Saravanan666/pypi-org huggingface dataset:
Package: lynx
lynx====Simple python configuration library and format. The format is very similar to YAML with the enhancment of sections.##InstallationInstall the ``lynx`` package with [pip](<https://pypi.python.org/pypi/lynx>):pip install lynx##Example useConfiguration example:```# section examplesection {# fieldsfield1: myfield1 valuefield2: Another field value# listsmylist: [5, mystr, value, 8]}# Another sectionsection2 {# sub section examplemy_section {name: lynx}# sections can have same name.my_section {# multiline fieldsLibrary description:|Lynx is a pythonConfiguration librarysupporting many featuresincluding multiline fields!$%$!%#@Yay!myfloat: 5.3}}```Load the configuration:```>>> import lynx# Load file>>> with open("config.conf", "r") as fp:...     config = lynx.load(fp)# Get the first section>>> config[0].name()'section'>>> config[0].fields(){'field2': 'Another field value', 'field1': 'myfield1 value', 'mylist': [5, 'mystr', 'value', 8]}# Get sub sections>>> config[1].sub_sections()[<lynx.Section object at 0x7f4ab28dfdd0>, <lynx.Section object at 0x7f4ab28dfe10>]>>> config[1].sub_sections()[0].name()'my_section'```## FeaturesFeatures include:* Sections* Sub sections* Lists* Multiline fields* Load & dump* Types:* Strings* Integers* Floats
Package: lynx-flow
Lynx FlowLynx Flow is a streamlined and straightforward API requests library for building method call sequences.
Simplify your code with clear and concise constructs using Lynx Flow.Getting startedInstall lynx-flowpip install lynx-flowImport Lynx class to startfromlynx_flow.lynximportLynxBuild your request in single, clear and readable flowLynx().get().with_url(URL).with_headers(HEADERS).where().json().tobe().equal("The service is up and running")
Package: lynxinven
LynxInven Python InterfacePython library for communication with theLynxInven parts management systemusing the integrated REST API.This library provides a class-based interface for interacting with the database. Each database table is represented as a class object which provides features analogous to the REST CRUD endpoints (Create, Retrieve, Update, Destroy).Installation (Inventory PIP Install)The LynxInven python library can be easily installed using PIP:pip install lynxinven@Eric to test Reload
Package: lyon
Lyon's auditory model for PythonPython port of Lyon's model calculation from Auditory Toolbox.
Original version of Auditory Toolbox is written in C and MATLAB by Malcolm Slaney.Package contentsModifiedsoscascade.c,agc.candsosfilters.c(removed MEX-related part).ctypeswrapper forsoscascade(),agc()andsosfilters()calls.Translation from MATLAB to Python for files necessary for successfull call toLyonPassiveEar().DependeciesIf you plan to build manually and run tests, you'll needlibcheckinstalled.
On Ubuntu 18.10 run:sudoapt-getinstallcheckInstallationManualBuild a library:makelibThis would result inliblyon.soshared library. Verify that library is properly built by running a test suite:maketestUsageThe following code computes cochleogram for a sample sound:fromlyonimportLyonCalccalc=LyonCalc()waveform,sample_rate=load('audio/file/path.wav')decimation_factor=64coch=calc.lyon_passive_ear(waveform,sample_rate,decimation_factor)print(coch.shape)The code above should output shape of resulting auditory nerve response:[<number of samples / decimation_factor>, 86].Seelyon_examples.pyfor examples on running other functions.LinksAuditoryToolbox pageReport describing function in toolbox
Package: lyra-client
Lyra V2 Python Client.This repo provides a unified interface for the Lyra V2 Exchange.DevFormattingmakefmtLintingmakelintTestsmaketestsFor convience, all commands can be run with;make allReleasesReleasingWe can usetbumpto automatically bump our versions in preparation of a release.new_version=0.1.1
gitcheckout-bv$new_versiongitpush--set-upstreamorigin$(gitrev-parse--abbrev-refHEAD)tbumpnew_versionThe release workflow will then detect that a branch with avprefix exists and create a release from it.Additionally, the package will be published to PyPI.
