mimesis | robust data generator for Python | Mock library
kandi X-RAY | mimesis Summary
kandi X-RAY | mimesis Summary
mimesis is a Python library typically used in Testing, Mock applications. mimesis has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. However mimesis build file is not available. You can install using 'pip install mimesis' or download it from GitHub, PyPI.
Mimesis is a robust data generator for Python, capable of rapidly producing large volumes of synthetic data for various use cases.
Mimesis is a robust data generator for Python, capable of rapidly producing large volumes of synthetic data for various use cases.
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Quality
Security
License
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Support
mimesis has a medium active ecosystem.
It has 3982 star(s) with 311 fork(s). There are 61 watchers for this library.
There were 1 major release(s) in the last 6 months.
There are 6 open issues and 309 have been closed. On average issues are closed in 206 days. There are 2 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of mimesis is 17.0.0
Quality
mimesis has 0 bugs and 0 code smells.
Security
mimesis has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
mimesis code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
mimesis is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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mimesis releases are available to install and integrate.
Deployable package is available in PyPI.
mimesis has no build file. You will be need to create the build yourself to build the component from source.
mimesis saves you 6603 person hours of effort in developing the same functionality from scratch.
It has 37839 lines of code, 911 functions and 113 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed mimesis and discovered the below as its top functions. This is intended to give you an instant insight into mimesis implemented functionality, and help decide if they suit your requirements.
- Generate a random address
- Generate a random street name
- Generate a random street number
- Return the value of the given keys
- Generate a random title
- Validate enum
- Return a random item from enum
- Reseed the generator
- Return a list of attributes
- Romanize a string
- Validate locale
- Return the audio as a bytes object
- Returns a Federal Subject
- Returns a prefecture state
- Returns a province name
- Title
- Generate random manufacturer
- Generate a random random manufacturer
- Returns compressed file contents
- Return the PNG image
- Read a PDF document
- Reseed generator
- Generate a random patronymic
- Format a datetime object
- Run minify
- Returns a string representation of the current state
Get all kandi verified functions for this library.
mimesis Key Features
No Key Features are available at this moment for mimesis.
mimesis Examples and Code Snippets
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# your_module/__init__.py
def validate_email(email):
# code that validates an e-mail address
return True
# tests/test_email.py
from your_module import validate_email
def test_validate_email(mimesis):
assert validate_email(mimesis('ema
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$ mimesis record hello_world
$ # Interact with terminal...
$ exit
$ mimesis publish
Recording published:
https://gist.github.com/XXXX
$ mimesis download https://gist.github.com/XXXX demo
Recording downloaded:
Mimesis Recording
Title: hello_world
$ m
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_ __ _ _
| | ___ __ _ ___ / _| | | ___ __ _ _ __ _ __ (_) _ __ __ _
| | / _ \ / _` | _____ / _ \ | |_ _____ | | / _ \ / _` || '__|| '_ \ |
Copy
df1 = pd.DataFrame({'Profile_Url':[string + "/" + c.token_urlsafe() for i in range(10000)]})
Community Discussions
Trending Discussions on mimesis
QUESTION
How to create 10k records in a pandas dataframe?
Asked 2020-May-14 at 12:24
I have created a dataframe in pandas but there is only 1 value stored in it. Is there a way in Pandas to fill the dataframe with 10k records? Here's the dataframe that I've created.
...ANSWER
Answered 2020-May-14 at 12:24Use list
comprehension for generate 10000
different links in list comprehension:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install mimesis
You can install using 'pip install mimesis' or download it from GitHub, PyPI.
You can use mimesis 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.
You can use mimesis 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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