DMelt:Dev/Usage And Popularity

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Usage and Popularity

This section is a working draft for wikipedia.

Reviews

DataMelt and its earlier versions, SCaVis (2013-2015) and JHepWork (2005-2013), which are still available from DataMelt archive repository are discussed and compared with similar packages in: [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] .

The DataMelt (2015-), a new development of the JHepWork and SCaVis programs. Comparisons of DataMelt with other popular packages for statistical and numeric analysis are given in these reviews [15] [16] [17] [18] [19] .

DataMelt is often discussed in various lists with similar software [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] [39] [40] .

Popularity

jHepWork, SCaVis/DatMelt are part of the software library of National Institutes of Health Library [41], Mathematical support of Institute for Nuclear Research of Russian academy of Sciences[42] and others. On a commercial site, DataMelt is provided as a service on Amazon EC2 clouds by the Miri Infotech IT Solution Provider company [43].

It is difficult to judge how many users use DataMelt since download information from the main resource [1] is not available. Sourceforge, which provides an alternative download option, quotes 300 monthly downloads [2] (May 2018).

One estimate can be done by looking at the popularity of the book[44] which, de facto, is a description of the DataMelt program. According to the Springer International, this book is top 25% most downloadable books in 2016 and 2017 in the category "Advanced Information and Knowledge Processing" [45]. Since the publication of the book, Springer detects 26k chapter downloads until May 2018[46], about 1500 per chapter. The previous book describing jHepWork had a similar popularity [47]. Bookmetrix estimates 140 readers of the DataMelt book.

