prism
Mage
prism | Mage | |
---|---|---|
7 | 77 | |
79 | 7,171 | |
- | 5.1% | |
8.9 | 9.9 | |
about 2 months ago | 1 day ago | |
Python | Python | |
Apache License 2.0 | 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.
prism
- Prism: the easiest way to create robust data workflows. Accessible via CLI
- Show HN: Prism – a framework for creating robust data science workflows
- Show HN: Prism – Data Orchestration in Python
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Introducing Prism: A Novel, Open-Source Data Orchestration Software. Feedback needed!
🔗 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
Mage
- FLaNK AI-April 22, 2024
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A mage on the Hero’s Journey: a fantasy epic on how a startup rose from the ashes
In the coming years, Mage will create a cooperative experience so that developers can build data pipelines with their team and level up together. After that journey, Mage will go on an epic quest to create the 1st open world community experience in the data universe.
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Data sources episode 2: AWS S3 to Postgres Data Sync using Singer
Link to original blog: https://www.mage.ai/blog/data-sources-ep-2-aws-s3-to-postgres-data-sync-using-singer
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What are some open-source ML pipeline managers that are easy to use?
I would recommend the following: - https://www.mage.ai/ - https://dagster.io/ - https://www.prefect.io/ - https://metaflow.org/ - https://zenml.io/home
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Mage Battlegrounds: Craft insights from real-time customer behavior analysis
You're invited to participate in the very first Mage Battlegrounds: Craft insights from real-time customer behavior analysis, a 24-hour virtual hackathon hosted by Shashank Mishra! This data engineering competition will take place on Saturday, April 15, 2023 beginning at 11am (PST). This will be a global event open to all participants who register.
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Looking for an open-source project
Try this feature: https://github.com/mage-ai/mage-ai/issues/1166
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Daskqueue: Dask-based distributed task queue
Seeing if we can use it in https://github.com/mage-ai/mage-ai
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Data Pipeline on a Shoestring
That being said there’s a solid family of services just breaking ground that make the local pipeline deployment easier (check out https://www.mage.ai, which does have a clear path to cloud deployment of locally developed pipes, it just isn’t well documented yet, and also https://www.neuronsphere.io - which doesn’t have a public solution YET (they’re internally testing an alpha) but they built a cloud deployable solution for their paying customers and working to release one for freemium use)
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Trending ML repos of the week 📈
7️⃣ mage-ai/mage-ai
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Delta without using Spark
Yes, check out how Mage does it: https://github.com/mage-ai/mage-ai/tree/master/mage_integrations/mage_integrations/destinations/delta_lake_s3
What are some alternatives?
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.
dagster - An orchestration platform for the development, production, and observation of data assets.
JDR - Job Dependency Runner
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
retake - PostgreSQL for Search [Moved to: https://github.com/paradedb/paradedb]
vscode-dvc - Machine learning experiment tracking and data versioning with DVC extension for VS Code
paradedb - Postgres for Search and Analytics
sqlmesh - Efficient data transformation and modeling framework that is backwards compatible with dbt.
multiwoven - 🔥🔥🔥 Open Source Alternative to Hightouch, Census, and RudderStack.
mito - The mitosheet package, trymito.io, and other public Mito code.
data-diff - Compare tables within or across databases
Data-Science-Roadmap - Data Science Roadmap from A to Z