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report.txt
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1;Gilles Louppe, Kyle Cranmer, Juan Pavez;carl: a likelihood-free inference toolbox;2016;1;11;https://doi.org/10.21105/joss.00011
2;Jake VanderPlas;mst_clustering: Clustering via Euclidean Minimum Spanning Trees;2016;1;12;https://doi.org/10.21105/joss.00012
3;Alice Harpole, Ian Hawke;R3D2: Relativistic Reactive Riemann problem solver for Deflagrations and Detonations;2016;1;16;https://doi.org/10.21105/joss.00016
4;Zhao Zhang, Daniel S. Katz, Andre Merzky, Matteo Turilli, Shantenu Jha, Yadu Nand;Application Skeleton: Generating Synthetic Applications for Infrastructure Research;2016;1;17;https://doi.org/10.21105/joss.00017
5;Matthew J. Wakefield;Xenomapper: Mapping reads in a mixed species context;2016;1;18;https://doi.org/10.21105/joss.00018
6;Peter F Hickey;Representation and Manipulation of Genomic Tuples in R;2016;1;20;https://doi.org/10.21105/joss.00020
7;J. K. Tauber;pyuca: a Python implementation of the Unicode Collation Algorithm;2016;1;21;https://doi.org/10.21105/joss.00021
8;James P Balhoff;Scowl: a Scala DSL for programming with the OWL API;2016;1;23;https://doi.org/10.21105/joss.00023
9;Daniel Foreman-Mackey;corner.py: Scatterplot matrices in Python;2016;1;24;https://doi.org/10.21105/joss.00024
10;Zachary Sloan, Danny Arends, Karl W. Broman, Arthur Centeno, Nicholas Furlotte, Harm Nijveen, Lei Yan, Xiang Zhou, Robert W. Williams, Pjotr Prins;GeneNetwork: framework for web-based genetics;2016;1;25;https://doi.org/10.21105/joss.00025
11;Conrad Sanderson, Ryan Curtin;Armadillo: a template-based C++ library for linear algebra;2016;1;26;https://doi.org/10.21105/joss.00026
12;C. Titus Brown, Luiz Irber;sourmash: a library for MinHash sketching of DNA;2016;1;27;https://doi.org/10.21105/joss.00027
13;Simon J. Greenhill;Phylogemetric: A Python library for calculating phylogenetic network metrics;2016;1;28;https://doi.org/10.21105/joss.00028
14;Christian T. Jacobs, Alexandros Avdis;Git-RDM: A research data management plugin for the Git version control system;2016;1;29;https://doi.org/10.21105/joss.00029
15;Christopher R Madan;Prism: Multiple spline regression with regularization, dimensionality reduction, and feature selection;2016;dimensionality reduction;31;https://doi.org/10.21105/joss.00031
16;Zoran Cuckovic;Advanced viewshed analysis: a Quantum GIS plug-in for the analysis of visual landscapes;2016;1;32;https://doi.org/10.21105/joss.00032
17;Nitin Madnani, Anastassia Loukina;RSMTool: collection of tools building and evaluating automated scoring models;2016;1;33;https://doi.org/10.21105/joss.00033
18;Robert T. McGibbon, Carlos X. Hernández, Matthew P. Harrigan, Steven Kearnes, Mohammad M. Sultan, Stanislaw Jastrzebski, Brooke E. Husic, Vijay S. Pande;Osprey: Hyperparameter Optimization for Machine Learning;2016;1;34;https://doi.org/10.21105/joss.00034
19;Eetu Mäkelä;LAS: an integrated language analysis tool for multiple languages;2016;1;35;https://doi.org/10.21105/joss.00035
20;Michael A Levy;gwdegree: Improving interpretation of geometrically-weighted degree estimates in exponential random graph models;2016;1;36;https://doi.org/10.21105/joss.00036
21;Julia Silge, David Robinson;tidytext: Text Mining and Analysis Using Tidy Data Principles in R;2016;1;37;https://doi.org/10.21105/joss.00037
22;Matt Germonprez, Thomas Gurney, Sai Uday Shankar Korlimarla, Robin Gandhi;DoSOCS: A System for SPDX 2.0 Document Creation and Storage;2016;1;38;https://doi.org/10.21105/joss.00038
23;Simon Bogutzky, Jan Christoph Schrader, Nassrin Hajinejad, Barbara Grüter;PsychoPhysioCollector: A Smartphone-Based Data Collection App for Psychophysiological Research;2016;1;40;https://doi.org/10.21105/joss.00040
24;Simon Bogutzky, Phillip Marsch, Licínio Roque, Nassrin Hajinejad, Barbara Grüter;PsychoPhysioPipeline: A Processing and Analysis Pipeline for Psychophysiological Research;2016;1;41;https://doi.org/10.21105/joss.00041
25;Simon DW Frost;Gillespie.jl: Stochastic Simulation Algorithm in Julia;2016;1;42;https://doi.org/10.21105/joss.00042
26;Christopher D. Cooper, Natalia C. Clementi, Gilbert Forsyth, Lorena A. Barba;PyGBe: Python, GPUs and Boundary elements for biomolecular electrostatics;2016;GPUs and Boundary elements for biomolecular electrostatics. Journal of Open Source Software;43;https://doi.org/10.21105/joss.00043
27;Markus Raab;Elektra: universal framework to access configuration parameters;2016;1;44;https://doi.org/10.21105/joss.00044
28;Samuel Hinton;ChainConsumer;2016;1;45;https://doi.org/10.21105/joss.00045
29;Sebastian Bocquet, Faustin W. Carter;pygtc: beautiful parameter covariance plots (aka. Giant Triangle Confusograms);2016;1;46;https://doi.org/10.21105/joss.00046
30;Nicholas M Van Horn, Aaron Beveridge;MassMine: Your Access To Data;2016;1;50;https://doi.org/10.21105/joss.00050