References

  1. ↑ Comparative Study of Diverse Collection of Data Mining Tools. By S. Sarumathi, N. Shanthi, S. Vidhya, M. Sharmila. International Journal of Computer, Control, Quantum and Information Engineering. 2014; 8(6). 7.
  2. ↑ jHepWork – full-featured multiplatform data-analysis framework. [3]
  3. ↑ Data Analysis and Data Mining Using Java, Jython and jHepWork Blog [4]
  4. ↑ Java Applications: Weka, Svnkit, Jhepwork, Fiji, Memoranda, Livegraph, Dirsync Pro, Moneydance, Rachota Timetracker, Data Mapping Engine. de LLC Books (2010) (Redactor) [5]
  5. ↑ HEP data analysis using jHepWork and Java. Proceedings of the HERA-LHC workshops (2007-2008), DESY-CERN [6]
  6. ↑ A Study of Tools, Techniques, and Trends for Big Data Analytics. By R.Shireesha et al. (2016) International Journal of Advance Computing Technique and Applications (IJACTA), ISSN : 2321-4546, Vol 4, Issue 1 [7]
  7. ↑ Comparison of Various Tools for Data Mining. By P.Kaur etc. IJERT ISSN: 2278-0181 Vol. 3 Issue 10 (2010) [[8]]
  8. ↑ Advanced Web and Network Technologies, and Applications. By Heng Tao Shen et al. Springer Science & Business Media - 2006-01-09
  9. ↑ SCaVis 2.1. Review by Pete Daniel (2014) [9]
  10. ↑ DataMelt – Werkbank für technisch-wissenschaftliche Berechnungen und Visualisierungen mit Java und Jython, Java SPEKTRUM (German) 5/2013, 26-28, [10]
  11. ↑ Suitability analysis of data mining tools and methods. [11]. S.Kovac, Bachelor's thesis (in English), jHepWork is reviewed on page 39-42, Masaryk University.
  12. ↑ Gestion del Conocimiento (in Spanish), Universidad del Magdalena, A.E.Gonzalez, A.M.Pertuz, S.Pimienta, A,Cana, A.Quiceno, [12] (p 20-25).
  13. ↑ VeryCD. JHepWork tutorial
  14. ↑ 5 of the Best Free and Open Source Data Mining Software. by Jun Auza (2010). TechSource [13]
  15. ↑ Comparative Analysis of Information Extraction Techniques for Data Mining, by Amit Verma et al. Indian Journal of Science and Technology, Vol 9, March 2016 [14]
  16. ↑ Evaluation and comparison of open source software suites for data mining and knowledge discovery. A.H. Altalhi et al. Wiley Online Library (2017) [15]
  17. ↑ Brief Review of Educational Applications Using Data Mining and Machine Learning, [16], by A. Berenice Urbina Nájera, Jorgede la Calleja Mora, Redie ISSN 1607-4041. Revista Electrónica de Investigación Educativa, 19(4), 84-96
  18. ↑ Analysis of Data Using Data Mining tool Orange. Maqsud S.Kukasvadiya et. al. [17] (2017) IJEDR, Volume 5, Issue 2, ISSN: 2321-9939
  19. ↑ Big Data - A Survey of Big Data Technologies. By P.Dhavalchandra, M.Jignasu, R.Amit. International Journal of Science and Technology. Volume 2, p45-50 (2016) [18]
  20. ↑ Best free data analytics tools, 2018. CIO. Aticle. By Matt Kapko. [19]
  21. ↑ Top 15 Best Free Data Mining Tools. Software Testing Help [20]
  22. ↑ DataMelt. Predictive analytic review. [21]
  23. ↑ Free statistical software. Article published from the Citizendium [22]
  24. ↑ 19 Best Data Mining Tools. Data Mining Tutorials by Data Flair [23]
  25. ↑ Other data analysis frameworks. [24]. Review by DataForge. Institute for Nuclear Research of Russian academy of Sciences
  26. ↑ DataMaition. Hadoop and Big Data: 60 Top Open Source Tools [25]
  27. ↑ The Data Science Toolkit: 24 free data science tools by Naina Sethi. [26]
  28. ↑ Top 7 Data Mining Tools. [27] By Snyder Libbys (2018)
  29. ↑ The Most Popular Python Scientific Libraries. Apr 2017. [28]
  30. ↑ 5 Most Commonly Used Open Source Data Mining Tools. CodeCondo blog by Sabeer Shaikh [29]
  31. ↑ 25 amazing Java desktop applications by M. Schulenburg. [30]
  32. ↑ Big Data Mining. 2017 Open Source Big Data Mining Tools. Intelegency.ORG (2017) [31]
  33. ↑ 5 of the Best Free and Open Source Data Mining Software. Blog (2010) J. Auza. TechSource. News. Reviews. [32]
  34. ↑ PC Quest review. 8 Enterprise Class Open Source Tools for Data and Text Mining by by Raj Kumar Maurya. Oct 2015 [33]
  35. ↑ 25+ Free Data Mining Tools for Better Analysis. RankRED. By Varun Kumar. (2015) Internet Technology Knowledge. [34]
  36. ↑ 8 Best Open Source Data Mining Tools [35]e/]
  37. ↑ Top application for scientific computation, data analysis and data visualization that features IDE, Jython shell and BeanShell consoles, various programming languages, and LaTeX editing capabilities [36]
  38. ↑ Top 10 open source data mining tools. By I.V.Shravan, Open Source Portal. 2017, [37]
  39. ↑ 7 ferramentas gratuitas e eficazes para análise de dados, by Matt Kapko (2018). ComputerWord [38]
  40. ↑ 2018年7款最佳免费数据分析工具 (2018) [39]
  41. ↑ Data Sciences Workstation: SCaVis. By Lisa Federer. National Institutes of Health Library [40]
  42. ↑ The DataForge, Sector for Mathematical Support of Institute for Nuclear Research of Russian academy of Sciences [41]
  43. ↑ Miri Infotech. A Complete IT Solution Provider. DataMelt deployment
  44. ↑ Numeric Computation and Statistical Data Analysis on the Java Platform, S.Chekanov, Springer, 2016
  45. ↑ Springer Book Performance Report [42]
  46. ↑ Springer download Statistics of the book "Numeric Computation and Statistical Data Analysis on the Java Platform" 2016 [43]
  47. ↑ Springer download Statistics of the book "Scientific Data Analysis using Jython Scripting and Java" [44]
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