Coding With Fun
Home Docker Django Node.js Articles Python pip guide FAQ Policy
 

How to install TinyLogAnalyzer via python pip




TinyLogAnalyzer - Command line utility for perform response time analysis onto HTTP access logs, it belongs to Classifiers:

- Intended Audience :: System Administrators
- License :: OSI Approved :: GNU General Public License (GPL)
- Topic :: Internet :: Log Analysis
- Topic :: Internet :: WWW/HTTP
- Topic :: Utilities

When you know about this project and you want to new install TinyLogAnalyzer to support your project or you get trouble as ModuleNotFoundError: No module named "TinyLogAnalyzer" or ImportError: cannot import name "TinyLogAnalyzer" in your project, let follow this tutorial to install TinyLogAnalyzer



Installation:

Step 1: First, ensure you installed pip in your os, to check pip has been installed on your computer

In Windows (CMD):

py -m pip --version

In Unix/macOS:

python3 -m pip --version

Ensure pip, setuptools, and wheel are up to date:

In Windows (CMD):

py -m pip install --upgrade pip setuptools wheel

In Unix/macOS:

python3 -m pip install --upgrade pip setuptools wheel


Optional - If you want to install in virtual environment:

In Windows (CMD):

- Install virtualenv - if you installed it, please ignore

py -m pip install --user virtualenv

- Create a virtual environment

py -m venv test_TinyLogAnalyzer_env

- Active the virtual environment

test_TinyLogAnalyzer_env\Scripts\active

In Unix/macOS:

- Install virtualenv - if you installed it, please ignore

pip3 install virtualenv

- Create a virtual environment

python3 -m venv test_TinyLogAnalyzer_env

- Active the virtual environment

source test_TinyLogAnalyzer_env/bin/active


Step 2: OK, now, let flow below content to start the installation TinyLogAnalyzer

To install TinyLogAnalyzer on Windows(CMD):

py -m pip install TinyLogAnalyzer

To install TinyLogAnalyzer on Unix/macOs:

pip install TinyLogAnalyzer


Step 3: If you want to install a specific TinyLogAnalyzer version, add ==<TinyLogAnalyzer version> to the end command line

Example:

pip install TinyLogAnalyzer==0.1.0


Please see the version list below table:

VersionReleased dateCommand
TinyLogAnalyzer 0.4.02011-10-04T21:27:39Windows:

py -m pip install TinyLogAnalyzer==0.4.0

Unix/macOs:

pip install TinyLogAnalyzer==0.4.0

TinyLogAnalyzer 0.3.02011-06-23T09:54:54Windows:

py -m pip install TinyLogAnalyzer==0.3.0

Unix/macOs:

pip install TinyLogAnalyzer==0.3.0

TinyLogAnalyzer 0.2.22011-05-02T13:34:54Windows:

py -m pip install TinyLogAnalyzer==0.2.2

Unix/macOs:

pip install TinyLogAnalyzer==0.2.2

TinyLogAnalyzer 0.2.12011-04-29T13:52:21Windows:

py -m pip install TinyLogAnalyzer==0.2.1

Unix/macOs:

pip install TinyLogAnalyzer==0.2.1

TinyLogAnalyzer 0.2.02011-04-28T15:42:09Windows:

py -m pip install TinyLogAnalyzer==0.2.0

Unix/macOs:

pip install TinyLogAnalyzer==0.2.0

TinyLogAnalyzer 0.1.02011-04-27T18:58:50Windows:

py -m pip install TinyLogAnalyzer==0.1.0

Unix/macOs:

pip install TinyLogAnalyzer==0.1.0


Step 4: Otherwise, you can install TinyLogAnalyzer from local archives:

Download the distribution file from TinyLogAnalyzer-0.4.0.tar.gz or the specific TinyLogAnalyzer version in the below list of distribution

After that, install by command:

On Windows(CMD):

py -m pip install <path_to_TinyLogAnalyzer_downloaded_file>

On Unix/macOs:

pip install <path_to_TinyLogAnalyzer_downloaded_file>


List distribution:


Project link:

- Homepage