31;Claudia Vitolo, Andrew Russell, Allan Tucker;rdefra: Interact with the UK AIR Pollution Database from DEFRA;2016;1;51;https://doi.org/10.21105/joss.00051
32;Claudia Vitolo, Peter Wells, Martin Dobias, Wouter Buytaert;fuse: An R package for ensemble Hydrological Modelling;2016;1;52;https://doi.org/10.21105/joss.00052
33;Rodrigo V Honorato;CAZy-parser a way to extract information from the Carbohydrate-Active enZYmes Database;2016;1;53;https://doi.org/10.21105/joss.00053
34;Timothée Giraud, Nicolas Lambert;cartography: Create and Integrate Maps in your R Workflow;2016;1;54;https://doi.org/10.21105/joss.00054
35;Dirk Eddelbuettel, Wush Wu;RcppCNPy: Read-Write Support for NumPy Files in R;2016;1;55;https://doi.org/10.21105/joss.00055
36;Claudia Vitolo;hddtools: Hydrological Data Discovery Tools;2017;2;56;https://doi.org/10.21105/joss.00056
37;Kyle Barbary;SEP: Source Extractor as a library;2016;1;58;https://doi.org/10.21105/joss.00058
38;Jonathan A Michaels, Hansjörg Scherberger;hebbRNN: A Reward-Modulated Hebbian Learning Rule for Recurrent Neural Networks;2016;1;60;https://doi.org/10.21105/joss.00060
39;Andy Yu Zhu Yao, David Kane;walkr: MCMC Sampling from Non-Negative Convex Polytopes;2017;2;61;https://doi.org/10.21105/joss.00061
40;Guillermo Hernández, Francisco Fernández;xpecgen: A program to calculate x-ray spectra generated in tungsten anodes;2016;1;62;https://doi.org/10.21105/joss.00062
41;Carl Ganz;rintrojs: A Wrapper for the Intro.js Library;2016;1;63;https://doi.org/10.21105/joss.00063
42;Kelly A. Kearney;ecopath_matlab: A Matlab-based implementation of the Ecopath food web algorithm;2017;2;64;https://doi.org/10.21105/joss.00064
43;Dean Attali;ezknitr: Avoid the Typical Working Directory Pain When Using 'knitr';2016;1;75;https://doi.org/10.21105/joss.00075
44;Paul Constantine, Ryan Howard, Andrew Glaws, Zachary Grey, Paul Diaz, Leslie Fletcher;Python Active-subspaces Utility Library;2016;1;79;https://doi.org/10.21105/joss.00079
45;Andrew J. Page, Sascha Steinbiss, Ben Taylor, Torsten Seemann, Jacqueline A. Keane;GFF3toEMBL: Preparing annotated assemblies for submission to EMBL;2016;1;80;https://doi.org/10.21105/joss.00080
46;Christos Theodoropoulos, Nikolaos Skoulikidis, Anastasios Stamou;Habfuzz: A tool to calculate the instream hydraulic habitat suitability using fuzzy logic and fuzzy Bayesian inference;2016;1;82;https://doi.org/10.21105/joss.00082
47;Manuel Holtgrewe, Dieter Beule;VCFPy: a Python 3 library with good support for both reading and writing VCF;2016;1;85;https://doi.org/10.21105/joss.00085
48;Danny Arends, Yang Li, Gudrun A. Brockmann, Ritsert C. Jansen, Robert W. Williams, Pjotr Prins;Correlation Trait Loci (CTL) mapping: phenotype network inference subject to genotype;2016;1;87;https://doi.org/10.21105/joss.00087
49;Andrew Halterman;Mordecai: Full Text Geoparsing and Event Geocoding;2017;2;91;https://doi.org/10.21105/joss.00091
50;Zachary M. Jones, Fridolin J. Linder;edarf: Exploratory Data Analysis using Random Forests;2016;1;92;https://doi.org/10.21105/joss.00092
51;Julien Ponge, Yannick Loiseau, Frédéric Le Mouël, Nicolas Stouls, Philippe Charrière, Daniel Petisme, Sylvain Desgrais, Franck Verrot;Eclipse Golo;2016;1;93;https://doi.org/10.21105/joss.00093
52;Jon Herman, Will Usher;SALib: An open-source Python library for Sensitivity Analysis;2017;2;97;https://doi.org/10.21105/joss.00097
53;Philipp H Boersch-Supan;rucrdtw: Fast time series subsequence search in R;2016;1;100;https://doi.org/10.21105/joss.00100
54;Kolby L. Weisenburger, Joseph Huehnerhoff, Emily M. Levesque, Philip Massey;acronym: An Automatic Reduction Pipeline for Astronomical Images;2017;2;102;https://doi.org/10.21105/joss.00102
55;Kevin DeSimone, Ariel Rokem, Keith Schneider;popeye: a population receptive field estimation tool;2016;1;103;https://doi.org/10.21105/joss.00103
56;Sean M Hughes;plater: Read, Tidy, and Display Data from Microtiter Plates;2016;Tidy;106;https://doi.org/10.21105/joss.00106
57;Rémi Rampin, Fernando Chirigati, Dennis Shasha, Juliana Freire, Vicky Steeves;ReproZip: The Reproducibility Packer;2016;1;107;https://doi.org/10.21105/joss.00107
58;Matthew J. Wakefield;SurvivalVolume: interactive volume threshold survival graphs;2016;1;111;https://doi.org/10.21105/joss.00111
59;Rene L Warren;RAILS and Cobbler: Scaffolding and automated finishing of draft genomes using long DNA sequences;2016;1;116;https://doi.org/10.21105/joss.00116
60;Andrew J. Page, Ben Taylor, Jacqueline A. Keane;Multilocus sequence typing by blast from de novo assemblies against PubMLST;2016;1;118;https://doi.org/10.21105/joss.00118
61;Seward Lee;finreportr: Financial Data from U.S. Securities and Exchange Commission;2016;1;119;https://doi.org/10.21105/joss.00119
62;Kivan Polimis, Ariel Rokem, Bryna Hazelton;Confidence Intervals for Random Forests in Python;2017;2;124;https://doi.org/10.21105/joss.00124
63;Brian McFee;resampy: efficient sample rate conversion in Python;2016;1;125;https://doi.org/10.21105/joss.00125
