dcp
| dcp | common-model | |
|---|---|---|
| 1 | 1 | |
| 9 | 8 | |
| - | - | |
| 10.0 | 10.0 | |
| over 1 year ago | over 1 year ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" License |
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.
dcp
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Launch HN: Patterns (YC S21) – A much faster way to build and deploy data apps
3. Sales lead enrichment, scoring, and routing: (https://studio.patterns.app/graph/9e11ml5wchab3r9167kk/lead-...
Oh and we have two Hacker News specials. Our Getting Started Tutorial features a Hacker News semantic search and alerting bot (https://www.patterns.app/docs/quick-start). We also built a template app that uses a LLM from Cohere.ai to classify HN stories into categories like AI, Programming, Crypto, etc. (https://studio.patterns.app/graph/n996ii6owwi5djujyfki/hn-co...).
Long-term, we want to build a collaborative ecosystem of reusable components and apps. To enable this, we’ve created abstractions over both data infrastructure (https://github.com/kvh/dcp.git) and “structurally-typed data interfaces” (https://github.com/kvh/common-model.git), along with a protocol for running data operations in Python or SQL (other languages soon) in a standard way across any cloud database or compute engine.
Thanks for reading this—we hope you’ll take a look! Patterns is an idea I’ve had in my head for over a decade now, and I feel blessed to have the chance to finally build it out with the best co-founder on the planet (thanks Chris!) and a world-class engineering team.
We’re still early beta and have a long road ahead, but we’re ready to be tried and eager for your feedback!
common-model
-
Launch HN: Patterns (YC S21) – A much faster way to build and deploy data apps
3. Sales lead enrichment, scoring, and routing: (https://studio.patterns.app/graph/9e11ml5wchab3r9167kk/lead-...
Oh and we have two Hacker News specials. Our Getting Started Tutorial features a Hacker News semantic search and alerting bot (https://www.patterns.app/docs/quick-start). We also built a template app that uses a LLM from Cohere.ai to classify HN stories into categories like AI, Programming, Crypto, etc. (https://studio.patterns.app/graph/n996ii6owwi5djujyfki/hn-co...).
Long-term, we want to build a collaborative ecosystem of reusable components and apps. To enable this, we’ve created abstractions over both data infrastructure (https://github.com/kvh/dcp.git) and “structurally-typed data interfaces” (https://github.com/kvh/common-model.git), along with a protocol for running data operations in Python or SQL (other languages soon) in a standard way across any cloud database or compute engine.
Thanks for reading this—we hope you’ll take a look! Patterns is an idea I’ve had in my head for over a decade now, and I feel blessed to have the chance to finally build it out with the best co-founder on the planet (thanks Chris!) and a world-class engineering team.
We’re still early beta and have a long road ahead, but we’re ready to be tried and eager for your feedback!
What are some alternatives?
orchest - Build data pipelines, the easy way 🛠️
getting-started - This repository is a getting started guide to Singer.
windmill - Open-source developer platform to turn scripts into workflows and UIs. Fastest workflow engine (5x vs Airflow). Open-source alternative to Airplane and Retool.
patterns-components - Patterns Open-source Components