mlxtend adds helper modules for Python data analysis and machine learning libraries.
Upgini
vsPyCM
Upgini vs PyCM
How do Upgini and PyCM compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Upgini | PyCM |
|---|---|---|
| What it is | For machine learning pipelines, Upgini searches and enriches data with features from public and commercial sources. | PyCM provides a Python library for working with multiclass confusion matrices. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Yes | Yes |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both Upgini and PyCM.
Python developers can use Streamlit to build and share data applications.
FreeOpen source
24 alternatives
SynapseML provides distributed machine learning algorithms for Spark through its Python library.
Open source
24 alternatives
Machine learning pipelines can use whylogs, an open-source library for logging data quality and model performance.
Open source
24 alternatives
Apache Hamilton helps teams build modular, testable dataflows with lineage and metadata.
Open source
24 alternatives
Python developers can use gensim for topic modeling and related natural language processing tasks.
Open source
24 alternatives