64;Clayton Norris, Philip Schrodt, John Beieler;PETRARCH2: Another Event Coding Program;2017;2;133;https://doi.org/10.21105/joss.00133
65;Michel Lang, Bernd Bischl, Dirk Surmann;batchtools: Tools for R to work on batch systems;2017;2;135;https://doi.org/10.21105/joss.00135
66;Benjamin Naecker, Niru Maheswaranathan, Surya Ganguli, Stephen Baccus;Pyret: A Python package for analysis of neurophysiology data;2017;2;137;https://doi.org/10.21105/joss.00137
67;Kristian Jensen, Joao G.R. Cardoso, Nikolaus Sonnenschein;Optlang: An algebraic modeling language for mathematical optimization;2017;2;139;https://doi.org/10.21105/joss.00139
68;Bryna J. Hazelton, Daniel C. Jacobs, Jonathan C. Pober, Adam P. Beardsley;pyuvdata: an interface for astronomical interferometeric datasets in python;2017;2;140;https://doi.org/10.21105/joss.00140
69;Jeff Goldsmith;vbvs.concurrent: Fitting Methods for the Functional Linear Concurrent Model;2016;1;141;https://doi.org/10.21105/joss.00141
70;Camille Scott;shmlast: An improved implementation of Conditional Reciprocal Best Hits with LAST and Python;2017;2;142;https://doi.org/10.21105/joss.00142
71;Nicolas CARPi, Alexander Minges, Matthieu Piel;eLabFTW: An open source laboratory notebook for research labs;2017;2;146;https://doi.org/10.21105/joss.00146
72;Antti Kamppi, Esko Pekkarinen, Janne Virtanen, Joni-Matti Määttä, Juho Järvinen, Lauri Matilainen, Mikko Teuho, Timo D. Hämäläinen;Kactus2: A graphical EDA tool built on the IP-XACT standard;2017;2;151;https://doi.org/10.21105/joss.00151
73;Matthew M McCormick, Mark L Palmeri, Jean-Christophe Fillion-Robin, Stephen Aylward;SlicerITKUltrasound: A 3D Slicer extension for scan conversion of B-mode and next-generation ultrasound imaging modalities;2017;2;153;https://doi.org/10.21105/joss.00153
74;Devarshi Ghoshal, Valerie Hendrix, William Fox, Sowmya Balasubhramanian, Lavanya Ramakrishnan;FRIEDA: Flexible Robust Intelligent Elastic Data Management Framework;2017;2;164;https://doi.org/10.21105/joss.00164
75;Benny Malengier, Pavol Kišon, James Tocknell, Claas Abert, Florian Bruckner, Marc-Antonio Bisotti;ODES: a high level interface to ODE and DAE solvers;2018;3;165;https://doi.org/10.21105/joss.00165
76;Pranay Seshadri, Geoffrey Parks;Effective-Quadratures (EQ): Polynomials for Computational Engineering Studies;2017;2;166;https://doi.org/10.21105/joss.00166
77;R Daniel Kortschak, Josh Bleecher Snyder, Manolis Maragkakis, David L Adelson;bíogo: a simple high-performance bioinformatics toolkit for the Go language;2017;2;167;https://doi.org/10.21105/joss.00167
78;R Daniel Kortschak, Brent S Pedersen, David L Adelson;bíogo/hts: high throughput sequence handling for the Go language;2017;2;168;https://doi.org/10.21105/joss.00168
79;Eduardo S M Alexandre;Limarka: making possible Brazilian students writing dissertation and thesis with Markdown;2017;2;169;https://doi.org/10.21105/joss.00169
80;Bradley C. Boehmke, Robert T. Montgomery, Jeffrey A. Ogden, Jason K. Freels;KraljicMatrix: An R package for implementing the Kraljic Matrix to strategically analyze a firm’s purchasing portfolio;2017;2;170;https://doi.org/10.21105/joss.00170
81;David Ardia, Kris Boudt, Jean-Philippe Gagnon-Fleury;RiskPortfolios: Computation of Risk-Based Portfolios in R;2017;2;171;https://doi.org/10.21105/joss.00171
82;David Ardia, Keven Bluteau;nse: Computation of Numerical Standard Errors in R;2017;2;172;https://doi.org/10.21105/joss.00172
83;Anthony Caravaggi;remBoot: An R package for Random Encounter Modelling;2017;2;176;https://doi.org/10.21105/joss.00176
84;Adam H Sparks, Tomislav Hengl, Andrew Nelson;GSODR: Global Summary Daily Weather Data in R;2017;2;177;https://doi.org/10.21105/joss.00177
85;Julia Niskanen, Elina Salmela, Hannes Lohi;AncesTrim - a tool for trimming complex pedigrees;2017;2;179;https://doi.org/10.21105/joss.00179
86;Miguel de Val-Borro, Martin A. Cordiner, Stefanie N. Milam, Steven B. Charnley;Cine: Line excitation by infrared fluorescence in cometary atmospheres;2017;2;182;https://doi.org/10.21105/joss.00182
87;Brandon LeBeau;highlightHTML: CSS Formatting of R Markdown Documents;2018;3;185;https://doi.org/10.21105/joss.00185
88;Carlos X. Hernández, Matthew P. Harrigan, Mohammad M. Sultan, Vijay S. Pande;MSMExplorer: Data Visualizations for Biomolecular Dynamics;2017;2;188;https://doi.org/10.21105/joss.00188
89;Stuart W D Grieve;spatial-efd: A spatial-aware implementation of elliptical Fourier analysis;2017;2;189;https://doi.org/10.21105/joss.00189
90;Charles Crabtree, Michael J. Nelson;Plotrr: Functions for making visual exploratory data analysis with nested data easier.;2017;2;190;https://doi.org/10.21105/joss.00190
91;Scott Chamberlain, Jeffrey W. Hollister;lawn: An R client for the Turf Javascript Library for Geospatial Analysis;2017;2;194;https://doi.org/10.21105/joss.00194
92;Bradley C. Boehmke, Jason K. Freels;learningCurve: An implementation of Crawford's and Wright's learning curve production functions;2017;2;202;https://doi.org/10.21105/joss.00202
