Python developers can use Streamlit to build and share data applications.
FreeOpen source
24 alternativesHow do PyCM and mlxtend compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | PyCM | mlxtend |
|---|---|---|
| What it is | PyCM provides a Python library for working with multiclass confusion matrices. | mlxtend adds helper modules for Python data analysis and machine learning libraries. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Yes | Not stated |
| Language | English | English |
| Alternatives |
Sites similar to both PyCM and mlxtend.
Python developers can use Streamlit to build and share data applications.
For Python data preparation, DataPrep offers an open-source low-code library to collect, clean, and visualize data.
AstroML provides Python tools for machine learning and data mining in astronomy.
SynapseML provides distributed machine learning algorithms for Spark through its Python library.
PipeRider provided code review tools for dbt data and has been superseded by Recce.
statsmodels provides statistical modeling and econometrics tools in Python.