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ReadME: Table format updated for covered workflows (#112)
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sayantikabanik authored Jan 8, 2025
2 parents a7c0098 + 159c3f9 commit 79a2b21
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Expand Up @@ -43,19 +43,22 @@ Each layer has a certain strength of communication inbuilt
{✨= Experimental,
✅ = Implemented}

`Python Packaging framework` design principles\
`GitHub actions` configured\
`Vale.sh` configured at PR level\
`Pre-commit hooks` configured for code linting/formatting\
`Hello world` LLM design example based on [LangChain](https://python.langchain.com/)\
✅ Environment management via [pixi](https://prefix.dev/)\
✅ Reading data from online sources using [intake](https://github.com/intake/intake)\
✅ Sample pipeline built using [Dagster](https://github.com/dagster-io/dagster)\
✅ Building Dashboard using [holoviews](https://holoviews.org/gallery/index.html) + [panel](https://panel.holoviz.org/reference/index.html)\
✅ Exploratory data analysis (EDA) using [mito](https://www.trymito.io/)\
✅ Web UI build on [Flask](https://flask.palletsprojects.com/en/3.0.x/) \
✅ Web UI re-done and expanded with [FastHTML](https://docs.fastht.ml/)\
✅ Leverage AI models to analyse data [GitHub AI models Beta](https://docs.github.com/en/github-models/prototyping-with-ai-models)
| Status | Workflow Description |
|--------|------------------------------------------------------------------------------------------------------------------|
|| `Python Packaging framework` design principles |
|| `GitHub actions` configured |
|| `Vale.sh` configured at PR level |
|| `Pre-commit hooks` configured for code linting/formatting |
|| `Hello world` LLM design example based on [LangChain](https://python.langchain.com/) |
|| Environment management via [pixi](https://prefix.dev/) |
|| Reading data from online sources using [intake](https://github.com/intake/intake) |
|| Sample pipeline built using [Dagster](https://github.com/dagster-io/dagster) |
|| Building Dashboard using [holoviews](https://holoviews.org/gallery/index.html) + [panel](https://panel.holoviz.org/reference/index.html) |
|| Exploratory data analysis (EDA) using [mito](https://www.trymito.io/) |
|| Web UI build on [Flask](https://flask.palletsprojects.com/en/3.0.x/) |
|| Web UI re-done and expanded with [FastHTML](https://docs.fastht.ml/) |
|| Leverage AI models to analyse data [GitHub AI models Beta](https://docs.github.com/en/github-models/prototyping-with-ai-models) |


### ☕️ Quickly getting started with DataJourney

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