93;Matti Pastell;Weave.jl: Scientific Reports Using Julia;2017;2;204;https://doi.org/10.21105/joss.00204
94;Leland McInnes, John Healy, Steve Astels;hdbscan: Hierarchical density based clustering;2017;2;205;https://doi.org/10.21105/joss.00205
95;Nicholas Cortale, Dylan McNamara;skedm: Empirical Dynamic Modeling;2017;2;207;https://doi.org/10.21105/joss.00207
96;Joshua Higgins, Violeta Holmes, Colin Venters;VCC: A framework for building containerized reproducible cluster software environments;2017;2;208;https://doi.org/10.21105/joss.00208
97;Chapman Siu;Ramble: Parser Combinator for R;2017;2;209;https://doi.org/10.21105/joss.00209
98;Geoff Boeing;OSMnx: A Python package to work with graph-theoretic OpenStreetMap street networks;2017;2;215;https://doi.org/10.21105/joss.00215
99;Gilbert Marzolin, Olivier Gimenez;Fitting a Gamma-Gompertz survival model to capture-recapture data collected on free-ranging animal populations;2018;3;216;https://doi.org/10.21105/joss.00216
100;Andre Schmeißer, Daniel Burkhart, Dominik Linn, Johannes Schnebele, Manuel Ettmüller, Simone Gramsch, Walter Arne;Ensight4Matlab: read, process, and write files in EnSight® Gold format from C++ or MATLAB®;2017;process;217;https://doi.org/10.21105/joss.00217
101;Luca Romano;YoungTab;2017;2;221;https://doi.org/10.21105/joss.00221
102;Davide Gerosa, Michele Vallisneri;filltex: Automatic queries to ADS and INSPIRE databases to fill LaTex bibliography;2017;2;222;https://doi.org/10.21105/joss.00222
103;Marie E. Rognes, Patrick E. Farrell, Simon W. Funke, Johan E. Hake, Molly M. C. Maleckar;cbcbeat: an adjoint-enabled framework for computational cardiac electrophysiology;2017;2;224;https://doi.org/10.21105/joss.00224
104;Adam H Sparks;getCRUCLdata: Use and Explore CRU CL v. 2.0 Climatology Elements in R;2017;2;230;https://doi.org/10.21105/joss.00230
105;Abhinav Tushar, Nicholas G Reich;flusight: interactive visualizations for infectious disease forecasts;2017;2;231;https://doi.org/10.21105/joss.00231
106;Kevin D Murray, Justin O Borevitz;libqcpp: A C++14 sequence quality control library;2017;2;232;https://doi.org/10.21105/joss.00232
107;R Daniel Kortschak, David L Adelson;bíogo/ncbi: interfaces to NCBI services for the Go language;2017;2;234;https://doi.org/10.21105/joss.00234
108;Dominik Moritz;Text detection in screen images with a Convolutional Neural Network;2017;2;235;https://doi.org/10.21105/joss.00235
109;Chris Mutel;Brightway: An open source framework for Life Cycle Assessment;2017;2;236;https://doi.org/10.21105/joss.00236
110;Sean M. Anderson, Bernardo S. Mendoza;SHGYield;2017;2;242;https://doi.org/10.21105/joss.00242
111;Andrew J. Page, Martin Hunt, Torsten Seemann, Jacqueline A. Keane;SaffronTree: Fast, reference-free pseudo-phylogenomic trees from reads or contigs.;2017;reference-free pseudo-phylogenomic trees from reads or contigs.. Journal of Open Source Software;243;https://doi.org/10.21105/joss.00243
112;Chris Mutel;Pandarus: GIS toolkit for regionalized life cycle assessment;2017;2;244;https://doi.org/10.21105/joss.00244
113;Benjamin J. Morgan;lattice_mc: A Python Lattice-Gas Monte Carlo Module;2017;2;247;https://doi.org/10.21105/joss.00247
114;Sven N Willner, Corinne Hartin, Robert Gieseke;pyhector: A Python interface for the simple climate model Hector;2017;2;248;https://doi.org/10.21105/joss.00248
115;Gaute Hope;IBCAO_py: A matplotlib library for using the International Bathymetric Chart of the Arctic Ocean with cartopy and matplotlib;2017;2;250;https://doi.org/10.21105/joss.00250
116;Offray Vladimir Luna Cárdenas;Grafoscopio: A moldable tool for literate computing and reproducible research;2017;2;251;https://doi.org/10.21105/joss.00251
117;John P Didion;xphyle: Extraordinarily simple file handling;2017;2;255;https://doi.org/10.21105/joss.00255
118;James P. Howard, II;Virtual Bumblebees Artificial Life Simulation;2017;2;256;https://doi.org/10.21105/joss.00256
119;Paul Francis Harrison;Varistran: Anscombe's variance stabilizing transformation for RNA-seq gene expression data;2017;2;257;https://doi.org/10.21105/joss.00257
120;Andreas Mayer;Noisyopt: A Python library for optimizing noisy functions.;2017;2;258;https://doi.org/10.21105/joss.00258
121;Dominique Makowski, Léo Dutriaux;Neuropsydia.py: A Python Module for Creating Experiments, Tasks and Questionnaires;2017;Tasks and Questionnaires. Journal of Open Source Software;259;https://doi.org/10.21105/joss.00259
122;Rory Nolan, Sergi Padilla-Parra;filesstrings: An R package for file and string manipulation;2017;2;260;https://doi.org/10.21105/joss.00260
123;Roger A Light;Mosquitto: server and client implementation of the MQTT protocol;2017;2;265;https://doi.org/10.21105/joss.00265
124;Danny Hermes;Helper for Bézier Curves, Triangles, and Higher Order Objects;2017;Triangles;267;https://doi.org/10.21105/joss.00267
