auth-source-pass VS PASS

Compare auth-source-pass vs PASS and see what are their differences.

auth-source-pass

Integrate Emacs' auth-source with password-store (by DamienCassou)

PASS

The PASS dataset: pretrained models and how to get the data (by yukimasano)
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auth-source-pass PASS
3 4
96 257
- -
3.9 0.0
almost 3 years ago almost 2 years ago
Emacs Lisp Python
GNU General Public License v3.0 only MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

auth-source-pass

Posts with mentions or reviews of auth-source-pass. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-01.

PASS

Posts with mentions or reviews of PASS. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing auth-source-pass and PASS you can also consider the following projects:

pass-import - A pass extension for importing data from most existing password managers

unsupervised-depth-completion-visual-inertial-odometry - Tensorflow and PyTorch implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)

pass - A major mode for password-store

Revisiting-Contrastive-SSL - Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

centaur-tabs - Emacs plugin aiming to become an aesthetic, modern looking tabs plugin

self-supervised - Whitening for Self-Supervised Representation Learning | Official repository

emacs-dashboard - An extensible emacs dashboard

pytorch-metric-learning - The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

doom-modeline - A fancy and fast mode-line inspired by minimalism design.

Unsupervised-Semantic-Segmentation - Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]