Data Manipulation, Matrix, and Mathematical Libraries¶
Description |
Libraries that provide data manipulation and mathematical primitives. Many of these libraries are key components used by other data science projects. |
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Projects |
11 |
Lines Committed vs. Age Chart (click to view) |
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Projects¶
Project |
Size Score |
Trend Score |
Byline |
|---|---|---|---|
3.25 |
2.75 |
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk |
|
7.0 |
6.0 |
GPU dataframe library |
|
2.5 |
7.0 |
The Python DataFrame for Complex Data |
|
7.5 |
6.5 |
A C++ standalone library for machine learning |
|
6.25 |
6.5 |
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more |
|
4.75 |
2.25 |
Apache Mahout is a distributed linear algebra framework and mathematically expressive Scala DSL designed to let mathematicians, statisticians, and data scientists quickly implement their own algorithms. |
|
5.0 |
7.5 |
Speed up your Pandas workflows by changing a single line of code |
|
8.25 |
4.0 |
The fundamental package for scientific computing with Python. |
|
7.25 |
5.25 |
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more. |
|
4.0 |
9.75 |
Fast multi-threaded, hybrid-streaming DataFrame library in Rust | Python | Node.js |
|
7.25 |
5.75 |
Statistical modeling and econometrics in Python |