125;Daniel Standage, Ali Aliyari, Lisa J. Cohen, Michael R. Crusoe, Tim Head, Luiz Irber, Shannon EK Joslin, N. B. Kingsley, Kevin D. Murray, Russell Neches, Camille Scott, Ryan Shean, Sascha Steinbiss, Cait Sydney, C. Titus Brown;khmer release v2.1: software for biological sequence analysis;2017;2;272;https://doi.org/10.21105/joss.00272
126;Sebastian Raschka;BioPandas: Working with molecular structures in pandas DataFrames;2017;2;279;https://doi.org/10.21105/joss.00279
127;Pi-Yueh Chuang, Lorena A. Barba;AmgXWrapper: An interface between PETSc and the NVIDIA AmgX library;2017;2;280;https://doi.org/10.21105/joss.00280
128;Alexander Bock, Emil Axelsson, Karl Bladin, Jonathas Costa, Gene Payne, Matthew Territo, Joakim Kilby, Masha Kuznetsova, Carter Emmart, Anders Ynnerman;OpenSpace: An open-source astrovisualization framework;2017;2;281;https://doi.org/10.21105/joss.00281
129;Bede Constantinides, David L. Robertson;Kindel: indel-aware consensus for nucleotide sequence alignments;2017;2;282;https://doi.org/10.21105/joss.00282
130;Lucas A. Wilson, John M. Fonner, Jason Allison, Oscar Esteban, Harry Kenya, Marshall Lerner;Launcher: A simple tool for executing high throughput computing workloads;2017;2;289;https://doi.org/10.21105/joss.00289
131;Daniele De Vecchi, Fabio Dell’Acqua, Daniel Aurelio Galeazzo;CLOOPSy - Copernicus Land cOver crOwdsourcing Platform for Sentinel-based mapping;2017;2;291;https://doi.org/10.21105/joss.00291
132;Bennett Kleinberg, Maximilian Mozes;Web-based text anonymization with Node.js: Introducing NETANOS (Named entity-based Text Anonymization for Open Science);2017;2;293;https://doi.org/10.21105/joss.00293
133;Nima S. Hejazi, Weixin Cai, Alan E. Hubbard;biotmle: Targeted Learning for Biomarker Discovery;2017;2;295;https://doi.org/10.21105/joss.00295
134;Taylor B Arnold;kerasR: R Interface to the Keras Deep Learning Library;2017;2;296;https://doi.org/10.21105/joss.00296
135;Alexander Lindsay, Kathryn Huff;Moltres: finite element based simulation of molten salt reactors;2018;3;298;https://doi.org/10.21105/joss.00298
136;Jason K. Moore, Antonie van den Bogert;opty: Software for trajectory optimization and parameter identification using direct collocation;2018;3;300;https://doi.org/10.21105/joss.00300
137;Anush Krishnan, Olivier Mesnard, Lorena A. Barba;cuIBM: a GPU-based immersed boundary method code;2017;2;301;https://doi.org/10.21105/joss.00301
138;Mark Padgham, Robin Lovelace, Maëlle Salmon, Bob Rudis;osmdata;2017;2;305;https://doi.org/10.21105/joss.00305
139;Natalia C. Clementi, Gilbert Forsyth, Christopher D. Cooper, Lorena A. Barba;PyGBe-LSPR: Python and GPU Boundary-integral solver for electrostatics;2017;2;306;https://doi.org/10.21105/joss.00306
140;Edmund Noel Dawe, Piti Ongmongkolkul, Giordon Stark;root_numpy: The interface between ROOT and NumPy;2017;2;307;https://doi.org/10.21105/joss.00307
141;Lincoln A. Mullen, Jordan Bratt;USAboundaries: Historical and Contemporary Boundaries of the United States of America;2018;3;314;https://doi.org/10.21105/joss.00314
142;Simon J. van Heeringen;genomepy: download genomes the easy way;2017;2;320;https://doi.org/10.21105/joss.00320
143;Sepand Haghighi;Pyrgg: Python Random Graph Generator;2017;2;331;https://doi.org/10.21105/joss.00331
144;Konstantin Stadler;The country converter coco - a Python package for converting country names between different classification schemes;2017;2;332;https://doi.org/10.21105/joss.00332
145;Maëlle Salmon, Sreekanth Vakacherla, Carles Milà, Julian D. Marshall, Cathryn Tonne;rtimicropem: an R package supporting the analysis of RTI MicroPEM output files;2017;2;333;https://doi.org/10.21105/joss.00333
146;Mathew W. McLean;RefManageR: Import and Manage BibTeX and BibLaTeX References in R;2017;2;338;https://doi.org/10.21105/joss.00338
147;P James Joyce;Lcopt - An interactive tool for creating fully parameterised Life Cycle Assessment (LCA) foreground models;2017;2;339;https://doi.org/10.21105/joss.00339
148;Ashlee N. Ford Versypt, Grace K. Harrell, Alexandra N. McPeak;ACEInhibPKPD: An open-source MATLAB app for a pharmacokinetic/pharmacodynamic model of ACE inhibition;2017;2;340;https://doi.org/10.21105/joss.00340
149;Francesco Strozzi, Raoul Jean Pierre Bonnal;Pipengine: an ultra light YAML-based pipeline execution engine;2017;2;341;https://doi.org/10.21105/joss.00341
150;Thomas Cokelaer, Juergen Hasch;'Spectrum': Spectral Analysis in Python;2017;2;348;https://doi.org/10.21105/joss.00348
151;Marcin Wojdyr;UglyMol: a WebGL macromolecular viewer focused on the electron density;2017;2;350;https://doi.org/10.21105/joss.00350
152;Juanjo Bazán, Oscar Gonzalez-Recio;Nimbus: a Ruby gem to implement Random Forest algorithms in a genomic selection context;2017;2;351;https://doi.org/10.21105/joss.00351
153;Thomas Cokelaer, Dimitri Desvillechabrol, Rachel Legendre, Mélissa Cardon;'Sequana': a Set of Snakemake NGS pipelines;2017;2;352;https://doi.org/10.21105/joss.00352
