markupsafe | Safely add untrusted strings to HTML/XML markup

 by   pallets Python Version: 2.1.3 License: BSD-3-Clause

kandi X-RAY | markupsafe Summary

kandi X-RAY | markupsafe Summary

markupsafe is a Python library typically used in Template Engine applications. markupsafe has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install markupsafe' or download it from GitHub, PyPI.

Safely add untrusted strings to HTML/XML markup.

            kandi-support Support

              markupsafe has a low active ecosystem.
              It has 537 star(s) with 146 fork(s). There are 26 watchers for this library.
              There were 2 major release(s) in the last 6 months.
              There are 0 open issues and 107 have been closed. On average issues are closed in 9 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of markupsafe is 2.1.3

            kandi-Quality Quality

              markupsafe has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              markupsafe is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              markupsafe releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              It has 550 lines of code, 82 functions and 15 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed markupsafe and discovered the below as its top functions. This is intended to give you an instant insight into markupsafe implemented functionality, and help decide if they suit your requirements.
            • Escape a string
            • Escape special characters
            • Create markup
            • Format a field value
            • Modify format specification
            • Simple wrapper around simple escaping
            • Escape key - value pairs
            • List all available benchmarks
            • Run setup
            • Run a bench
            Get all kandi verified functions for this library.

            markupsafe Key Features

            Safely add untrusted strings to HTML/XML markup.

            markupsafe Examples and Code Snippets

            String Formatting-printf-style Formatting
            Pythondot img1Lines of Code : 0dot img1License : Permissive (BSD-3-Clause)
            copy iconCopy
            >>> user = User(3, "  
            String Formatting-Format Method
            Pythondot img2Lines of Code : 0dot img2License : Permissive (BSD-3-Clause)
            copy iconCopy
            class User(object):
                def __init__(self, id, name):
           = id
           = name
            def __html_format__(self, format_spec):
                if format_spec == "link":
                    return Markup(
            Pythondot img3Lines of Code : 0dot img3License : Permissive (BSD-3-Clause)
            copy iconCopy
            pip install -U MarkupSafe  
            My Docker container gives me an ImportError: Cannot import name 'Markup' from Jinja2
            Pythondot img4Lines of Code : 5dot img4License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            from jinja2.utils import markupsafe 
            docker-compose up ModuleNotFoundError: No module named 'sqlalchemy'
            Pythondot img5Lines of Code : 23dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            FROM python:3.8
            WORKDIR /usr/src/app
            COPY requirements.txt ./
            RUN pip install --no-cache-dir -r requirements.txt
            COPY . .
            CMD [ "python", "./" ]
            version: '3'
                build: ./
            Docker Build Fails at "locate package python-pydot"
            Pythondot img6Lines of Code : 20dot img6License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            FROM openjdk:8
            RUN apt-get update && apt-get install -y python3 python3-pip
            RUN apt-get -y install python3-pydot python3-pydot-ng graphviz
            RUN apt-get -y install python3-tk
            RUN apt-get -y install zip unzip
            RUN apt-get -y install
            No module named 'encodings' on OpenSuse
            Pythondot img7Lines of Code : 14dot img7License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            >>> import sysconfig
            >>> sysconfig.get_path('stdlib')
            ls -ld /usr/local/lib/python3.9/encodings
            drwxr-xr-x  3 root  wheel  5632 Dec 11 14:34 /usr/local/lib/python
            H10 error when trying to start heroku app
            Pythondot img8Lines of Code : 2dot img8License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            from turtle import back
            No such file or directory: '/opt/anaconda3/lib/python3.8/site-packages/rtree/lib'
            Pythondot img9Lines of Code : 4dot img9License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            python is /opt/anaconda3/bin/python
            python is /usr/local/bin/python
            python is /usr/bin/python
            detach().cpu() kills kernel
            Pythondot img10Lines of Code : 8dot img10License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            def Exec_ShowImgGrid(ObjTensor, ch=1, size=(28,28), num=16):
                #tensor: 128(pictures at the time ) * 784 (28*28)
                Objdata= ObjTensor.detach().cpu().view(-1,ch,*size) #128 *1 *28*28 
                Objgrid= make_grid(Objdata[:num],nrow=4).permute

