JSparklines

JSparklines makes it straightforward to visualize numbers in Java tables by the use of sparklines. All that is needed is a couple of lines of code.

The charts are created using JFreeChart and added to the table columns using custom TableCellRenderers.

Supports more than 30 types of charts/renderers, including bar chart, line charts, stacked bar charts, bar charts with error bars, pie charts, scatter plots, interval charts, area charts, heat maps and box plots.

If you like JSparklines you may also want to check out JSparklines Factory.

JSparklines Publication:

Barsnes et al: Proteomics. 2014. (doi: 10.1002/pmic.201400356).
If you use JSparklines as part of a publication, please include this reference.


	v1.1.2 - All platforms	ReleaseNotes	JavaDoc

How to use JSparklines

See the How to use JSparklines wiki page for code examples. JSparklines is also available as a Maven dependency.

If you have questions or would like to contribute to the JSparklines project, please contact the developers.

Examples

(Click on a figure to see the full size version)

Projects using JSparklines

Project	Description	Publication
PeptideShaker	interpretation of proteomics identification results	Vaudel et al: Nature Biotechnol. 2015 Jan;33(1):22-24.
DeNovoGUI	de novo sequencing of tandem mass spectra	Muth at al: J Proteome Res. 2014 Feb 7;13(2):1143-6.
SearchGUI	graphical user interface for proteomics identification search engines	Barsnes et al: J Proteome Res. 2018 (in press)
thermo-msf-parser	parser and viewer for thermo msf files	Colaert et al: J Proteome Res. 2011;10(8):3840-3.
Fragmentation Analyzer	analyzing MS/MS fragmentation data	Barsnes et al: Proteomics 2010;10(5):1087-90.
MetaProteomeAnalyzer	analyzing meta-proteomics data	Muth et al: J Proteome Res. 2015 Mar 6;14(3):1557-65.
proteocloud	proteomics cloud computing pipeline	Muth et al: J Proteomics. 2013 Jan 8. pii: S1874-3919(13)00013-4.
S2P	processing of 2D-gel and MALDI-based mass spectrometry protein data	López-Fernández et al: Comput Methods Programs Biomed. 2018;Volume 155, pp. 1-9
DEWE	differential expression analysis of RNA-Seq data

Are you using JSparklines and would like your project listed here? Contact the developers of JSparklines.