lite_tracer | a light weight experiment reproducibility toolset

by BorealisAI Python Version: Current License: Non-SPDX

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

kandi X-RAY | lite_tracer Summary

lite_tracer is a Python library. lite_tracer has no vulnerabilities, it has build file available and it has low support. However lite_tracer has 1 bugs and it has a Non-SPDX License. You can download it from GitHub.

LiteTracer acts as a drop-in replacement for argparse, and it can generate unique identifiers for experiments in addition to what argparse already does. Along with a reverse lookup tool, LiteTracer can trace-back the state of a project that generated any result tagged by the identifier. The identifiers are unique based on the combination of four factors:. As the name suggests, LiteTracer is designed to be as lightweight as possible. It is a minimalistic toolset and convention to enable reproducible experimental research, rather than a framework that one has to learn about.

Support

Quality

Security

License

Reuse

Support

lite_tracer has a low active ecosystem.

It has 36 star(s) with 4 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 4 have been closed. On average issues are closed in 14 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of lite_tracer is current.

Quality

lite_tracer has 1 bugs (0 blocker, 0 critical, 1 major, 0 minor) and 45 code smells.

Security

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

lite_tracer code analysis shows 0 unresolved vulnerabilities.

There are 3 security hotspots that need review.

License

lite_tracer 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

lite_tracer 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.

lite_tracer saves you 415 person hours of effort in developing the same functionality from scratch.

It has 985 lines of code, 73 functions and 11 files.

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

Top functions reviewed by kandi - BETA

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

Given a list of parameters return a dictionary of parameter values
Parse command line arguments
Return a formatted command string
Convert arguments parsed into a string
Compute the md5 hash of the given arguments
Returns a list of matching parameters that match the search parameters
Determine if a pattern matches a pattern
Return True if value is a numeric
Add an argument to the parser
Format the result
Extract key and value pairs from a string
Clean up params
Add parameters to the configuration

Get all kandi verified functions for this library.

lite_tracer Key Features

No Key Features are available at this moment for lite_tracer.

lite_tracer Examples and Code Snippets

No Code Snippets are available at this moment for lite_tracer.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install lite_tracer

You can download it from GitHub.
You can use lite_tracer 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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