Parents (Total: 16)

The searched file hash is included in 16 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	EB0078FCD52A58196556209F3999A075
PackageArch	sparc64
PackageDescription	SciDAVis is a user-friendly data analysis and visualization program primarily aimed at high-quality plotting of scientific data. It strives to combine an intuitive, easy-to-use graphical user interface with powerful features such as Python scriptability.
PackageMaintainer	Fedora Project
PackageName	scidavis
PackageRelease	8.fc12
PackageVersion	0.2.3
SHA-1	0EBA05E310C479E3A704802EDC1A0BE9072C91DD
SHA-256	48EE976D4CB06279C8E5DF4BE53A17F7BAE2E058E099254AFDE1DB16596D7E26

Key	Value
MD5	C6EB367D3B65CF9AD9B31FB54188803B
PackageArch	s390x
PackageDescription	SciDAVis is a free interactive application aimed at data analysis and publication-quality plotting. It combines a shallow learning curve and an intuitive, easy-to-use graphical user interface with powerful features such as scriptability and extensibility.
PackageMaintainer	Fedora Project
PackageName	scidavis
PackageRelease	12.fc23
PackageVersion	1.D8
SHA-1	128B52E2C0782A28C9607653402B160D417EE3A0
SHA-256	45924ADD62BBDF9E8B237962C6C91E7D35051F755064889BF4432E0310E470BF

Key	Value
MD5	55007E27A59CA76E30DE627BA4B6874D
PackageArch	s390x
PackageDescription	SciDAVis is a user-friendly data analysis and visualization program primarily aimed at high-quality plotting of scientific data. It strives to combine an intuitive, easy-to-use graphical user interface with powerful features such as Python scriptability.
PackageMaintainer	Fedora Project
PackageName	scidavis
PackageRelease	4.fc14
PackageVersion	0.2.4
SHA-1	186D80632DDDFFDD017DF57ECB9452B073F43746
SHA-256	7F6F27CB45CDE66BC251E9B4271C20989D0A09BDF237D51CAFB77505FC2210A5

Key	Value
MD5	86A11310709DE7E902446785D75AA5EA
PackageArch	s390
PackageDescription	SciDAVis is a user-friendly data analysis and visualization program primarily aimed at high-quality plotting of scientific data. It strives to combine an intuitive, easy-to-use graphical user interface with powerful features such as Python scriptability.
PackageMaintainer	Fedora Project
PackageName	scidavis
PackageRelease	4.fc14
PackageVersion	0.2.4
SHA-1	19212B08C04B475BFA91F13BD6DEEE6987175516
SHA-256	DC59E6D9FF2F95C00473784314B79532971A9CF9EE9CB54D13FB35EF186720D1

Key	Value
MD5	0FA8969BE2A6F2DA1734D0A37827211A
PackageArch	s390
PackageDescription	SciDAVis is a free interactive application aimed at data analysis and publication-quality plotting. It combines a shallow learning curve and an intuitive, easy-to-use graphical user interface with powerful features such as scriptability and extensibility.
PackageMaintainer	Fedora Project
PackageName	scidavis
PackageRelease	12.fc23
PackageVersion	1.D8
SHA-1	340756494C4B047CAE803002E113017BE6ABB6FF
SHA-256	C0773E8FA71848A3AA450A9F6558A80B8787E826478B3966E7D4B35F7E24E690

Key	Value
MD5	21744D904A543EB9D0B785E3DD41E791
PackageArch	aarch64
PackageDescription	SciDAVis is a free interactive application aimed at data analysis and publication-quality plotting. It combines a shallow learning curve and an intuitive, easy-to-use graphical user interface with powerful features such as scriptability and extensibility.
PackageMaintainer	Fedora Project
PackageName	scidavis
PackageRelease	8.fc22
PackageVersion	1.D8
SHA-1	41F470F64FDB87C9AEE9AC9A3EC293F28554DC02
SHA-256	ED9724974E52AE7DABA58AA8444AC702F957B0D384539F06F95D965BFF585227

Key	Value
MD5	0ABCEF933AAAEAC5634420F0C884A2D4
PackageArch	ppc64le
PackageDescription	SciDAVis is a free interactive application aimed at data analysis and publication-quality plotting. It combines a shallow learning curve and an intuitive, easy-to-use graphical user interface with powerful features such as scriptability and extensibility.
PackageMaintainer	Fedora Project
PackageName	scidavis
PackageRelease	8.fc22
PackageVersion	1.D8
SHA-1	52BB7953AFAAB965C47699D7E67200F511C8F8B1
SHA-256	C640371ED07462620A3746F7792E413C4F9495001746E40E19EE6030E9854799

Key	Value
MD5	1579A5FA07C122D35765BC03A6B423A5
PackageArch	aarch64
PackageDescription	SciDAVis is a free interactive application aimed at data analysis and publication-quality plotting. It combines a shallow learning curve and an intuitive, easy-to-use graphical user interface with powerful features such as scriptability and extensibility.
PackageMaintainer	Fedora Project
PackageName	scidavis
PackageRelease	12.fc23
PackageVersion	1.D8
SHA-1	689A59F3225271B09706D48880E5D026A869869D
SHA-256	06A5408256C3FDC20EDB364334CB819F42774B92374F328383792C5836993559

Key	Value
MD5	24DB9FC970C76F5C1F9E36E0F6C270B2
PackageArch	ppc64
PackageDescription	SciDAVis is a free interactive application aimed at data analysis and publication-quality plotting. It combines a shallow learning curve and an intuitive, easy-to-use graphical user interface with powerful features such as scriptability and extensibility.
PackageMaintainer	Fedora Project
PackageName	scidavis
PackageRelease	8.fc22
PackageVersion	1.D8
SHA-1	77D3F8EA8B06F4807DF1FF5A5ADF2F475A81601D
SHA-256	113036BA1599484FDF492ADA30937751E40C7468AF8DEB87D20C3251695F28CD

Key	Value
FileSize	2433634
MD5	E070372F6B9F5BD33035F8AA3558BB68
PackageDescription	application for scientific data analysis and visualization SciDAVis is a free interactive application aimed at data analysis and publication-quality plotting. It combines a shallow learning curve and an intuitive, easy-to-use graphical user interface with powerful features such as scriptability and extensibility. . SciDAVis is similar in its field of application to proprietary Windows applications like Origin and SigmaPlot as well as free applications like QtiPlot, Labplot and Gnuplot. . What sets SciDAVis apart from the above is its emphasis on providing a friendly and open environment for new and experienced users alike.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	scidavis
PackageSection	graphics
PackageVersion	0.2.4-4
SHA-1	8079294157559C3C259D1BB31360493AFF21855C
SHA-256	476E48B8DBE9A60066FE56E43B12E5CF1E08C50715639AEEFC3250CFA5DFDCC7