Package: lyra-graphtool-test
lyra_graphtool_testLyra GraphtoolInstallation$pipinstalllyra_graphtool_testUsageTODOContributingInterested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.Licenselyra_graphtoolwas created by Studio X, LLC. It is licensed under the terms of the Apache License 2.0 license.
Package: lyra-v2-client
Lyra V2 Python Client.This repo provides a unified interface for the Lyra V2 Exchange.Please checkout theexamplesdirectory for usage.Here is a quick demonstration of the cli functionality.Installpipinstalllyra-v2-clientDevFormattingmakefmtLintingmakelintTestsmaketestsFor convience, all commands can be run with:make allReleasingWe can usetbumpto automatically bump our versions in preparation of a release.exportnew_version=0.1.5
tbump$new_versionThe release workflow will then detect that a branch with avprefix exists and create a release from it.Additionally, the package will be published to PyPI.
Package: lyrebird
LyrebirdPYPIpip install lyrebirdDockerHubdocker pull overbridge/lyrebirdDocs简介快速开始环境要求安装启动连接移动设备查看及录制数据使用 Mock 数据Mock 数据管理基本命令感谢简介Lyrebird是一个基于拦截以及模拟 HTTP/HTTPS 网络请求的面向移动应用的插件式测试平台。Lyrebird不只提供 UI 操作，也可以通过 API 控制所有功能。Lyrebird也可作为服务端接口测试 mock 工具使用。Lyrebird可以通过插件扩展能力，实现埋点自动测试、API 覆盖率统计、移动设备及 App 控制和信息记录、自定义检查脚本等一系列功能。Lyrebird (琴鸟) 不但美丽壮观，且能歌善舞。它不但能模仿各种鸟类的鸣叫声，还能学人间的各种声音。如汽车喇叭声、火车喷气声、斧头伐木声、修路碎石机声及领号人的喊叫声等。歌声婉转动听，舞姿轻盈合拍，是澳洲鸟类中最受人喜爱的珍禽之一。快速开始环境要求macOS/WindowsPython >= 3.7# macOS系统中推荐使用Homebrew(https://brew.sh/#install)安装Python3brewinstallpython3Windows 需要的额外步骤：下载并安装编译版 OpenSSL设置系统环境变量（根据实际路径调整）LIB = C:\Program Files\OpenSSL-Win64\libINCLUDE = C:\Program Files\OpenSSL-Win64\include安装# 安装lyrebirdpip3installlyrebird启动lyrebird连接移动设备启动 Lyrebird 后，移动设备需要通过代理的方式将请求数据接入。将移动设备的代理地址设为当前电脑地址，默认端口为 4272（IP 地址可查看 Lyrebird 启动时输出的日志）(注意 ⚠️：4272 端口上使用的 mitmproxy 服务为外置依赖，需要用户自行安装 mitmproxy。如果没有安装 lyrebird 会尝试自动安装该应用)被测设备上用浏览器打开http://mitm.it, 选择对应操作系统安装证书Lyrebird 接入有两种方式:a. 设置代理b. 直连查看及录制数据现在，可以开始操作移动设备了。Lyrebird 将显示捕获到的 HTTP/HTTPS 请求。选中请求后，可以将它保存到已激活的 mock 数据组中。使用 Mock 数据激活 mock 数据选择器，选择 mock 数据后。经过 Lyrebird 的请求会被 mock，如果 mock 数据中没有匹配的数据，则会代理该请求。可以在 DataManager 界面管理 mock 数据。Mock 数据管理mock 数据可由左边导航栏切换到 DataManager 界面进行编辑管理插件文档在建中基本命令lyrebird以缺省参数启动 lyrebirdlyrebird -v以输出详细日志模式启动 lyrebirdlyrebird -b启动 lyrebird 不默认打开浏览器lyrebird --mock 9090 --proxy 4272 --data . --config your/config/file指定参数启动 lyrebird参数：--mock 默认9090 ， mock服务及前端端口

  --proxy 默认4272， 代理服务端口

  --data 默认./data, mock数据根目录

  --config 默认~/.lyrebird/conf.json, lyrebird启动配置感谢本工具中的代理功能使用mitmproxy实现。Contributors
