tsfresh automatically extracts relevant features from time series data.
Open source
24 alternativesHow do Modin and Lance compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Modin | Lance |
|---|---|---|
| What it is | Modin scales Pandas data workflows by changing a single line of code in a project. | Lance provides an open lakehouse format for multimodal AI, with vector indexing and data versioning. |
| 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 |
Sites similar to both Modin and Lance.
tsfresh automatically extracts relevant features from time series data.
This project profiles data quality and supports exploratory analysis of Pandas and Spark DataFrames.
Snorkel helps generate training data programmatically through weak supervision.
oneDAL is a C++ and DPC++ library for accelerated machine learning routines on tabular data, governed by the UXL Foundation.
The Featuretools Python library supports automated feature engineering and is published as open source.
Optimus supports agile data preparation workflows across Pandas, Dask, cuDF, Vaex, and PySpark.