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deadsimpledb | Dead Simple Database is a keyvalue database focused

 by   bkusenda Python Version: Current License: MIT

 by   bkusenda Python Version: Current License: MIT

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kandi X-RAY | deadsimpledb Summary

deadsimpledb is a Python library. deadsimpledb has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
Dead Simple Database is a key-value database focused on storing data to the file system in a standard readable format (eg JSON, pickle, jpg, png, etc). It's more appopriate to describe describe it as a simplified interface to the filesystem. This library may be useful for those who want to read the data directly from the file system without the need for an intermediate data access layer/library.
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Support
Quality
Quality
Security
Security
License
License
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kandi-support Support

  • deadsimpledb has a low active ecosystem.
  • It has 1 star(s) with 0 fork(s). There are 1 watchers for this library.
  • It had no major release in the last 12 months.
  • deadsimpledb has no issues reported. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of deadsimpledb is current.
deadsimpledb Support
Best in #Python
Average in #Python
deadsimpledb Support
Best in #Python
Average in #Python

quality kandi Quality

  • deadsimpledb has no bugs reported.
deadsimpledb Quality
Best in #Python
Average in #Python
deadsimpledb Quality
Best in #Python
Average in #Python

securitySecurity

  • deadsimpledb has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
deadsimpledb Security
Best in #Python
Average in #Python
deadsimpledb Security
Best in #Python
Average in #Python

license License

  • deadsimpledb is licensed under the MIT License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
deadsimpledb License
Best in #Python
Average in #Python
deadsimpledb License
Best in #Python
Average in #Python

buildReuse

  • deadsimpledb releases are not available. You will need to build from source code and install.
  • Build file is available. You can build the component from source.
  • Installation instructions are not available. Examples and code snippets are available.
deadsimpledb Reuse
Best in #Python
Average in #Python
deadsimpledb Reuse
Best in #Python
Average in #Python
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deadsimpledb Key Features

Fast writes, file writing is performed asynchronously

Stores entries in standard/native formats (json,pickle)

Small code base and pure python - just one python file

Light weight (easily add different file systems or serialization formats)

Schemaless

Installation

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pip install git+https://github.com/bkusenda/deadsimpledb

Usage

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# Create database object
db = DeadSimpleDB(root_path="ddb")

# Add some dictionary data and use json (default storage type)
db.save(('entity',1),value={'value':1000})
db.save(('entity',2),value={'value':"Hello"})
db.save(('entity',3),value={'value':"World"},clear_cache=True)

# Add a numpy entry and store in pickel format
db.save(('stats',1),value=np.random.rand(3,3), stype='pkl')

# Save Entries to Disk
db.flush_all()

# retrieve an entry
stored_value = db.get(('entity',1))

Community Discussions

No Community Discussions are available at this moment for deadsimpledb.Refer to stack overflow page for discussions.

No Community Discussions are available at this moment for deadsimpledb.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install deadsimpledb

You can download it from GitHub.
You can use deadsimpledb 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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