FireDucks
Compiler Accelerated DataFrame Library for Python with fully-compatible pandas API
Get Startedimport fireducks.pandas as pd
A tech-talk on FireDucks and its offerings in SacPy July Meetup event (video) (Jul 12, 2024)
Kotera in FireDucks team won a silver medal in Kaggle (Jul 10, 2024)
Have you ever thought of speeding up your data analysis in pandas with a compiler?(blog) (Jul 03, 2024)
Evaluation result of Database-like ops benchmark with FireDucks is now available. (Jun 18, 2024)
![](https://fireducks-dev.github.io//images/G-1299152059-640x360.webp)
Do you have a pandas-based program that is slow? FireDucks can speed-up your programs without any manual code changes. You can accelerate your data analysis without worrying about slow performance due to single-threaded execution in pandas.
![](https://fireducks-dev.github.io//images/G-1173733640-640x360.webp)
Concerned about the cost and environmental impact of cloud computing? Our acceleration technology reduces cloud usage fees, while minimizing the CO2 emissions at the same time, making FireDucks an environment-friendly and wallet-friendly choice.
![](https://fireducks-dev.github.io//images/G-1412784748-640x360.webp)
FireDucks is developed by infusing the essence of supercomputers that NEC has refined over the years. Made in Japan, high-quality FireDucks promises reliability and high performance.
Features
FireDucks is multi-threaded, enabling higher speeds on multi-core CPUs. More
A runtime compiler embedded in the library optimizes your code. More
FireDucks is fully compatible with pandas API. The only difference is the import statement. No additional learning is required to start with FireDucks.Get started
You can run your pandas program directly with FireDucks. Its import-hook functionality will automatically replace the import statement for pandas with the import statement for FireDucks. More
FireDucks shows high performance gain while executing various queries included in the TPC-H and TPCx-BB benchmarks. More.
Use Cases
From Users
From Developers
![alt](https://fireducks-dev.github.io//images/G-1684558552-640x360.webp)
Have you ever thought of speeding up your data analysis in pandas with a compiler?
In general, a Data Scientist spends significant efforts in transforming the raw data into a more...
Read![alt](https://fireducks-dev.github.io//images/G-1684558552-640x360.webp)
Estimate the number of groups and group by
We are pleased to introduce about acceleration technology inside FireDucks.
Read![alt](https://fireducks-dev.github.io//images/G-1684558552-640x360.webp)
The import hook feature
We are pleased to introduce how to use FireDucks without modifying your existing programs at all.
Read