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{{Infobox software
| name =
| logo = Conda logo.svg
| logo alt =
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| author =
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| released = 
| discontinued = 
| repo = 
| programming language = [[Python]]
| engine = 
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| license = [[BSD许可证|BSD]]
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'''Conda'''是一个[[开源]]<ref name="conda.pydata">{{cite web
|title=Conda
|url=http://conda.pydata.org/
|website=pydata.org
|accessdate=9 April 2015
|archive-date=2016-11-20
|archive-url=https://web.archive.org/web/20161120013249/http://conda.pydata.org/
|dead-url=yes
}}</ref>[[跨平台]]<ref name=pydanny>{{cite news
|title=Building Conda Packages for Multiple Operating Systems
|url=http://www.pydanny.com/building-conda-packages-for-multiple-operating-systems.html
|accessdate=9 April 2015
|publisher=Pydannt
|date=29 January 2015
|archive-date=2015-04-11
|archive-url=https://web.archive.org/web/20150411101711/http://www.pydanny.com/building-conda-packages-for-multiple-operating-systems.html
|dead-url=no
}}</ref>{{tsl|en|language-agnostic|语言无关}}<ref name="conda-data-science">{{cite web
|url = http://continuum.io/blog/conda-data-science
|title = Conda for Data Science
|last1 = Doig
|first1 = Christine
|date = 21 May 2015
|archive-url = https://web.archive.org/web/20150616211813/http://continuum.io/blog/conda-data-science
|archive-date = 2015-06-16
|access-date = 16 Jun 2015
|quote = Conda works with Linux, OSX, and Windows, and is language agnostic, which allows us to use it with any programming language or even multi-language projects.
|dead-url = yes
}}</ref>的[[包管理器|包管理]]与环境管理系统。<ref>{{cite book
| last = Gorelick (Author)
| first = Micha
| last2 = Ozsvald
| first2 = Ian
| title = High Performance Python: Practical Performant Programming for Humans
| publisher = O'Reilly Media
| edition = 1st
| date = September 2014
| pages = 370
| url = https://www.amazon.com/High-Performance-Python-Performant-Programming/dp/1449361595
| isbn = 1449361595
| access-date = 2019-04-19
| archive-date = 2019-03-28
| archive-url = https://web.archive.org/web/20190328060605/https://www.amazon.com/High-Performance-Python-Performant-Programming/dp/1449361595
| dead-url = no
}}</ref><ref name="networkworld-Jackson-DARPA">{{cite web
| last = Jackson
| first = Joab
| title = Python gets a big data boost from DARPA
| publisher = networkworld
| date = Feb 5, 2013
| url = http://www.networkworld.com/article/2163350/application-performance-management/python-gets-a-big-data-boost-from-darpa.html
| accessdate = October 30, 2014
| archive-date = 2018-06-13
| archive-url = https://web.archive.org/web/20180613162628/https://www.networkworld.com/article/2163350/application-performance-management/python-gets-a-big-data-boost-from-darpa.html
| dead-url = yes
}}</ref>由“连续统分析”（Continuum Analytics）基于[[BSD许可证]]发布。<ref name=conda.pydata /><ref name=penandpants>{{cite web|title=State of Conda, Oct. 2014|url=http://penandpants.com/2014/10/09/state-of-conda-oct-2014/|publisher=Pen and Pants|accessdate=9 April 2015|archive-date=2019-04-19|archive-url=https://web.archive.org/web/20190419083642/https://penandpants.com/2014/10/09/state-of-conda-oct-2014/|dead-url=no}}</ref><ref name=data-science>{{cite book|author1=Tony Ojeda|author2=Sean Patrick Murphy|author3=Benjamin Bengfort|author4=Abhijit Dasgupta|title=Practical Data Science Cookbook|date=25 September 2014|publisher=Packt Publishing Ltd|isbn=1783980257|url=https://books.google.com/books?id=E5efBAAAQBAJ&pg=PT63&lpg=PT63&dq=%22continuum.io%22&source=bl&ots=650rvMYWrk&sig=Y96ITbXeN2fxShGNfdq56seoOl4&hl=en&sa=X&ei=NXwIVeaROImiNpzugqAC&redir_esc=y#v=onepage&q&f=false|accessdate=19 March 2015|archive-date=2019-09-24|archive-url=https://web.archive.org/web/20190924211201/https://books.google.com/books?id=E5efBAAAQBAJ&pg=PT63&lpg=PT63&dq=%22continuum.io%22&source=bl&ots=650rvMYWrk&sig=Y96ITbXeN2fxShGNfdq56seoOl4&hl=en&sa=X&ei=NXwIVeaROImiNpzugqAC&redir_esc=y#v=onepage&q&f=false|dead-url=no}}</ref><ref name=python-prog>{{cite book|last1=Hans|first1=Petter|title=A Primer on Scientific Programming with Python|date=2014|publisher=Springer|isbn=3642549594|url=https://books.google.com/books?id=GPUuBAAAQBAJ&pg=PA827&lpg=PA827&dq=%22continuum.io%22&source=bl&ots=dRQrMTyAwU&sig=StDZeJ77KCXj2CR77NwlWgYN-dc&hl=en&sa=X&ei=jXwIVZ_gBoqzggTrwIL4Bw&redir_esc=y#v=onepage&q=continuum&f=false|accessdate=19 March 2015|archive-date=2019-09-24|archive-url=https://web.archive.org/web/20190924211202/https://books.google.com/books?id=GPUuBAAAQBAJ&pg=PA827&lpg=PA827&dq=%22continuum.io%22&source=bl&ots=dRQrMTyAwU&sig=StDZeJ77KCXj2CR77NwlWgYN-dc&hl=en&sa=X&ei=jXwIVZ_gBoqzggTrwIL4Bw&redir_esc=y#v=onepage&q=continuum&f=false|dead-url=no}}</ref><ref name=python>{{cite book|author1=Yves Hilpisch|title=Python for Finance: Analyze Big Financial Data|date=11 December 2014|publisher=O'Reilly Media|url=https://books.google.com/books?id=E93SBQAAQBAJ&pg=PA28&lpg=PA28&dq=%22continuum.io%22&source=bl&ots=VqmQ7ztlVu&sig=_vK4snA2XASbOVeooWUdPqJyBwM&hl=en&sa=X&ei=jXwIVZ_gBoqzggTrwIL4Bw&redir_esc=y#v=onepage&q=continuum&f=false|accessdate=19 March 2015|archive-date=2019-09-24|archive-url=https://web.archive.org/web/20190924211206/https://books.google.com/books?id=E93SBQAAQBAJ&pg=PA28&lpg=PA28&dq=%22continuum.io%22&source=bl&ots=VqmQ7ztlVu&sig=_vK4snA2XASbOVeooWUdPqJyBwM&hl=en&sa=X&ei=jXwIVZ_gBoqzggTrwIL4Bw&redir_esc=y#v=onepage&q=continuum&f=false|dead-url=no}}</ref><ref name=yf-conda>{{cite news|title=Continuum Analytics Launches Anaconda Server for Enterprise Package Management|url=https://finance.yahoo.com/news/continuum-analytics-launches-anaconda-server-140000663.html|accessdate=19 March 2015|publisher=[[Yahoo Finance]]|date=30 January 2014|archive-date=2019-04-19|archive-url=https://web.archive.org/web/20190419083634/https://finance.yahoo.com/news/continuum-analytics-launches-anaconda-server-140000663.html|dead-url=no}}</ref>

