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35 add streamlit UI #56

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Merged
Asifdotexe merged 11 commits into from
Jan 19, 2026
Merged

35 add streamlit UI #56

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68a14de
#35 added streamlit and made basic scaffolding
Asifdotexe Jan 19, 2026
6dc6e67
#35 implemented streamlit application
Asifdotexe Jan 19, 2026
86868a0
#35 modularised the app.py as there were too many locals
Asifdotexe Jan 19, 2026
df05399
#35 accidentally pushed the output folder
Asifdotexe Jan 19, 2026
9d6be23
#35 refactor: modularize analysis execution and report rendering func…
Asifdotexe Jan 19, 2026
88eaec3
#35 updated documentation and app version
Asifdotexe Jan 19, 2026
f616569
#35 added code logic to name the zipfile name dynamic
Asifdotexe Jan 19, 2026
30020a4
#35 added clear and start fresh button
Asifdotexe Jan 19, 2026
08bd39e
#35 added minty white theme
Asifdotexe Jan 19, 2026
dc9712b
#35 fixed the reviews given
Asifdotexe Jan 19, 2026
533b682
#35 removed try DORA online hyperlink
Asifdotexe Jan 19, 2026
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6 changes: 6 additions & 0 deletions .streamlit/config.toml
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[theme]
base = "light"
primaryColor = "#4ecdc4"
backgroundColor = "#F7FDFA"
secondaryBackgroundColor = "#E8F8F5"
textColor = "#262730"
11 changes: 11 additions & 0 deletions README.md
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Expand Up @@ -12,10 +12,21 @@
An interactive command-line tool to automate Exploratory Data Analysis (EDA) and generate beautiful, insightful reports in seconds.
</em>

<p align="center">
<a href="https://dora-eda.streamlit.app/">
<img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg" alt="Open in Streamlit">
</a>
<br>
</p>
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Asifdotexe marked this conversation as resolved.

## What is DORA?

DORA is a tool that does the heavy lifting of data analysis for you. Instead of writing code to create charts and calculate statistics, you give DORA your data file, and it builds a comprehensive, beautiful HTML report automatically.

You can use DORA in two ways:
1. **Web App**: No installation needed. Just upload your data and download the report.
2. **CLI Tool**: Install locally for power usage and automation.

If you have used tools like [ydata-profiling](https://github.com/ydataai/ydata-profiling) and [sweetviz](https://pypi.org/project/sweetviz/), DORA lets you do more. It provides a way to process kaggle dataset as well without a lot of clutter.

## Get started in 2 minutes
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