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recoll-macos

Recoll is a desktop full-text search tool.

https://github.com/alberti42/recoll-macos

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
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    Academic publication links
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    Academic email domains
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    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (11.1%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Recoll is a desktop full-text search tool.

Basic Info
  • Host: GitHub
  • Owner: alberti42
  • Language: C++
  • Default Branch: master
  • Size: 75.4 MB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 2 years ago · Last pushed over 1 year ago
Metadata Files
Readme Citation

README.md

Recoll

This is a fork from of recoll from https://framagit.org/medoc92/recoll.

  • Implements real-time indexing for macOS systems. Before, real-time indexing was reserved to Linux and Windows. The implementation for mac works very efficiently and makes use of native fsevents framework.
  • Improve several scripts for parsing documents including rclpdf for pdf documents, which used to crash due to some wrong handling of threads
  • Include rclmd.py handler for parsing MarkDown files; it parses the YAML frontmatter used in Obsidian.

Recoll is a desktop full-text search tool. It finds keywords inside documents as well as file names.

  • Versions are available for Linux and MS Windows.
  • A WEB front-end with preview and download features can replace or supplement the GUI for remote use.
  • It can search most document formats. You may need external applications for text extraction.
  • It can reach any storage place: files, archive members, email attachments, transparently handling decompression.
  • One click will open the document inside a native editor or display an even quicker text preview.
  • The software is free, open source, and licensed under the GPL.

For more detail, see the features page on the web site or the online documentation.

Most distributions feature prebuilt packages for Recoll, but if you need them, the instructions for building and installing are here.

Owner

  • Name: Andrea Alberti
  • Login: alberti42
  • Kind: user
  • Location: Munich

Quantum physicists

Citation (CITATION.cff) 

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: Recoll
message: Full-text search for your desktop
type: software
authors:
  - given-names: Jean-Francois
    family-names: Dockes
    email: jf@dockes.org
repository-code: 'https://framagit.org/medoc92/recoll'
url: 'https://www.recoll.org'
abstract: >+
  Recoll finds documents based on their contents as well as
  their file names.  Versions are available for Linux, MS
  Windows and MacOS. It can search most document formats.
  You may need external applications for text extraction. 
  It can reach most local storage places: files, archive
  members, email attachments, transparently handling
  decompression. A WEB front-end with preview and download
  features can replace or supplement the GUI for remote use.

keywords:
  - document search
license: GPL-2.0-or-later

GitHub Events

Total
  • Push event: 2
Last Year
  • Push event: 2

Dependencies

src/python/recoll/setup.py pypi