Conda允许用户方便地安装不同版本的[[二进制文件|二进制]]软件包与该[[计算平台]]需要的所有库。还允许用户在不同版本的包之间切换、从一个[[软件仓库]]下载包并安装。

Conda是用Python语言开发，但能管理其他编程语言的项目（如[[R语言]]<ref name="conda-data-science"/>），包括多语言项目。<ref name="conda-data-science"/> Conda可安装Python语言的包，<ref name="conda-managing-python">{{cite web
|url = http://conda.pydata.org/docs/test-drive.html#managing-python
|title = 3. Managing Python
|year = 2015
|archive-url = https://web.archive.org/web/20150616213859/http://conda.pydata.org/docs/test-drive.html#managing-python
|archive-date = 2015-06-16
|access-date = 16 Jun 2015
|quote = So now let’s say you need Python 3 to learn programming, but you don’t want to overwrite your Python 2.7 environment by updating Python. You can create and activate a new environment named snakes, and install the latest version of Python 3 as follows:
|dead-url = no
}}</ref>类似于其他基于Python的跨平台包管理器（如wheel<ref>[http://wheel.rtfd.org/ wheel]{{Wayback|url=http://wheel.rtfd.org/ |date=20190924211203 }}</ref>或[[pip (package manager)|pip]]）。

一些基于Conda的工具软件：
*Bioconda，用于计算生物学。<ref>{{Cite web |url=https://bioconda.github.io/ |title=Bioconda official website |accessdate=2019-04-19 |archive-date=2019-04-19 |archive-url=https://web.archive.org/web/20190419083632/https://bioconda.github.io/ |dead-url=no }}</ref><ref>{{cite biorxiv|biorxiv=207092|title=Bioconda: A sustainable and comprehensive software distribution for the life sciences|first1=Bjorn|last1=Grüning|first2=|last2=the Bioconda Team|date=27 October 2017}}</ref>
*[[Anaconda (Python发行版)|Anaconda]]
*Miniconda<ref>{{cite web |title=Miniconda is a free minimal installer for conda |url=https://docs.conda.io/en/latest/miniconda.html |website=conda.io |access-date=2022-09-01 |archive-date=2022-09-03 |archive-url=https://web.archive.org/web/20220903193802/https://docs.conda.io/en/latest/miniconda.html |dead-url=no }}</ref>
*Anaconda Repository.<ref name="AnacondaRepo">{{cite web |title=Anaconda repository |url=https://anaconda.org/anaconda/repo |website=anaconda.org |accessdate=2019-04-19 |archive-date=2019-03-28 |archive-url=https://web.archive.org/web/20190328060606/https://anaconda.org/ |dead-url=yes }}</ref>

==参考文献==
{{reflist|2}}

==外部链接==
*{{GitHub|conda}}
[[Category:软件包管理系统]]

Conda - 版本历史

imported>Taeas：​维护清理

imported>Taeas：维护清理