data from Postgres to Data Warehouses, Queues and Storage
- etl
- sql
- bigquery
- cloud-native
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.
- dataops
- dataops-platform
- elt
- open-source
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
Open-source IoT Gateway - integrates devices connected to legacy and third-party systems with ThingsBoard IoT Platform using Modbus, CAN bus, BACnet, BLE, OPC-UA, MQTT, ODBC and REST protocols.
Data processing & ETL framework for Ruby
- etl
- etl-ruby
- ruby
- data
Python Streaming DataFrames for Kafka
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis.
- flow
- rust
- rust-lang
- stream
📈 Collect customer event data from your apps. (Note that this project only includes the API collector, not the visualization platform)
Polo travels through your database and creates sample snapshots so you can work with real world data in development.
- database
- snapshot
- productivity
- activerecord
The simple, stupid batch framework for Java
- java
- batch-processing
- batch
An extensible Java framework for building event-driven applications that break up XML and non-XML data into chunks for data integration
- java
- smooks
- enterprise-integration
- etl
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
A data migration and visualization command line gem in Ruby
High performance Kafka consumer for InfluxDB. Supports collectd message formats.
- kafka-influxdb
- kafka-consumer
- logstash
- influxdb
AtlasMap project repository
- atlasmap
An Apache Spark framework for easy data processing, extraction as well as derivation for web archives and archival collections, developed at Internet Archive.
- archivespark
- spark-framework
- spark
- web-archiving