presidio | Context aware , pluggable and customizable data protection | Privacy library

 by   microsoft Python Version: 2.2.33 License: MIT

kandi X-RAY | presidio Summary

kandi X-RAY | presidio Summary

presidio is a Python library typically used in Security, Privacy applications. presidio has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. However presidio build file is not available. You can install using 'pip install presidio' or download it from GitHub, PyPI.

Context aware, pluggable and customizable data protection and de-identification SDK for text and images
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            kandi-support Support

              presidio has a medium active ecosystem.
              It has 2154 star(s) with 362 fork(s). There are 59 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 40 open issues and 241 have been closed. On average issues are closed in 61 days. There are 4 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of presidio is 2.2.33

            kandi-Quality Quality

              presidio has 0 bugs and 0 code smells.

            kandi-Security Security

              presidio has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              presidio code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              presidio is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              presidio releases are available to install and integrate.
              Deployable package is available in PyPI.
              presidio has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed presidio and discovered the below as its top functions. This is intended to give you an instant insight into presidio implemented functionality, and help decide if they suit your requirements.
            • Enhance the results using the given context .
            • Run nlp pipeline .
            • Map text analyzers to bounding boxes .
            • Return the list of available recognizers .
            • Analyzes the given text .
            • Anonymize a text .
            • Performs the operation on the given text .
            • Verify given image .
            • Removes duplicates from results .
            • Redacts the given image .
            Get all kandi verified functions for this library.

            presidio Key Features

            No Key Features are available at this moment for presidio.

            presidio Examples and Code Snippets

            Presidio-research,Getting started
            Pythondot img1Lines of Code : 13dot img1License : Permissive (MIT)
            copy iconCopy
            # Create conda env (optional)
            conda create --name presidio python=3.8
            conda activate presidio
            
            # Install package+dependencies
            pip install -r requirements.txt
            python setup.py install
            
            # Download a spaCy model used by presidio-analyzer
            python -m spacy   
            Presidio-research,3. Recognizer evaluation,Ready model / engine wrappers
            Pythondot img2Lines of Code : 10dot img2License : Permissive (MIT)
            copy iconCopy
            from presidio_evaluator.models import FlairTrainer
            train_samples = "../data/generated_train.json"
            test_samples = "../data/generated_test.json"
            val_samples = "../data/generated_validation.json"
            
            trainer = FlairTrainer()
            trainer.create_flair_corpus(tra  

            Community Discussions

            QUESTION

            Microsoft Presidio support for spark using scala
            Asked 2022-Jan-13 at 10:21

            Is there a way to use Microsoft Presidio for pii data encryption in Scala Spark? Is it only possible using pySpark?

            ...

            ANSWER

            Answered 2022-Jan-13 at 10:21

            Yes, looks like Microsoft Presidio support only Python. I came to this conclusion after seeing this official documentation, where only Python Sample code is given, also not able to find anything which indicates use of Scala.

            But, you can raise feature request here

            Source https://stackoverflow.com/questions/70692508

            QUESTION

            How to install Tesseract OCR on Databricks
            Asked 2021-Nov-02 at 14:08

            I am trying to run the following script on a databrick python notebook:

            ...

            ANSWER

            Answered 2021-Nov-02 at 14:08

            You can use %sh in a separate cell to execute the shell commands on the driver node. To install tesseract, you can do:

            Source https://stackoverflow.com/questions/69807660

            QUESTION

            Disable logs from imported module using the root logger
            Asked 2020-Oct-02 at 08:26

            One of Microsoft's presidio-analyzer modules logs with the root logger:

            ...

            ANSWER

            Answered 2020-Oct-02 at 08:26

            Patch the import of logging in that specific module, like so:

            Source https://stackoverflow.com/questions/64168180

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install presidio

            You can install using 'pip install presidio' or download it from GitHub, PyPI.
            You can use presidio like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
            Find more information at:

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            CLONE
          • HTTPS

            https://github.com/microsoft/presidio.git

          • CLI

            gh repo clone microsoft/presidio

          • sshUrl

            git@github.com:microsoft/presidio.git

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