normcap VS SDV

Compare normcap vs SDV and see what are their differences.

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normcap SDV
18 59
1,708 2,144
- 2.5%
9.3 9.4
1 day ago 3 days ago
Python Python
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

normcap

Posts with mentions or reviews of normcap. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-14.

SDV

Posts with mentions or reviews of SDV. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-27.

What are some alternatives?

When comparing normcap and SDV you can also consider the following projects:

pytesseract - A Python wrapper for Google Tesseract

CTGAN - Conditional GAN for generating synthetic tabular data.

textshot - Python tool for grabbing text via screenshot

gretel-python-client - The Gretel Python Client allows you to interact with the Gretel REST API.

pyocr

machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.

Signalum - To explore creating an application that detects available connections at once from wifi and bluetooth

tsfresh - Automatic extraction of relevant features from time series:

TextSnatcher - How to Copy Text from Images ? Answer is TextSnatcher !. Perform OCR operations in seconds on Linux Desktop.

Copulas - A library to model multivariate data using copulas.

D3DShot - Extremely fast and robust screen capture on Windows with the Desktop Duplication API

TimeSynth - A Multipurpose Library for Synthetic Time Series Generation in Python