DBCV VS stringlifier

Compare DBCV vs stringlifier and see what are their differences.

DBCV

Python implementation of Density-Based Clustering Validation (by christopherjenness)

stringlifier

Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data. (by adobe)
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DBCV stringlifier
1 1
140 157
- 0.0%
0.0 0.0
5 months ago about 1 year ago
Python Python
MIT License Apache License 2.0
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.
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DBCV

Posts with mentions or reviews of DBCV. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-05.

stringlifier

Posts with mentions or reviews of stringlifier. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing DBCV and stringlifier you can also consider the following projects:

minisom - :red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

torchextractor - Feature extraction made simple with torchextractor

DimReductionClustering

pyDenStream - Implementation of the DenStream algorithm in Python.

awesome-community-detection - A curated list of community detection research papers with implementations.

PolyFuzz - Fuzzy string matching, grouping, and evaluation.

orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis

muzero-general - MuZero

woodKubernetes - LXD wood cluster

richkit - Domain Enrichment Toolkit $ pip install richkit