pyDenStream VS stringlifier

Compare pyDenStream vs stringlifier and see what are their differences.

pyDenStream

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

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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pyDenStream stringlifier
1 1
9 157
- 0.6%
5.2 0.0
about 2 months ago about 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.
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.

pyDenStream

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

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 pyDenStream and stringlifier you can also consider the following projects:

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.

torchextractor - Feature extraction made simple with torchextractor

dedupe - :id: A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.

PolyFuzz - Fuzzy string matching, grouping, and evaluation.

impfuzzy - Fuzzy Hash calculated from import API of PE files

muzero-general - MuZero

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

DBCV - Python implementation of Density-Based Clustering Validation

hazelcast-python-client - Hazelcast Python Client

woodKubernetes - LXD wood cluster

richkit - Domain Enrichment Toolkit $ pip install richkit