Package: lyrebird-android
Lyrebird - Android pluginLyrebird是一个基于拦截以及模拟HTTP/HTTPS网络请求的面向移动应用的插件化测试平台。Android plugin是一个Lyrebird的插件，用于从Android设备获取信息。快速开始环境要求macOSPython3.7及以上安装AndroidSDK，并设置SDK环境变量 “ANDROID_HOME”安装pip3installlyrebird-android启动lyrebird使用使用时，通过USB线连接手机和电脑即可。连接设备并打开调试模式，左侧会展示出已接入的设备id。点击设备id可查看和操作选定的设备，详细包括：查看设备信息查看应用信息获取系统日志获取屏幕快照安装应用卸载应用清除应用缓存拉起应用关闭应用开发者指南开发环境macOS OR LinuxPython3NodeJSvscode(推荐)Chrome(推荐)配置Lyrebird-android工程# clone 代码gitclonegit@github.com:Meituan-Dianping/lyrebird-android.git# 进入工程目录cdlyrebird-android# 初始化后端开发环境python3-mvenv--clearvenv# 初始化前端开发环境cdfrontend
npminstallcd..# 使用IDE打开工程（推荐vscode）code.调试代码Vscode debug 配置{"version":"0.2.0","configurations":[{"name":"backend","type":"python","request":"launch","module":"lyrebird","console":"integratedTerminal","args":["-vv","--plugin","${workspaceFolder}"]},{"name":"frontend","type":"chrome","request":"launch","url":"http://localhost:8080/ui/static/","webRoot":"${workspaceFolder}/frontend/src/","breakOnLoad":true,"sourceMapPathOverrides":{"webpack:///src/*":"${webRoot}/*"}}]}后端代码激活python虚拟环境通过source venv/bin/activate来激活该环境通过Debug功能启动按照上面 debug配置中 python:Lyrebrid配置启动即可前端代码启动node server# 进入前端目录cdfrontend# 启动前端node servenpmrunserve通过Debug功能启动浏览器按照上面 debug配置中 vuejs: chrome 配置启动即可注意: vscode 需要安装chrome debug插件
Package: lyrebird-api-coverage
Lyrebird Plugin API-Coverage简介API-Coverage是基于Lyrebird的插件，为客户端提供API维度测试覆盖评估方法。客户端的操作可以实时反应在前端页面上，主要有API覆盖率统计、不同优先级的覆盖率展示等。可以参考该数据，判断测试是否已覆盖目标功能。API覆盖率的计算公式：覆盖率 = 已访问API/基准API已访问API：被测应用已发出的请求（只记录当前业务内API）基准API：当前业务所有API环境要求macOSPython3.7及以上安装pip3installlyrebird-api-coverage启动lyrebird界面说明如图所示，不同区域的介绍：工具栏Import Base - 导入需要统计的基准API列表（文件格式见附录Base数据格式）Resume Test - 导入统计结果并继续统计Save Result - 导出统计结果到“~/.lyrebird/plugin/lyrebird_api_coverage/data/”Clear Test - 清空当前的统计结果Filtering Rules - 过滤规则设置（配置格式见附录过滤配置数据格式）覆盖率信息展示覆盖率信息，总体覆盖率信息，分优先级覆盖率信息基准API信息展示当前生效的基准API信息覆盖率详情模块Priority：API的优先级API: URL信息Description：API的描述信息Count：API的请求次数Status：API的状态，包括 已测试，未测试，不在base中的APIDetail：查看请求详情，点击表格最后一列的详情中的Detail，就可以展示最近一次的请求的详情使用流程准备Base数据，Base数据格式见附录点击工具栏中的“Import Base”按钮进行导入Base文件操作过程中观测页面的覆盖率等信息展示开发者指南# clone 代码gitclonehttps://github.com/meituan/lyrebird-api-coverage.git# 进入工程目录cdlyrebird-api-coverage# 创建虚拟环境python3-mvenvvenv# 安装依赖sourcevenv/bin/activate
