klepto | persistent caching to memory , disk , or database

by uqfoundation Python Version: 0.2.5 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | klepto Summary

klepto is a Python library. klepto has no bugs, it has no vulnerabilities, it has build file available and it has high support. However klepto has a Non-SPDX License. You can install using 'pip install klepto' or download it from GitHub, PyPI.

persistent caching to memory, disk, or database

Support

Quality

Security

License

Reuse

Support

klepto has a highly active ecosystem.

It has 242 star(s) with 27 fork(s). There are 15 watchers for this library.

There were 1 major release(s) in the last 12 months.

There are 39 open issues and 68 have been closed. On average issues are closed in 492 days. There are no pull requests.

It has a positive sentiment in the developer community.

The latest version of klepto is 0.2.5

Quality

klepto has 0 bugs and 0 code smells.

Security

klepto has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

klepto code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

klepto has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

klepto releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

klepto saves you 3058 person hours of effort in developing the same functionality from scratch.

It has 6602 lines of code, 752 functions and 33 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed klepto and discovered the below as its top functions. This is intended to give you an instant insight into klepto implemented functionality, and help decide if they suit your requirements.

Return the README as a rst file
Write data to zfile
Closes the file
Convert string to bytes
Lookup a key in the dictionary
Get key from root
Return a dict of keys
Create a shallow round function
Test if x is iterable
Update the model with the given dictionary
Return a copy of the current state
List of supported algorithms
Get the license text
Create a DataArchive from a null archive
Create a directory from a directory archive
Write info file
Load a sqltable archive from a dataframe
Create a dataframe from a dict archive
Create a DataFrame from a SQL archive
Open the archive
Convert a string to bytes
Update the contents of a dictionary
Deep round function
Remove keys from the dict
Read the unpickler
Synchronize the archive
Remove keys from the dict

Get all kandi verified functions for this library.

klepto Key Features

No Key Features are available at this moment for klepto.

klepto Examples and Code Snippets

No Code Snippets are available at this moment for klepto.

Community Discussions

Trending Discussions on klepto

How to set a table name using klepto sqltable_archive in Python 3?

QUESTION

How to set a table name using klepto sqltable_archive in Python 3?

Asked 2021-Feb-28 at 20:17

Based on the klepto docs

Using:

...

ANSWER

Answered 2021-Feb-28 at 18:38

I'm the klepto author. Sorry the docs are not clear there. If you look at the line above (i.e. line 158), you'll see that the table name is set with the keyword name... which then gets split into the db name and the table name. I guess I could throw a better error when table is given as a keyword argument.

Source https://stackoverflow.com/questions/66404569

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

Vulnerabilities

No vulnerabilities reported

Install klepto

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

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