154;Sebastiano Ferraris, Dzhoshkun Ismail Shakir, Johannes Van Der Merwe, Willy Gsell, Jan Deprest, Tom Vercauteren;Bruker2nifti: Magnetic Resonance Images converter from Bruker ParaVision to Nifti format;2017;2;354;https://doi.org/10.21105/joss.00354
155;Nicholas Tierney;visdat: Visualising Whole Data Frames;2017;2;355;https://doi.org/10.21105/joss.00355
156;Adrian M. Price-Whelan, Daniel Foreman-Mackey;schwimmbad: A uniform interface to parallel processing pools in Python;2017;2;357;https://doi.org/10.21105/joss.00357
157;Alicia N Schep, Sarah K Kummerfeld;iheatmapr: Interactive complex heatmaps in R;2017;2;359;https://doi.org/10.21105/joss.00359
158;James Hiebert, Alex J. Cannon, Trevor Murdock, Stephen Sobie, Arelia Werner;ClimDown: Climate Downscaling in R;2018;3;360;https://doi.org/10.21105/joss.00360
159;Danilo Freire, Robert Myles McDonnell;prisonbrief: An R package that returns tidy data from the World Prison Brief website;2018;3;361;https://doi.org/10.21105/joss.00361
160;Rohan Dandage, Kausik Chakraborty;dms2dfe: Comprehensive Workflow for Analysis of Deep Mutational Scanning Data;2017;2;362;https://doi.org/10.21105/joss.00362
161;Philipp S Sommer;The psyplot interactive visualization framework;2017;2;363;https://doi.org/10.21105/joss.00363
162;Conrad Sanderson, Ryan Curtin;gmm_diag and gmm_full: C++ classes for multi-threaded Gaussian mixture models and Expectation-Maximisation;2017;2;365;https://doi.org/10.21105/joss.00365
163;Tanner C. Hobson, Mathieu Doucet, Ricardo M. Ferraz Leal;Django Remote Submission;2017;2;366;https://doi.org/10.21105/joss.00366
164;Marco van Hulten;ComPlot: Comparison Plotter to visually evaluate ocean model simulations;2017;2;368;https://doi.org/10.21105/joss.00368
165;Benjamin J. Morgan;bsym: A basic symmetry module;2017;2;370;https://doi.org/10.21105/joss.00370
166;Gabriele Rovigatti;Production Function Estimation in R: The prodest Package;2017;2;371;https://doi.org/10.21105/joss.00371
167;Sebastien Binet, Bastian Wieck, David Blyth, Emmanuel Busato, Michaël Ughetto, Peter Waller;Go-HEP: libraries for High Energy Physics analyses in Go;2017;2;372;https://doi.org/10.21105/joss.00372
168;Shane J Latham;array_split: Multi-dimensional array partitioning;2017;2;373;https://doi.org/10.21105/joss.00373
169;Jakob Bossek;mcMST: A Toolbox for the Multi-Criteria Minimum Spanning Tree Problem;2017;2;374;https://doi.org/10.21105/joss.00374
170;Pradeep Reddy Raamana, Stephen C. Strother;Histogram-weighted Networks for Feature Extraction, Connectivity and Advanced Analysis in Neuroscience;2017;Connectivity and Advanced Analysis in Neuroscience. Journal of Open Source Software;380;https://doi.org/10.21105/joss.00380
171;Pradeep Reddy Raamana, Stephen C. Strother;Python class defining a machine learning dataset ensuring key-based correspondence and maintaining integrity;2017;2;382;https://doi.org/10.21105/joss.00382
172;Sara Mahar, Matthew Bellis;hmis: A python tool to visualize and analyze HMIS data;2017;2;384;https://doi.org/10.21105/joss.00384
173;Adrian M. Price-Whelan;Gala: A Python package for galactic dynamics;2017;2;388;https://doi.org/10.21105/joss.00388
174;Benjamin W. L. Margolis;SimuPy: A Python framework for modeling and simulating dynamical systems;2017;2;396;https://doi.org/10.21105/joss.00396
175;Ben Lauwens;ResumableFunctions: C# sharp style generators for Julia.;2017;2;400;https://doi.org/10.21105/joss.00400
176;Travis Kessler, John Hunter Mack;ECNet: Large scale machine learning projects for fuel property prediction;2017;2;401;https://doi.org/10.21105/joss.00401
177;Michael Kane;bittrex: An R client for the Bittrex Crypto-Currency Exchange;2017;2;402;https://doi.org/10.21105/joss.00402
178;Yuxuan Zhang, Jean Bilheux;ImagingReso: A Tool for Neutron Resonance Imaging;2017;2;407;https://doi.org/10.21105/joss.00407
179;Andrew P Smith;UKCensusAPI: python and R interfaces to the nomisweb UK census data API;2017;2;408;https://doi.org/10.21105/joss.00408
180;Adam H Sparks, Mark Padgham, Hugh Parsonage, Keith Pembleton;bomrang: Fetch Australian Government Bureau of Meteorology Data in R;2017;2;411;https://doi.org/10.21105/joss.00411
181;Philip Stegmaier, Alexander Kel, Edgar Wingender;geneXplainR: An R interface for the geneXplain platform;2017;2;412;https://doi.org/10.21105/joss.00412
182;Haytham M. Fayek;MatDL: A Lightweight Deep Learning Library in MATLAB;2017;2;413;https://doi.org/10.21105/joss.00413
183;Tim Folsom, VP Nagraj;hei: Calculate Healthy Eating Index (HEI) Scores;2017;2;417;https://doi.org/10.21105/joss.00417
184;Bérénice Batut, Björn Grüning;ENASearch: A Python library for interacting with ENA's API;2017;Journal of Open Source Software;418;https://doi.org/10.21105/joss.00418
185;Andrew C. Heusser, Paxton C. Fitzpatrick, Campbell E. Field, Kirsten Ziman, Jeremy R. Manning;Quail: A Python toolbox for analyzing and plotting free recall data;2017;2;424;https://doi.org/10.21105/joss.00424
186;Paul B. Govan;BayesianNetwork: Interactive Bayesian Network Modeling and Analysis;2018;3;425;https://doi.org/10.21105/joss.00425