pip3install-rrequirements.txt# 使用IDE打开工程（推荐Pycharm或vscode）# 在IDE中执行debug.py即可开始调试附录Base数据格式{"business":"app_channel","version_code":1,"version_name":"1.0","api_list":[{"desc":"A接口","priority":3,"url":"meituan.com/test/a"},{"desc":"B接口","priority":2,"url":"meituan.com/test/b?paramKey=val"},{"desc":"C接口","priority":2,"url":"meituan.com/test/c/{num}"},{"desc":"D接口","priority":1,"url":"meituan.com/test/d?sourceType=1"}]}支持两种API，Path 和 Path + query，即不带参数的配置和带参数的配置在配置API时，如果path中带有参数，如 a.b.com/v1/test/{num}，需要用'{}'括起，在覆盖率计算中用来判断是同一API配置参数的情况下，字段名的大小写敏感过滤配置数据格式demo{"exclude":{"host":["a.meituan.com","b.baidu.com"],"regular":[".webp",".gif",".jpg",".png"]}}支持两种筛除规则，以host为维度，以包含字符串为维度如果不想关注某些host下的请求，可以按照上述筛选配置文件的数据格式配置 host字段下的规则如果不想关注某些包含指定字符串的请求（如：.webp），可以按照上述筛选配置文件的数据格式配置 regular字段下的规则字段说明exclude:不关注的配置项host:不关注的hostregular:不关注的字符串（URL只要包含指定的字符串都会筛选掉）
Package: lyrebird-ios
Lyrebird iOS PluginLyrebird是一个基于拦截以及模拟 HTTP/HTTPs 网络请求的面向移动应用的插件化测试平台。iOS plugin 是一个 Lyrebird 的插件，用于从 iOS 设备获取信息，如详细的设备信息、屏幕快照和应用信息。快速开始环境要求macOSPython >= 3.7libimobiledeviceCommand Line Tools for Xcode环境准备本插件依赖于 libimobiledevice 第三方依赖安装源管理工具Homebrew通过 Homebrew 安装libimobiledevicebrewinstall--HEADlibimobiledevice
brewinstallideviceinstaller
brewlink--overwritelibimobiledevice
sudochmod-R777/var/db/lockdown/最终，测试第三方依赖是否正常工作ideviceinfo
idevicescreenshot
ideviceinstaller-l安装pip3installlyrebird-ios启动lyrebird使用使用时，通过 USB 线链接手机和电脑即可。查看已连接设备的详细信息截取 iOS 设备屏幕快照查看已连接设备的应用信息开发者指南开发者环境macOSPython3.7 及以上NodeJSvscode(推荐)Chrome(推荐)配置 Lyrebird-ios 工程# clone 代码gitclonegit@github.com:Meituan-Dianping/lyrebird-ios.git# 进入工程目录cdlyrebird-ios# 初始化后端开发环境python3-mvenv--clearvenv# 初始化前端开发环境cdfrontend
npminstallcd..# 使用IDE打开工程（推荐vscode）code.调试代码Vscode debug 配置{"version":"0.2.0","configurations":[{"name":"backend","type":"python","request":"launch","module":"lyrebird","console":"integratedTerminal","args":["-vv","--plugin","${workspaceFolder}"]},{"name":"frontend","type":"chrome","request":"launch","url":"http://localhost:8080/ui/static/","webRoot":"${workspaceFolder}/frontend/src/","breakOnLoad":true,"sourceMapPathOverrides":{"webpack:///src/*":"${webRoot}/*"}}]}后端代码激活 python 虚拟环境通过source venv/bin/activate激活虚拟环境通过 Debug 功能启动按照上面 debug 配置中 python:Lyrebrid 配置启动即可前端代码启动 node server# 进入前端目录cdfrontend# 启动前端node servenpmrunserve通过 Debug 功能启动浏览器按照上面 debug 配置中 vuejs: chrome 配置启动即可注意: vscode 需要安装 chrome debug 插件build 前端项目# 进入前端目录cdfrontend# build前端npmrunbuild常见问题libimobiledevice 无法使用，终端提示 - "Could not connect to lockdownd ...".按照如下步骤重新安装 libimobiledevice，并留意安装过程中的错误提示。卸载 libimobiledevicebrew uninstall --ignore-dependencies libimobiledevice安装 libimobiledevicebrew install --HEAD libimobiledevice若在安装 libimobiledevice 时出现了错误提示，如提示 usbmuxd 的版本不正确，使用如下命令解决依赖的版本问题brew uninstall --ignore-dependencies usbmuxd
