Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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Updated
Sep 19, 2024 - Python
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
An orchestration platform for the development, production, and observation of data assets.
Fancy stream processing made operationally mundane
🧙 Build, run, and manage data pipelines for integrating and transforming data.
Infinitely scalable, event-driven, language-agnostic orchestration and scheduling platform to manage millions of workflows declaratively in code.
Best-in-class stream processing, analytics, and management. Perform continuous analytics, or build event-driven applications, real-time ETL pipelines, and feature stores in minutes. Unified streaming and batch. PostgreSQL compatible.
The open source high performance ELT framework powered by Apache Arrow
Flink CDC is a streaming data integration tool
Build data pipelines, the easy way 🛠️
Privacy and Security focused Segment-alternative, in Golang and React
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).
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Open source data anonymization and synthetic data orchestration for developers. Create high fidelity synthetic data and sync it across your environments.
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
Quadratic | Technical Spreadsheet with Python, SQL, and AI
Apache DevLake is an open-source dev data platform to ingest, analyze, and visualize the fragmented data from DevOps tools, extracting insights for engineering excellence, developer experience, and community growth.
A curated list with resources about node-based UIs
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