> ## Documentation Index
> Fetch the complete documentation index at: https://visual-layer-mintlify-changelog-1777594172.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# API Comparison

> V1 and V0.

# Comparison to the old API

The new Fastdup V1.0 API follows much of the existing interface but tries to simplify the usage and avoid the need to provide paths and parameters repeatedly.

### V1.0

For the V1.0 API, input and work directories are set once at initialization. Parameters for the `fastdup.run` function are used in the `.run()` methods, following the same naming.

Galleries and visualization are under the `.vis` subclass.

```python python theme={null}
import fastdup

fd = fastdup.create(work_dir="out", input_dir="/path/to/your/folder")
fd.run(nearest_neighbors_k=5, ccthreshold=0.96)

fd.vis.duplicates_gallery()     #create a visual gallery of found duplicates
fd.vis.outliers_gallery()       #create a visual gallery of anomalies
fd.vis.components_gallery()     #create visualiaiton of connected components
fd.vis.stats_gallery()          #create visualization of images stastics (for example blur)
```

### V0.2xx

The previous (V0.2xx) API is still fully supported and no breaking changes were made.\
For working with webdataset/ tar/ zip files containing images please use v0.2.

```python theme={null}
import fastdup

fastdup.run(input_dir="/path/to/your/folder", work_dir='out', nearest_neighbors_k=5, turi_param='ccthreshold=0.96')    #main running function.

fastdup.create_duplicates_gallery('out/similarity.csv', save_path='.')     #create a visual gallery of found duplicates
fastdup.create_outliers_gallery('out/outliers.csv',   save_path='.')       #create a visual gallery of anomalies
fastdup.create_components_gallery('out', save_path='.')                    #create visualiaiton of connected components
fastdup.create_stats_gallery('out', save_path='.', metric='blur')          #create visualization of images stastics (for example blur)
```