            Community Discussions


            Python/Docker ImportError: cannot import name 'json' from itsdangerous
            Asked 2022-Mar-31 at 12:49

            I am trying to get a Flask and Docker application to work but when I try and run it using my docker-compose up command in my Visual Studio terminal, it gives me an ImportError called ImportError: cannot import name 'json' from itsdangerous. I have tried to look for possible solutions to this problem but as of right now there are not many on here or anywhere else. The only two solutions I could find are to change the current installation of MarkupSafe and itsdangerous to a higher version: and another one on GitHub that tells me to essentially change the MarkUpSafe and itsdangerous installation again, I have also tried to make a virtual environment named veganetworkscriptenv to install the packages but that has also failed as well. I am currently using Flask 2.0.0 and Docker 5.0.0 and the error occurs on line eight in

            Here is the full ImportError that I get when I try and run the program:



            Answered 2022-Feb-20 at 12:31

            I was facing the same issue while running docker containers with flask.

            I downgraded Flask to 1.1.4 and markupsafe to 2.0.1 which solved my issue.

            Check this for reference.



            How to change MarkUpSafe version in virtual environment?
            Asked 2022-Feb-26 at 04:28

            I am trying to make an application using python and gRPC as shown in this article - link

            I am able to run the app successfully on my terminal but to run with a frontend I need to run it as a flask app, codebase. And I am doing all this in a virtual environment.

            when I run my flask command flask run

            This is the error I get



            Answered 2022-Feb-26 at 04:28

            If downgrading will solve the issue for you try the following code inside your virtual environment.

            pip install MarkupSafe==2.0.1



            What is a fast way to force Python to find a module, without regard to virtualenv?
            Asked 2022-Feb-23 at 12:02

            I'm taking over a project. 5 engineers worked on this for several years, but they are all gone. I've been tasked with trying to revive this project and keep it going. It's a big Python project with several complicated install scripts which, nowadays, have many version errors, because the stuff that worked 3 or 4 years ago is all long since deprecated and possibly discontinued.

            Buried deep in one of the many install scripts (they all call each other multiple times, in a spaghetti that I cannot figure out) there is probably an instruction that sets up a virtual environment, but I can't find the line and I don't care. This software is going onto a clean install of an EC2 (with Centos 7) that I control completely. And this piece of software is the only software that will ever run on this EC2 instance, so I'm happy to install everything globally.

            The install script was unable to find Python 3.6 so I manually did this:



            Answered 2022-Feb-23 at 11:32

            You can add any path like this:



            ImportError: cannot import name 'tasks_v2' from '' (unknown location) in Python fastapi
            Asked 2022-Feb-09 at 17:35

            I'm trying to incorporate google-cloud-tasks Python client within my fastapi app. But it's giving me an import error like this:



            Answered 2022-Feb-09 at 17:35

            After doing some more research online I realized that installation of some packages is missed due to some existing packages. This issue helped me realize I need to reorder the position of google-cloud-tasks in my requirements.txt. So what I did was pretty simple, created a new virtualenv installed google-cloud-tasks as my first package and then installed everything else and finally the problem is solved.

            Long story short the issue is the order in which packages are installed and that's why some packages are getting missed.



            How to install local package with conda
            Asked 2022-Feb-05 at 04:16

            I have a local python project called jive that I would like to use in an another project. My current method of using jive in other projects is to activate the conda env for the project, then move to my jive directory and use python install. This works fine, and when I use conda list, I see everything installed in the env including jive, with a note that jive was installed using pip.

            But what I really want is to do this with full conda. When I want to use jive in another project, I want to just put jive in that projects environment.yml.

            So I did the following:

            1. write a simple meta.yaml so I could use conda-build to build jive locally
            2. build jive with conda build .
            3. I looked at the tarball that was produced and it does indeed contain the jive source as expected
            4. In my other project, add jive to the dependencies in environment.yml, and add 'local' to the list of channels.
            5. create a conda env using that environment.yml.