brew install --HEAD usbmuxd
brew unlink usbmuxd
brew link usbmuxd再次安装 libimobiledevicebrew install --HEAD libimobiledevice截取屏幕快照功能无法正常工作，提示 Could not start screenshot service!在连接设备之前您必须确保开发者选项可用。通过stackoverflow获取更多解决帮助。
Package: lyrical_page
=====Lyrical Page=====Lyrical Page is a website development app for the Django framework. Roughly basedon the original Django flatpages contrib app with ideas pulled from a variety sourcesacross the internet.The system is designed to be modular and compliment Django's philosophy of staying outof the way of the developer. The code base has continued to evolve through real world usein different types of websites.Detailed documentation is a work in progress.Quick start-----------1.  Add site_content, and site_seo to your INSTALLED_APPS in the following manner:INSTALLED_APPS = (...'lyrical.site_content','lyrical.site_seo',)2.  If you are using the site_seo app, add the context processor to your settings file:TEMPLATE_CONTEXT_PROCESSORS = (...'lyrical.site_seo.context_processors.site_seo',)3.  Add the middleware classes to your settings file.  These middlware should be the lastentries in your list/tuple.MIDDLEWARE_CLASSES = (...'lyrical.site_content.middleware.SitePageFallbackMiddleware','lyrical.site_seo.middleware.SiteSeoMiddleware',)4.  Run 'python manage.py syncdb' to create new database tables and supplemental databaseactions.5.  Log into the Django admin site and you can now add site_content site pages as you need.Will LaShell <wlashell@lyrical.net>
Package: lyricaly
LyricalyGet Lyrics on your TerminalJust because finding lyrics on a web browser is too mainstream, I made this to get them delivered to your Terminal.Lyricaly gets Lyrics delivered to your Terminal for any Song. Uses beautifulsoup4 to scrap lyrics.Published at pypi: LyricalyInstallationUsing pip# Install package from pypi
$ pip install lyricaly# Run it
$ lyricaly# Done!!
Without using pip# Clone the repository
$ git clonehttps://github.com/vigzmv/Lyricaly.git$ cd lyricaly# Install Lyricaly
$ sudo python setup.py install# Run it
$ lyricaly# or simply execute the Python Script (lyrical.py)
# Done!!Lyricaly scraps the lyrics of the given song from MusixmatchI am in no way associated with musixmatch and the correctness of lyrics corresponds with the data present in the database.Lyricaly only scraps the present data from there and delivers it.Note: English Language lyrics work fine. Spanish and french support is not good. Other Languages might work.
