pyDenStream VS stringlifier

Compare pyDenStream vs stringlifier and see what are their differences.


Implementation of the DenStream algorithm in Python. (by MrParosk)


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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pyDenStream stringlifier
1 1
6 137
- 0.7%
0.0 0.0
2 months ago over 1 year ago
Python Python
- 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.
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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.


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


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 pyDenStream and stringlifier you can also consider the following projects:

torchextractor - Feature extraction made simple with torchextractor

uis-rnn - This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.

muzero-general - MuZero

PolyFuzz - Fuzzy string matching, grouping, and evaluation.

impfuzzy - Fuzzy Hash calculated from import API of PE files

woodKubernetes - LXD wood cluster