Data science libraries in Python and Elixir
October 2022 • 30 words • 1 min read
Data science in Elixir is maturing at a rapid pace. This post lists data science libraries in Python along with their Elixir equivalent.
- Python: Jupyter
- Elixir: Livebook
- Python: NumPy
- Elixir: Nx
Traditional Machine Learning
- Python: scikit-learn
- Elixir: Scholar
- Python: PyTorch / TensorFlow
- Elixir: Axon
It is also possible to use pre-trained models, you can use AxonOnnx for it.
- Python: Pandas
- Elixir: Explorer
Explorer is built on top of polars library which is a lightning fast DataFrames implementation in Rust.
Data presentation and visualization
- Python: Plotly Express / matplotlib
- Elixir: VegaLite
VegaLite is Elixir bindings to Vega-Lite, a high-level grammar of interactive graphics.
Network and geographic visualization
- Python: NetworkX (network), Folium (geo)
- Elixir: no equivalent so far
Pipelines and orchestration
Elixir runs over Erlang VM called BEAM, and hence by design can work better than Python processing data in concurrent and fault-tolerant manner.
For custom domains like NLP, computer vision and signal processing, Elixir libraries are still being worked upon.