Package: lyricli
LyricliTmux 키고 터미널에서 작업하고 있는데 현재 틀어논 노래의 가사가 자주 궁금해져서 만들어봤습니다.코로나 때문에 코노도 자주 못가는데 집에서라도 불러야죠. 🔥터미널에서 원하는 가사를 보여줍니다.Simple script to display song lyrics on terminal.ResourcesHomepage:https://github.com/KKodiac/lyricliIssues:https://github.com/KKodiac/lyricli/issuesPython Package:https://pypi.org/project/lyricli/0.0.9/RequirementsPython 3.6+Installationpipinstalllyricli==0.0.9Usagelyriclilyrics[-t,--title]{MUSIC-TITLE}[-r,--artist]{ARTIST-NAME}LicenseContributorSean HongLicensed under MIT License
Package: lyric-matcher
Lyrics MatcherOverviewLyrics Matcher is for getting the timestamp of the beginning of each lyric section.Installation$pipinstalllyric_matcherUsage>>>fromlyricsmatcherimportlyrics_matcher>>>t=lyrics_matcher.findTimestamp('YRMU.txt','YRMUwithTime.txt')>>>print(t)"""['[00:14.59]', '[00:45.75]', '[01:59.28]', '[03:01.19]', '[04:07.14]']"""
Package: lyrics-client
Lyrics-ClientGet the lyrics of your favorite musics !FeaturesAutomatic lyrics fetching from different servicesCurrently supported : Genius, Musixmatch, AZLyricsTitle and artist verification to find the best matchEasy to use, straightforward interfaceExtensive results informationPossible to use via DI integrationInstallationPippip install lyrics-clientPoetryPoetryis a Python dependency management and packaging tool. I actually use it for this project.poetry add lyrics-clientUsageThere are 2 ways to use this library : using the LyricsClient object or via the DI.Using LyricsClientThe library exposes the LyricsClient class. This class has 2 methods :get_lyricsandget_from_song.Both methods do the same thing : fetching lyrics and returns the results in a list ofFetchLyricsResult.However,get_lyricsaccept aFetchLyricsCommandobject as parameter, whileget_from_songaccept a song title, the song artists and optionally the clients to use.Example :fromlyrics_clientimportLyricsClientclient=LyricsClient()results=client.get_from_song("in the end","linkin park")lyrics=results[0].lyricsUsing DIThe library also exposes aBaseLyricsClientinterface and aadd_lyrics_clientfunction forTaipan-DI.In this method, the clients are registered as a Pipeline. All you need to do is to resolve the pipeline and execute it.Example :fromlyrics_clientimportBaseLyricsClient,add_lyrics_client,FetchLyricsCommandfromtaipan_diimportDependencyCollectionservices=DependencyCollection()add_lyrics_client(services)provider=services.build()client=provider.resolve(BaseLyricsClient)request=FetchLyricsCommand("in the end","linkin park")results=client.exec(request)lyrics=results[0].lyricsInspirationsThis library is partially based on spotDL'sspotify-downloader.
Package: lyric-scraper
Lyric - Scraper###Lyric-Scraper is a tool to get lyrics for your favourite songs.FeaturesCan scrape the lyrics from the web by entering Artist and song details.Can get the lyrics from meta data of song file.Can save the lyrics in file meta data or in text file.How To Installyou can directly install from pip.pip3 install lyric-scraper###OR
1.) clone this repositorygit clone https://github.com/prakhar1965/lyric-scraper.git2.) Enter into repo's directorycd lyric-scrapper3.)Install the require dependencies by runningpip install -r requirements.txt3.)Install lyric-scrapper by runningpython setup.py installHow To UseEnterlyricsto command prompt, It will ask for artist and song details.Enterlyrics [FILENAMES], to get lyric from song MP3 file.Check out different options, by enterlyrics --helpLicenseThis project is licensed under the MIT License - see theLICENSE.txtfile for details
Package: lyrics-displayer
Lyrics DisplayerLyrics Displayer automatically detects what song is playing on a
music player connected to the same network.It then queries lyrics from various online sources and displays
the lyrics to the command line (attempting to estimate the current
position in the song).Supported PlayersSonosLyrics SourcesIntegrates withlyricfetchwhich has an extensive list of supported sources.UsageTo use simply, in command line do::>>> sing-alongInstallation>>> pip install lyrics-displayer
Package: lyrics-dl
FeaturesEnter any artist and song name when prompted and lyrics will be printed to standard outputGive an mp3 file as an attribute, and find lyrics using the mp3’s metadataSave the obtained lyrics into the mp3’s metadataSupport for other formats coming soon!InstallationVia pip :pip installlyrics-dlAlternatively :-Clone the repoEnter the downloaded repo’s root directory :cdlyrics-dlInstall the required modules and its dependencies by runningpip install-rrequirements.txt(You may want to consider using a virtual environment)Install lyrics-dl by runningpip install .orpython setup.py installUsageTypelyrics-dlto receive prompt for artist and song nameTypelyrics-dl<filenames>to obtain lyrics for mp3 filesNote : Check lyrics-dl –help for in-depth instructions
