Displaying 1 to 20 from 21 results

spotify-downloader - Download Spotify playlists with albumart and meta-tags

  •    Python

Downloads songs from YouTube in an MP3 format by using Spotify's HTTP link. Can also download a song by entering its artist and song name (in case if you don't have the Spotify's HTTP link for some song).

Medusa - Automatic Video Library Manager for TV Shows

  •    Python

Before using this with your existing database (sickbeard.db) please make a backup copy of it and delete any other database files such as cache.db and failed.db if present We HIGHLY recommend starting out with no database files at all to make this a fresh start but the choice is at your own risk. A full list can be found here. Jackett is supported, however it must be configured as follows.

SeqBox - A single file container/archive that can be reconstructed even after total loss of file system structures

  •    Python

An SBX container exists both as a normal file in a mounted file system, and as a collection of recognizable blocks at a lower level.SBX blocks have a size sub-multiple/equal to that of a sector, so they can survive any level of fragmentation. Each block have a minimal header that include a unique file identifier, block sequence number, checksum, version. Additional, non critical info/metadata are contained in block 0 (like name, file size, crypto-hash, other attributes, etc.).

diskover - File system crawler, disk space usage, file search engine and file system analytics powered by Elasticsearch

  •    Python

diskover is an open source file system crawler and disk space usage software that uses Elasticsearch to index and manage data across heterogeneous storage systems. Using diskover, you are able to more effectively search and organize files and system administrators are able to manage storage infrastructure, efficiently provision storage, monitor and report on storage use, and effectively make decisions about new infrastructure purchases. As the amount of file data generated by business' continues to expand, the stress on expensive storage infrastructure, users and system administrators, and IT budgets continues to grow.




BlockHashLoc - Recover files using lists of blocks hashes, bypassing the File System entirely

  •    Python

The purpose of BlockHashLoc is to enable the recovery of files after total loss of File System structures, or without even knowing what FS was used in the first place.The way it can recover a given file is by keeping a (small) parallel BHL file with a list of crypto-hashes of all the blocks (of selectable size) that compose it. So it's then possible to read blocks from a disk image/volume, calculate their hashes, compare them with the saved ones and rebuild the original file.

hermes - Collection of Metadata Utilities to read/write data to different format.

  •    Python

Collection of Utilities to Read/Write a Dataset's Metadata. Allows users to easily create and modify the metadata from the feature class. The data will be returned as a dictionary object for easy of use. This means users can modify values and push them back into the metadata by referencing the key names. Metadata is the way users describe their data. XML is hard, but this tool converts the XML to a Python dictionary. This means metadata is easy to modify, change and add.

discogstagger - Console based audio-file metadata tagger that uses the Discogs

  •    Python

discogstagger is a console based audio meta-data tagger for FLAC, Ogg and MP3 audio files. Album, artist and track data profile is retrieved via the discogs.com API and then saved to the related metadata fields in the audio container. To tag an album, provide the script with a target directory name (-s), that contains an album consisting of supported media files as well as the discogs.com release-id (-r). discogstagger calls out to the discogs.com API and updates the audio meta-data accordingly.

A-Recsys - A Tensorflow based implicit recommender system

  •    Python

A-RecSys implements a set of implicit recommendation algorithms and is designed to be used in large scale recommendation settings. It extends traditional matrix factorization algorithms and focuses on attribute embedding and applying sequence models.


siskin - Tasks around metadata.

  •    Python

Various tasks for heterogeneous metadata handling for Project finc. Based on luigi from Spotify. Currently, Python 2 and 3 support is on the way and the installation might be a bit flaky.

scif - scientific filesystem: a filesystem organization for scientific software and metadata

  •    Python

This module will provide tools for generating and interacting with scientific filesystems, optimized for use on a host or inside a container. This code is licensed under the Affero GPL, version 3.0 or later LICENSE.

DicoGIS - Automatic creation of a dictionary of geographic data

  •    Python

Automatize the creation of a dictionnary of geographic data in a folders structure. The output dictionary is an Excel file (.xls). Available in 3 languages (English, French and Spanish) but you can add your own translations (in locale folder).

fort-pymdwizard

  •    Python

The MetadataWizard is a useful tool designed to facilitate FGDC metadata creation for spatial and non-spatial data sets. It is a cross-platform desktop application built using an open-source Python architecture. It provides a pleasant and highly efficient environment for metadata creation, editing, preview, and validation. Built in tools automate and facilitate the creation of high quality metadata records.

habanero - low level client for Crossref search API

  •    Python

This is a low level client for working with Crossref's search API. It's been named to be more generic, as other organizations are/will adopt Crossref's search API, making it possible to interact with all from one client.

timber-python - :evergreen_tree: Great Python logging made easy.

  •    Python

Timber for Python is a logging handler that sends your log statements to Timber, making them easier to search, use, and read. In particular, timber makes it easier to add metadata and context to your log statements. Interested in learning more? Check out our docs.

gutenberg-metadata - Metadata from Project Gutenberg

  •    Python

Metadata from 57,601 Project Gutenberg ebooks. Grab the data from gutenberg-metadata.json.

SHARE - SHARE is building a free, open, data set about research and scholarly activities across their life cycle

  •    Python

SHARE is creating a free, open dataset of research (meta)data. We'll be expanding this section in the near future, but, beyond using our API for your own purposes, harvesters are a great way to get started. You can find a few that we have in our list here.

Telemeta - Collaborative media asset management system for musicology

  •    Python

Telemeta is a free and open source collaborative multimedia asset management system (MAM) which introduces fast and secure methods to archive, backup, transcode, analyse, annotate and publish any digitalized video or audio file with extensive metadata. It is dedicated to collaborative media archiving projects, research laboratories and digital humanities - especially in ethno-musicological use cases - who need to easily organize and publish documented sound collections of audio files, CDs, digitalized vinyls and magnetic tapes over a strong database, through a smart and secure platform, in accordance with open web standards. Telemeta has been developed since 2006 and is based exclusively on 100% open source modules.

pytest-metadata - Plugin for accessing test session metadata

  •    Python

pytest-metadata is a plugin for pytest that provides access to test session metadata. When run in a continuous integration environment, additional metadata is added from environment variables. Below is a list of the supported continuous integration providers, along with links to the environment variables that are added to metadata if they're present.

ckanext-extractor - A full text and metadata extractor for CKAN

  •    Python

A CKAN extension for automatically extracting text and metadata from datasets. ckanext-extractor automatically extracts text and metadata from your resources and adds them to the search index so that they can be used to find your data.