            When I activate the environment and use conda list, it lists all the dependencies including jive, as desired. But when I open python interpreter, I cannot import jive, it says there is no such package. (If use python install, I can import it.) How can I fix the build/install so that this works?

            Here is the meta.yaml, which lives in the jive project top level directory:



            Answered 2022-Feb-05 at 04:16

            The immediate error is that the build is generating a Python 3.10 version, but when testing Conda doesn't recognize any constraint on the Python version, and creates a Python 3.9 environment.

            I think the main issue is that python >=3.5 is only a valid constraint when doing noarch builds, which this is not. That is, once a package builds with a given Python version, the version must be constrained to exactly that version (up through minor). So, in this case, the package is built with Python 3.10, but it reports in its metadata that it is compatible with all versions of Python 3.5+, which simply isn't true because Conda Python packages install the modules into Python-version-specific site-packages (e.g., lib/python-3.10/site-packages/jive).

            Typically, Python versions are controlled by either the --python argument given to conda-build or a matrix supplied by the conda_build_config.yaml file (see documentation on "Build variants").

            Try adjusting the meta.yaml to something like



            Ansible win_updates won't work on Debian 11 /("msg": "winrm put_file failed; \nstdout: Active code page: 1252\r)
            Asked 2022-Jan-21 at 14:02

            I am fairly new to Ansible and have now started automating some repetitive Windows administration tasks.

            As a controller I use a Debian 11 VM where I have only Ansible and pywinrm installed. My test target is a Windows Server 2016 and everything works fine, I can install programs, create users or copy files. The only thing that does not work is the module "win_updates".

            I get the following message back when I call win_updates.



            Answered 2022-Jan-21 at 14:02

            Adding the suitable env vars solved my problem.



            Do I need to downgrade my conda version in order to install a module?
            Asked 2022-Jan-18 at 22:43

            I install new modules via the following command in my miniconda



            Answered 2022-Jan-06 at 20:11

            Consider creating a separate environment, e.g.,



            Dockerize Flask: Error: While importing 'app', an ImportError was raised
            Asked 2022-Jan-10 at 17:09

            I am trying to dockerize my Flask API. As soon as I try to start my image I receive the message:



            Answered 2021-Nov-02 at 20:53

            Your issue is, I think, with your requirements file. In that you include bson as a dependency, which is also included in the pymongo library. See this question. Removing it seems to solve the issue:



            Google app engine deployment fails- Error while finding module specification for 'pip' (AttributeError: module '__main__' has no attribute '__file__')
            Asked 2022-Jan-08 at 22:02

            We are using command prompt c:\gcloud app deploy app.yaml, but get the following error:



            Answered 2022-Jan-06 at 09:24

            Your setuptools version is likely to be yanked:


            Not sure how to fix that without a working pip though.



            Successful build of Heroku Python App but execution is unsuccessful and open app throws error
            Asked 2022-Jan-03 at 16:25

            I recently successfully deployed a Heroku app(view log below for details), but when I try to access my app through a browser, it returns with An error occurred in the application and your page could not be served. If you are the application owner, check your logs for details. You can do this from the Heroku CLI with the command heroku logs --tail. Furthermore, my app was for a Discord.Py bot, and the bot was not online like it should be.




            Answered 2022-Jan-03 at 16:25

            Your application is a worker (Procfile declares types -> worker) so it does respond to HTTP requests.

            Change to web and make sure you bind the PORT provided by Heroku.

            BTW BOTs can run as workers (without dealing with incoming requests) if they poll the server for messages/updates. This is a viable option too (keep it as worker) but ensure the BOT logs what it does at startup.


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


            No vulnerabilities reported

            Install markupsafe

            You can install using 'pip install markupsafe' or download it from GitHub, PyPI.
            You can use markupsafe 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.


            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 .
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            pip install MarkupSafe

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            gh repo clone pallets/markupsafe

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