Package: lyricsfandom
lyricsfandomScrape music data from LyricsWiki (https://lyrics.fandom.com). Artists, Albums, Songs can be extracted.Project made during a Deep Learning project for music generation using GPT2 model.InstallationInstalllyricsfandompackage fromPyPi:pip install lyricsfandomOr fromGitHub:git clone https://github.com/arthurdjn/scrape-lyricwiki
cd scrape-lyricwiki
pip install .Getting StartedLyricsFandom APIYou can search forArtist,AlbumorSongfrom the API:fromlyricsfandomimportLyricWiki# Connect to the APIwiki=LyricWiki()# Search for an artist. `LyricsFandom` is not case sensitive.artist=wiki.search_artist('london grammar')# Search for an albumalbum=wiki.search_album('london grammar','if you wait')# ...Or a songsong=wiki.search_song('london grammar','strong')# And retrieve its lyricslyrics=song.get_lyrics()StructureThe package is divided as follows:ArtistMetaAlbumMeta, inherits from ArtistMetaSongMeta, inherits from AlbumMetaRetrieve dataOnce you have one of these objects, you can also access data directly through their methods:artist=wiki.search_artist('london grammar')albums=artist.get_albums()songs=artist.get_songs()# Idem from an albumalbum=wiki.search_album('london grammar','if you wait')songs=album.get_songs()In addition, you can retrieve parent objects from children:artist=wiki.search_artist('london grammar')song=artist.search_song('strong')# Access to parent classesalbum=song.get_album()artist=song.get_artist()You can scrape for description, links and other details information:artist=wiki.search_artist('london grammar')info=artist.get_info()# description of the artist (band members, genres, labels etc.)links=artist.get_links()# links where to buy the artist's music.Save and exportYou can save data in a JSON format (and encode it to ASCII if you want).artist=wiki.search_artist('london grammar')artist_data=artist.to_json(encode='ascii')# Idem for Album and SongEfficiencyThis package can make a lot of connections while scraping data.
Here is a small comparison of different packages, made on scraping 10 songs from an album.pylyrics3is the fastest to retrieve data, but it only return lyrics on a JSON format (and not OOP).lyricsfandomhave similar results, butlyricsmasteris 10 times slower.
Package: lyrics-fetcher
fetch_lyrics CLI FunctionCustom command-line interface, based on thelyricgenius* Genius API implementation. Command line flags can be used to automatically copy the found lyrics to the MacOS* clipboard, and to store the found lyrics as .txt files in a (configurable) directory.Installation and First Usepipinstalllyrics-fetcherFor this software to work, a Genius API token is required. These (free) tokens can be found onthe Genius developers website. More information about the Genius API can be found inthe Genius API documentation. See the Usage section for information on how to set a token.UsageFetching Lyricsfetch_lyrics-[pc]"Queen""Bohemian Rhapsody"the-pflag enables saving of lyrics to a .txt file. By default, this is the current directory from which the command is run. To change the output directory, see the changing settings section.the-cflag enables copying of the found lyrics to the MacOS* clipboard. This could be useful for manually adding lyrics to ID3 tags.--settings,--helpand--versioncan also be called for their basic functionality.Changing Settingsbefore the first use, the token should be set. This token will be locally stored (unencrypted). To set the token, use the following command:fetch_lyricssettoken"TOKEN"where TOKEN is replaced with the token obtained from the Genius developers webpage.A custom output directory for the output of found lyrics into .txt files can be set using:fetch_lyricssetoutdir"desired/output/directory"Settings are locally stored in .settings files. Note that these are unencrypted, but are never shared or moved.Use PolicyThis software is licensed usingGNU GPLv3.Disclaimer and Notes*) Note that compatibility of different dependencies and OS' is not (yet) investigated.I am open to improvements/pull requests, but may not have much time to look into them.Currently only supports UTF-8 character encoding.