Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
- batch-processing
- kafka
- pathway
- python
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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
SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.
- data-integration
- high-performance
- offline
- real-time
Migrate to PostgreSQL in a single command!
- postgresql
- migration
- mysql
- mssql
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).
Blazing-fast, Neuro-symbolic Data-Wrangling toolkit
- csv
- data-wrangling
- opendata
- data-engineering
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
:elephant: Elasticsearch real-time search and analytics natively integrated with Hadoop
Python Streaming DataFrames for Kafka
Copy a Postgres database to a target Postgres server (pg_dump | pg_restore on steroids)
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
Import CSV and JSON into PostgreSQL the easy way
High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis.
- flow
- rust
- rust-lang
- stream
omniparser: a native Golang ETL streaming parser and transform library for CSV, JSON, XML, EDI, text, etc.
- transform
- etl
- xml
- json
The simple, stupid batch framework for Java
- java
- batch-processing
- batch
:lipstick: Durable and asynchronous data imports for consuming data at scale and publishing testable SDKs.
- porter
- data-import
- framework
- data-transformation
Amazon Redshift Database Loader implemented in AWS Lambda
🌱 The ultimate solution for populating your MongoDB database.
Download, unpack from a ZIP/TAR/GZ/BZ2 archive, parse, correct, convert units and import Google Spreadsheets, XLS, ODS, XML, CSV, HTML, etc. into your ActiveRecord models. Uses RemoteTable gem internally.
Powerful CSV & Excel Import experience for SaaS 🚀 Save months building data import experience from scratch 💰
- csv-import
- data-import
- data-mapping
- data-review