tsfresh automatically extracts relevant features from time series data.
Open source
24 alternativesLance
vsTabGAN
Lance vs TabGAN
How do Lance and TabGAN compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Lance | TabGAN |
|---|---|---|
| What it is | Lance provides an open lakehouse format for multimodal AI, with vector indexing and data versioning. | This TabGAN repository reviews research on applying GANs to generate tabular data. |
| 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 Lance and TabGAN.
Snorkel helps generate training data programmatically through weak supervision.
Open source
24 alternatives
The Featuretools Python library supports automated feature engineering and is published as open source.
Open source
24 alternatives
oneDAL is a C++ and DPC++ library for accelerated machine learning routines on tabular data, governed by the UXL Foundation.
Open source
24 alternatives
pytorch tabular provides a unified framework for deep learning models on tabular data.
Open source
24 alternatives
Feature Engine provides Python tools for feature engineering and selection that are compatible with scikit-learn.
Open source
24 alternatives