datalogger | system to store and analyze timeseries data

by gunny26 Python Version: Current License: Apache-2.0

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

kandi X-RAY | datalogger Summary

datalogger is a Python library. datalogger 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.

system to store and analyze timeseries data in a huge manner. no dependency to any type of database, all stored on local or remote filesystem accessible through python module, or RestFul Web API.

Support

Quality

Security

License

Reuse

Support

datalogger has a low active ecosystem.

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

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of datalogger is current.

Quality

datalogger has no bugs reported.

Security

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

License

datalogger is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

datalogger 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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datalogger Key Features

No Key Features are available at this moment for datalogger.

datalogger Examples and Code Snippets

No Code Snippets are available at this moment for datalogger.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install datalogger

You can download it from GitHub.
You can use datalogger 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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