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.
Repository Index
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dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
- dbt-viewpoint
- slack
- pypa
- data-modeling
OpenRefine is a free, open source power tool for working with messy data and improving it
- datacleansing
- data-analysis
- java
- opendata
🧙 Build, run, and manage data pipelines for integrating and transforming data.
LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows
- ai-agents
- data-engineering
- document-ai
- generative-ai
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.
TranslatedDataX integrated with a visual page: select a data source and generate a data synchronization task with one click. Supports data sources such as RDBMS, Hive, HBase, ClickHouse, and MongoDB, and batch creation of RDBMS data synchronization tasks. Integrates an open-source scheduling system, and supports distributed and incremental data synchronization, real-time viewing of running logs, monitoring of executor resources, KILL of running processes, encryption of data source information, and more.
Neo4j graph construction from unstructured data using LLMs
- data-import
- genai
- graph
- graph-rag
🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust RAG pipelines
- rag
- chonkie
- chunker
- chunking-algorithm
The open source repository for Electricity Maps data parsers that powers the world's most comprehensive electricity data platform
- sustainability
- data-visualization
- climate-change
- hacktoberfest
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.
- data
- transfer
- portability
- data-portability
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
- machine-learning
- convolutional-networks
- embedding-vectors
- embeddings
Download and parse data from Garmin Connect or a Garmin watch, FitBit CSV, and MS Health CSV files into and analyze data in Sqlite serverless databases with Jupyter notebooks.
- garmin
- python
- health
- database
Database Subsetting and Relational Data Browsing Tool.
Python scripts for ETL (extract, transform and load) jobs for Ethereum blocks, transactions, ERC20 / ERC721 tokens, transfers, receipts, logs, contracts, internal transactions. Data is available in Google BigQuery https://goo.gl/oY5BCQ
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
sq data wrangler
🔮 Instill Core is a full-stack AI infrastructure tool for data, model and pipeline orchestration, designed to streamline every aspect of building versatile AI-first applications
- unstructured-data
- low-code
- developer-tools
- etl
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
- sql
- redpanda
- single-binary
Python CLI utility and library for manipulating SQLite databases
- sqlite
- python
- datasette
- sqlite-database
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 ETL/ELT you deploy on your own servers or cloud. Built on DuckDB: no-code/low-code visual pipelines or SQL, 426 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