Figue

Figue only provides K-means, fuzzy c-means, and agglomerative clustering algorithms, lacking other popular methods like DBSCAN or spectral clustering.

The official documentation lacks examples and explanations for more complex clustering scenarios, making it difficult to extend beyond basic usage.

Figue's algorithms may suffer from performance bottlenecks when processing very large datasets due to its pure Python implementation without optimizations like vectorization or parallelism.

The GitHub repository has limited contributions, issues, and pull requests, indicating a small user base that may not provide timely support or improvements.