h2o_db_benchmark | H2O db benchmark for key backends

by intel-ai Python Version: Current License: MPL-2.0

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

kandi X-RAY | h2o_db_benchmark Summary

h2o_db_benchmark is a Python library. h2o_db_benchmark has no bugs, it has no vulnerabilities, it has build file available, it has a Weak Copyleft License and it has low support. You can download it from GitHub.

Repository with our reproduction of H2O db benchmark for key backends, including modin.

Support

Quality

Security

License

Reuse

Support

h2o_db_benchmark has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

h2o_db_benchmark has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of h2o_db_benchmark is current.

Quality

h2o_db_benchmark has no bugs reported.

Security

h2o_db_benchmark has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

h2o_db_benchmark is licensed under the MPL-2.0 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

h2o_db_benchmark 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.

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h2o_db_benchmark Key Features

No Key Features are available at this moment for h2o_db_benchmark.

h2o_db_benchmark Examples and Code Snippets

No Code Snippets are available at this moment for h2o_db_benchmark.

Community Discussions

No Community Discussions are available at this moment for h2o_db_benchmark.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install h2o_db_benchmark

You can download it from GitHub.
You can use h2o_db_benchmark 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.