This library provides a modern project skeleton generator. In contract with other generators, CL-Project generates one package per file and encourages unit testing by generating a system for unit testing, so you can begin writing unit tests as soon as the project is generated.

ProjLib is a collection of tools to help you write LaTeX documents. With the main package ProjLib loaded, you no longer need to set up the theorem-like environments, nor to manually configure the appropriate multilingual settings. In addition, a series of auxiliary functionalities are introduced.

Documentation at https://melpa.org/#/projection

Documentation at https://melpa.org/#/projectile

Project-rg (project-rg.el) allow run ripgrep with Project (project.el).

A curated selection of 9,795 ProjectM/Milkdrop presets, meant to be included in any projectM-based application.

This library provides easy project management and navigation. The concept of a project is pretty basic: just a folder containing special file. Currently Git, Mercurial and Bazaar repositories are considered projects by default. If you want to mark a folder manually as a project just create an empty .projectile file in it.

Combines information from two independent surveys using a model-assisted projection method. Designed for survey sampling scenarios where a large sample collects only auxiliary information (Survey 1) and a smaller sample provides data on both variables of interest and auxiliary variables (Survey 2). Implements a working model to generate synthetic values of the variable of interest by fitting the model to Survey 2 data and predicting values for Survey 1 based on its auxiliary variables (Kim & Rao, 2012) <doi:10.1093/biomet/asr063>.

This package provides functions to automatically build a directory structure for a new R project. Using this structure, ProjectTemplate automates data loading, preprocessing, library importing and unit testing.

Documentation at https://melpa.org/#/helm-project

Documentation at https://melpa.org/#/term-project

Documentation at https://melpa.org/#/go-projectile

Documentation at https://melpa.org/#/conda-project

Documentation at https://melpa.org/#/xcode-project

Documentation at https://melpa.org/#/project-cmake

Documentation at https://melpa.org/#/list-projects

Documentation at https://melpa.org/#/multi-project

Documentation at https://melpa.org/#/project-rails

Documentation at https://melpa.org/#/project-tasks

Documentation at https://melpa.org/#/projmake-mode

Documentation at https://melpa.org/#/cmake-project

Management problems of deterministic and stochastic projects. It obtains the duration of a project and the appropriate slack for each activity in a deterministic context. In addition it obtains a schedule of activities time (Castro, Gómez & Tejada (2007) <doi:10.1016/j.orl.2007.01.003>). It also allows the management of resources. When the project is done, and the actual duration for each activity is known, then it can know how long the project is delayed and make a fair delivery of the delay between each activity (Bergantiños, Valencia-Toledo & Vidal-Puga (2018) <doi:10.1016/j.dam.2017.08.012>). In a stochastic context it can estimate the average duration of the project and plot the density of this duration, as well as, the density of the early and last times of the chosen activities. As in the deterministic case, it can make a distribution of the delay generated by observing the project already carried out.

Documentation at https://melpa.org/#/project-butler

Documentation at https://melpa.org/#/project-abbrev