blog-build-etl-pipeline
prism
blog-build-etl-pipeline | prism | |
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1 | 7 | |
10 | 79 | |
- | - | |
0.0 | 8.9 | |
about 2 years ago | about 2 months ago | |
Python | Python | |
- | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
blog-build-etl-pipeline
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FastAPI ETL server - getting ready for production
Apologies - code is here https://github.com/h3xagn/blog-build-etl-pipeline
prism
- Prism: the easiest way to create robust data workflows. Accessible via CLI
- Show HN: Prism β a framework for creating robust data science workflows
- Show HN: Prism β Data Orchestration in Python
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Introducing Prism: A Novel, Open-Source Data Orchestration Software. Feedback needed!
π Website: https://runprism.com/
By joining our Alpha testing phase, you have the unique opportunity to be among the first users to experience Prism in action. Your invaluable feedback will directly impact the development of this platform, helping us make it even better, more stable, and tailored to your needs. Visit our website https://runprism.com to learn more about the platform and its features. In addition, check out our documentation at https://docs.runprism.com to get started right away! Access the GitHub repository https://github.com/runprism/prism to view the source code, report issues, and contribute to the project. Try out Prism in your own workflow environment and let us know what you think! We highly encourage you to share your thoughts, suggestions, and bug reports with us. Feel free to post your feedback directly in this thread, or if you prefer, you can raise issues on GitHub. Your input is invaluable to us, and together, we can shape Prism into the go-to tool for data workflow orchestration.
- Prism - a lightweight, yet powerful data orchestration platform in Python. Accessible via CLI
What are some alternatives?
WeDX - Building Edge AI Pipelines with No-Code
datavault4dbt - Scalefree's dbt package for a Data Vault 2.0 implementation congruent to the original Data Vault 2.0 definition by Dan Linstedt including the Staging Area, DV2.0 main entities, PITs and Snapshot Tables.
JDR - Job Dependency Runner
retake - PostgreSQL for Search [Moved to: https://github.com/paradedb/paradedb]
paradedb - Postgres for Search and Analytics
multiwoven - π₯π₯π₯ Open Source Alternative to Hightouch, Census, and RudderStack. Leading Reverse ETL and Customer Data Platform (CDP) for Data Teams.
data-diff - Compare tables within or across databases
jupysql - Better SQL in Jupyter. π
workshop-realtime-data-pipelines - You will inspect and run a sample architecture making use of Apache Pulsarβ’ and Pulsar Functions for real-time, event-streaming-based data ingestion, cleaning and processing.
verified-sources - Contribute to dlt verified sources π₯
Mage - π§ The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai
versatile-data-kit - One framework to develop, deploy and operate data workflows with Python and SQL.