🐼 Pandas is outdated, FireDucks offers a replacement without code rewriting

Pandas is the most popular library for data processing, but it has long suffered from low performance. Modern alternatives like Polars significantly outperform it, but switching to new frameworks requires learning a new API, which stops many developers.

🔥 FireDucks solves this problem by offering full compatibility with Pandas but with multi-threaded processing and compiler acceleration. All that is needed for the transition is to change one line:

import fireducks.pandas as pd

FireDucks is faster than Pandas and Polars, as confirmed by benchmarks:

🔗 FireDucks GitHub repository: https://github.com/fireducks-dev/fireducks
🔗 Comparison with Polars and Pandas: https://github.com/fireducks-dev/fireducks/blob/main/notebooks/FireDucks_vs_Pandas_vs_Polars.ipynb
🔗 Detailed benchmarks: https://fireducks-dev.github.io/docs/benchmarks/