187;Vanessa Sochat;Singularity Registry: Open Source Registry for Singularity Images;2017;2;426;https://doi.org/10.21105/joss.00426
188;Carlos X. Hernández, Vijay S. Pande;MDEntropy: Information-Theoretic Analyses for Molecular Dynamics;2017;2;427;https://doi.org/10.21105/joss.00427
189;Nuno Fachada, Agostinho C. Rosa;micompm: A MATLAB/Octave toolbox for multivariate independent comparison of observations;2018;3;430;https://doi.org/10.21105/joss.00430
190;José Jiménez, Josep Ginebra;pyGPGO: Bayesian Optimization for Python;2017;2;431;https://doi.org/10.21105/joss.00431
191;Marcus D Bloice, Christof Stocker, Andreas Holzinger;Augmentor: An Image Augmentation Library for Machine Learning;2017;2;432;https://doi.org/10.21105/joss.00432
192;Lester James V. Miranda;PySwarms: a research toolkit for Particle Swarm Optimization in Python;2018;3;433;https://doi.org/10.21105/joss.00433
193;Shadia Mikhael, Calum Gray;Masks2Metrics (M2M): A Matlab Toolbox for Gold Standard Morphometrics;2018;3;436;https://doi.org/10.21105/joss.00436
194;Ilja Honkonen;High-Dimensional Integrator;2017;2;437;https://doi.org/10.21105/joss.00437
195;Jiao Y. Y. Lin, Fahima Islam, Max Kresh;Multiphonon: Phonon Density of States tools for Inelastic Neutron Scattering Powder Data;2018;3;440;https://doi.org/10.21105/joss.00440
196;Philippe Renard;Hytool: an open source matlab toolbox for the interpretation of hydraulic tests using analytical solutions;2017;2;441;https://doi.org/10.21105/joss.00441
197;Olivier Delestre, Frédéric Darboux, François James, Carine Lucas, Christian Laguerre, Stéphane Cordier;FullSWOF: Full Shallow-Water equations for Overland Flow;2017;2;448;https://doi.org/10.21105/joss.00448
198;Henry Senyondo, Benjamin D. Morris, Akash Goel, Andrew Zhang, Akshay Narasimha, Shivam Negi, David J. Harris, Deborah Gertrude Digges, Kapil Kumar, Amritanshu Jain, Kunal Pal, Kevinkumar Amipara, Ethan P. White;Retriever: Data Retrieval Tool;2017;2;451;https://doi.org/10.21105/joss.00451
199;Carl Boettiger;Generating CodeMeta Metadata for R Packages;2017;2;454;https://doi.org/10.21105/joss.00454
200;Sachin Chitta, Eitan Marder-Eppstein, Wim Meeussen, Vijay Pradeep, Adolfo Rodríguez Tsouroukdissian, Jonathan Bohren, David Coleman, Bence Magyar, Gennaro Raiola, Mathias Lüdtke, Enrique Fernandez Perdomo;ros_control: A generic and simple control framework for ROS;2017;2;456;https://doi.org/10.21105/joss.00456
201;Ai Okada, Kenichi Chiba, Hiroko Tanaka, Satoru Miyano, Yuichi Shiraishi;A framework for generating interactive reports for cancer genome analysis;2017;2;457;https://doi.org/10.21105/joss.00457
202;George Datseris;DynamicalBilliards.jl: An easy-to-use, modular and extendable Julia package for Dynamical Billiard systems in two dimensions.;2017;modular and extendable Julia package for Dynamical Billiard systems in two dimensions.. Journal of Open Source Software;458;https://doi.org/10.21105/joss.00458
203;Nathan Sheffield, VP Nagraj, Vince Reuter;simpleCache: R caching for reproducible, distributed, large-scale projects;2018;distributed;463;https://doi.org/10.21105/joss.00463
204;Markus J Ankenbrand, Simon Pfaff, Niklas Terhoeven, Musga Qureischi, Maik Gündel, Clemens L. Weiß, Thomas Hackl, Frank Förster;chloroExtractor: extraction and assembly of the chloroplast genome from whole genome shotgun data;2018;3;464;https://doi.org/10.21105/joss.00464
205;Daniel Suess, Milan Holzäpfel;mpnum: A matrix product representation library for Python;2017;2;465;https://doi.org/10.21105/joss.00465
206;Dominique Makowski;The psycho Package: an Efficient and Publishing-Oriented Workflow for Psychological Science;2018;3;470;https://doi.org/10.21105/joss.00470
207;Mark Padgham, Richard Ellison;bikedata;2017;2;471;https://doi.org/10.21105/joss.00471
208;Anton Rodenhauser, Wilson W Good, Brian Zenger, Jess Tate, Kedar Aras, Brett Burton, Rob S. MacLeod;PFEIFER: Preprocessing Framework for Electrograms Intermittently Fiducialized from Experimental Recordings;2018;3;472;https://doi.org/10.21105/joss.00472
209;Steve Lockley, Claudio Benghi, Martin Černý;Xbim.Essentials: a library for interoperable building information applications;2017;2;473;https://doi.org/10.21105/joss.00473
210;David J Harris;An easy-to-use p5.js 3D object picker for visual artists;2017;2;475;https://doi.org/10.21105/joss.00475
211;James P. Howard, II;Phonetic Algorithms in R;2018;3;480;https://doi.org/10.21105/joss.00480
212;Pablo G Garay, Jorge A Vila, Osvaldo A Martin;CheSweet: An application to predict glycan’s chemicals shifts;2018;3;488;https://doi.org/10.21105/joss.00488
213;Parker Owan, Cameron Devine, W. Tony Piaskowy;CoreRobotics: An object-oriented C++ library with cross-language wrappers for cross-platform robot control;2018;3;489;https://doi.org/10.21105/joss.00489
214;Björn Dahlgren;pyodesys: Straightforward numerical integration of ODE systems from Python;2018;3;490;https://doi.org/10.21105/joss.00490
