Difference between revisions of "Metakit"
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|Short description=Embedded database library | |Short description=Embedded database library | ||
|Full description='Metakit' fills the gap between flat-file, relational, object-oriented, and tree-structured databases, supporting relational joins, serialization, nested structures, and instant schema evolution. There is a C++ API, a Python binding (Mk4py), and a Tcl binding (Mk4tcl). Data files are portable, use auto-sizing ints and strings, and can efficiently store binary data from single bits to multi-Mb objects. MetaKit works well for moderate-size (a few dozen Mb) datasets, and offers excellent performance well beyond that size when its column-wise data model is fully taken advantage of. | |Full description='Metakit' fills the gap between flat-file, relational, object-oriented, and tree-structured databases, supporting relational joins, serialization, nested structures, and instant schema evolution. There is a C++ API, a Python binding (Mk4py), and a Tcl binding (Mk4tcl). Data files are portable, use auto-sizing ints and strings, and can efficiently store binary data from single bits to multi-Mb objects. MetaKit works well for moderate-size (a few dozen Mb) datasets, and offers excellent performance well beyond that size when its column-wise data model is fully taken advantage of. | ||
| + | |Homepage URL=http://equi4.com/metakit/ | ||
|User level=none | |User level=none | ||
| − | |||
|Component programs=Mk4py,Mk4tcl,Oomk | |Component programs=Mk4py,Mk4tcl,Oomk | ||
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|VCS checkout command=-d:pserver:anonymous@equi4.com:/home/cvs co metakit | |VCS checkout command=-d:pserver:anonymous@equi4.com:/home/cvs co metakit | ||
|Computer languages=C++ | |Computer languages=C++ | ||
|Documentation note=User tutorials available in HTML format from http://support.articque.com/metakit/metakit_tutorial.html and http://www.markroseman.com/tcl/mktcl.html | |Documentation note=User tutorials available in HTML format from http://support.articque.com/metakit/metakit_tutorial.html and http://www.markroseman.com/tcl/mktcl.html | ||
|Paid support=Paid support and consulting available from Equi4 Software at http://www.equi4.com/about.html | |Paid support=Paid support and consulting available from Equi4 Software at http://www.equi4.com/about.html | ||
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|Related projects=SQLite,Berkeley_Database | |Related projects=SQLite,Berkeley_Database | ||
|Keywords=C++,database,library,tree,Python,Tcl,relational,serialization,nested,metakit | |Keywords=C++,database,library,tree,Python,Tcl,relational,serialization,nested,metakit | ||
| − | | | + | |Version identifier=2.4.9.8 |
| − | |Last review by= | + | |Version date=2015/06/18 |
| − | |Last review date= | + | |Version status=stable |
| + | |Version download=https://github.com/jcw/metakit/archive/2.4.9.8.tar.gz | ||
| + | |Last review by=Alejandroindependiente | ||
| + | |Last review date=2017/03/01 | ||
|Submitted by=Database conversion | |Submitted by=Database conversion | ||
|Submitted date=2011-04-01 | |Submitted date=2011-04-01 | ||
| − | | | + | |Status= |
| − | | | + | |Is GNU=No |
| − | | | + | |License verified date=2002-03-18 |
| − | | | + | }} |
| + | {{Project license | ||
| + | |License=X11 | ||
| + | |License verified by=Janet Casey | ||
|License verified date=2002-03-18 | |License verified date=2002-03-18 | ||
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}} | }} | ||
{{Person | {{Person | ||
| + | |Real name=Jean-Claude Wippler | ||
|Role=Maintainer | |Role=Maintainer | ||
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|Email=jcw@equi4.com | |Email=jcw@equi4.com | ||
|Resource URL= | |Resource URL= | ||
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|Works-with=database | |Works-with=database | ||
}} | }} | ||
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Revision as of 16:23, 1 March 2017
Metakit
http://equi4.com/metakit/
Embedded database library
'Metakit' fills the gap between flat-file, relational, object-oriented, and tree-structured databases, supporting relational joins, serialization, nested structures, and instant schema evolution. There is a C++ API, a Python binding (Mk4py), and a Tcl binding (Mk4tcl). Data files are portable, use auto-sizing ints and strings, and can efficiently store binary data from single bits to multi-Mb objects. MetaKit works well for moderate-size (a few dozen Mb) datasets, and offers excellent performance well beyond that size when its column-wise data model is fully taken advantage of.
Licensing
License
Verified by
Verified on
Notes
Leaders and contributors
| Contact(s) | Role |
|---|---|
| Jean-Claude Wippler | Maintainer |
Resources and communication
| Audience | Resource type | URI |
|---|---|---|
| Developer,Support | mailto:metakit@equi4.com | |
| Help | mailto:announce@equi4.com | |
| Python (Ref) | https://pypi.org/project/Metakit | |
| Debian (Ref) | https://tracker.debian.org/pkg/metakit | |
| Bug Tracking | Homepage | http://www.equi4.com/bugs |
| Developer | VCS Repository Webview | http://www.equi4.com/cgi-bin/cvsweb/metakit/ |
Software prerequisites
Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the page “GNU Free Documentation License”.
The copyright and license notices on this page only apply to the text on this page. Any software or copyright-licenses or other similar notices described in this text has its own copyright notice and license, which can usually be found in the distribution or license text itself.