Python · Apache-2.0
MahdiKordian/DataForge
Automated data preparation for machine learning. Load a dataset, clean, transform, encode, scale and split it, explore it with built-in analysis, and export model-ready data with a full report. Built with Python and Streamlit.
★ 48
Stars
0 forks · 0 open issues
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Growth · stale
We stopped seeing this repository in its topic's top results, so its star count is frozen at the date it was last read. Subtracting from a frozen number would read as zero growth, which would be false, so no rate is shown.
17.6
Momentum / 100
see the breakdown below
39d ago
Created
last push 30d ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 0.0 | — — no measurable rate |
| Acceleration | 15 | 0.0 | needs 7-day and 30-day rates side by side |
| Freshness | 15 | 12.7 | last push 30d ago; decays to zero at 180 days |
| Scale | 15 | 4.9 | 48 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 17.6 | capped at 35 because growth is unmeasured |
Detail
| Topics | categorical-encodingdata-cleaningdata-pipelinedata-preparationdata-preprocessingdata-sciencedata-visualizationedaexploratory-data-analysisfeature-engineeringfeature-scalingmachine-learningnumpyoutlier-detectionpandaspythonstreamlittrain-test-split |
| Matched on | Data (data-pipeline) |
| Short window | +0 stars over 10 days = 0.0/day |
| Long window | +2 stars over 20 days = 0.1/day |
| Lifetime average | 1.31 stars/day over 37 days |
| First seen here | 2026-10-16 |
| Last read | 12d ago |