Machine learning pipelines can use whylogs, an open-source library for logging data quality and model performance.
Open source
24 alternativesHow do jSciPy and DataPrep compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | jSciPy | DataPrep |
|---|---|---|
| What it is | jSciPy provides Java scientific computing tools for signal processing, FFT, filtering, power spectral density, and DCT. | For Python data preparation, DataPrep offers an open-source low-code library to collect, clean, and visualize data. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Android | Not recorded |
| Open source | Yes | Yes |
| Language | English | English |
| Alternatives |
Sites similar to both jSciPy and DataPrep.
Machine learning pipelines can use whylogs, an open-source library for logging data quality and model performance.
mlxtend adds helper modules for Python data analysis and machine learning libraries.
The Geni project provides a Clojure dataframe library that runs on Apache Spark.
Python developers can use Dash to build data apps and dashboards without requiring JavaScript.
statsmodels provides statistical modeling and econometrics tools in Python.
Weights & Biases supports model training, fine tuning, and management from experimentation through production.