FELICITY LIMS

A next generation open source laboratory information management system for clinical/medical laboratories.

Descritpion

The Felicity LIMS project aims to create a Laboratory Information Management System (LIMS) that tracks the complete laboratory workflow providing all the functionalities of a Laboratory Information Management System.

Felicity strives to promote an accurate flow of sample and associated experimental data to and through a laboratory to produce information that is used to make conclusions and critical decisions.

Felicity LIMS will ensure that sufficient metadata is captured and clinical laboratory personnel can track the lifecycle of a biospecimen in the laboratory from receipt to dispacth.

Felicity Backend is developed in Python using the FastAPI framework and strawberry GraphQL. Felicity FrontEnd is developed in VueJs, URQL, and Tailwind CSS.

Felicity is the quality of being good, pleasant, or desirable.

Main Features

Sample status tracking
Flexible batched sample workflow
Quality control
Reporting
Highly customizable and extensible
Micro kanban Project management
Experimental Markdown Document manager

Installation

Direct

Backend Installation

using poetry

using anaconda

Fist install Miniconda Create feicity enviroment using conda

$ conda create -n felicity python=3.9
$ git clone https://github.com/aurthurm/felicity.git
$ cd felicity
$ conda activate felicity
$ cd backend/felicity_lims
$ pip install -r requirements.txt
$ bash elicity.sh &

Frontend Installation

Docker

This method uses Docker and docker-compose which handles the details of installing dependencies for you. On your Linux command line, run:

$ git clone https://github.com/aurthurm/felicity.git
$ cd felicity
$ docker-compose up -d

Contact

Email me directly at aurthurmusendame@gmail.com
Me on facebook
Me on Linked In
Whatsapp Me or call on +263776406399
Me on Telegram

2.3 KiB Raw Blame History