215;Pamphile T. Roy, Sophie Ricci, Romain Dupuis, Robin Campet, Jean-Christophe Jouhaud, Cyril Fournier;BATMAN: Statistical analysis for expensive computer codes made easy;2018;3;493;https://doi.org/10.21105/joss.00493
216;David J. Mulryne, John W. Ronayne;PyTransport: A Python package for the calculation of inflationary correlation functions;2018;3;494;https://doi.org/10.21105/joss.00494
217;René L. Warren;Visualizing genome synteny with xmatchview;2018;3;497;https://doi.org/10.21105/joss.00497
218;Jeongseok Lee, Michael X. Grey, Sehoon Ha, Tobias Kunz, Sumit Jain, Yuting Ye, Siddhartha S. Srinivasa, Mike Stilman, C. Karen Liu;DART: Dynamic Animation and Robotics Toolkit;2018;3;500;https://doi.org/10.21105/joss.00500
219;William D McGinnis, Chapman Siu, Andre S, Hanyu Huang;Category Encoders: a scikit-learn-contrib package of transformers for encoding categorical data;2018;3;501;https://doi.org/10.21105/joss.00501
220;Roderick Bovee, Nick Greenfield;Finch: a tool adding dynamic abundance filtering to genomic MinHashing;2018;3;505;https://doi.org/10.21105/joss.00505
221;Kevin M Moerman;GIBBON: The Geometry and Image-Based Bioengineering add-On;2018;3;506;https://doi.org/10.21105/joss.00506
222;Sam Albers;tidyhydat: Extract and Tidy Canadian Hydrometric Data;2017;2;511;https://doi.org/10.21105/joss.00511
223;Jeremy R. Coyle, Nima S. Hejazi;origami: A Generalized Framework for Cross-Validation in R;2018;3;512;https://doi.org/10.21105/joss.00512
224;Sinan Shi, David Pérez-Suárez, Steve Harris, Niall MacCallum, David Brealey, Mervyn Singer, James Hetherington;Critical care data processing tools;2017;2;513;https://doi.org/10.21105/joss.00513
225;Stephanie J. Spielman;phyphy: Python package for facilitating the execution and parsing of HyPhy standard analyses;2018;3;514;https://doi.org/10.21105/joss.00514
226;Benjamin Allévius;scanstatistics: space-time anomaly detection using scan statistics;2018;3;515;https://doi.org/10.21105/joss.00515
227;Robert Gieseke, Sven N Willner, Matthias Mengel;Pymagicc: A Python wrapper for the simple climate model MAGICC;2018;3;516;https://doi.org/10.21105/joss.00516
228;R Daniel Kortschak;arrgh: a Go interface to the OpenCPU R server system;2018;3;517;https://doi.org/10.21105/joss.00517
229;Vanessa Sochat;The Experiment Factory: Reproducible Experiment Containers;2018;3;521;https://doi.org/10.21105/joss.00521
230;Taha Zaghdoudi;ivporbit:An R package to estimate the instrumental variables probit model;2018;3;523;https://doi.org/10.21105/joss.00523
231;Niklas Terhoeven, Jörg Schultz, Thomas Hackl;reper: Genome-wide identification, classification and quantification of repetitive elements without an assembled genome;2018;classification and quantification of repetitive elements without an assembled genome. Journal of Open Source Software;527;https://doi.org/10.21105/joss.00527
232;Jakob Bossek;grapherator: A Modular Multi-Step Graph Generator;2018;3;528;https://doi.org/10.21105/joss.00528
233;Nicola Demo, Marco Tezzele, Gianluigi Rozza;PyDMD: Python Dynamic Mode Decomposition;2018;3;530;https://doi.org/10.21105/joss.00530
234;Björn Dahlgren;pyneqsys: Solve symbolically defined systems of non-linear equations numerically;2018;3;531;https://doi.org/10.21105/joss.00531
235;Matthew Pitkin;psrqpy: a python interface for querying the ATNF pulsar catalogue;2018;3;538;https://doi.org/10.21105/joss.00538
236;Sébastien Boisgérault;Bitstream – Binary Data for Humans;2018;3;541;https://doi.org/10.21105/joss.00541
237;Joshua T Karpel;IDESolver: a general purpose integro-differential equation solver;2018;3;542;https://doi.org/10.21105/joss.00542
238;Aleksey Bilogur;Missingno: a missing data visualization suite;2018;3;547;https://doi.org/10.21105/joss.00547
239;Robert Reinecke;G³M-f a global gradient-based groundwater modelling framwork;2018;3;548;https://doi.org/10.21105/joss.00548
240;William Michael Landau;The drake R package: a pipeline toolkit for reproducibility and high-performance computing;2018;3;550;https://doi.org/10.21105/joss.00550
241;Matilda Åslin, Monika Brandt, Johan Dahlberg;CheckQC: Quick quality control of Illumina sequencing runs;2018;3;556;https://doi.org/10.21105/joss.00556
242;Julia Wrobel;register: Registration for Exponential Family Functional Data;2018;3;557;https://doi.org/10.21105/joss.00557
243;Pi-Yueh Chuang, Olivier Mesnard, Anush Krishnan, Lorena A. Barba;PetIBM: toolbox and applications of the immersed-boundary method on distributed-memory architectures;2018;3;558;https://doi.org/10.21105/joss.00558
244;Björn Dahlgren;ChemPy: A package useful for chemistry written in Python;2018;3;565;https://doi.org/10.21105/joss.00565
245;Chi-Lin Yu, Ching-Fan Sheu;EFAshiny: An User-Friendly Shiny Application for Exploratory Factor Analysis;2018;3;567;https://doi.org/10.21105/joss.00567
246;Pierre Morel;Gramm: grammar of graphics plotting in Matlab;2018;3;568;https://doi.org/10.21105/joss.00568
247;Ian H. Bell, Bradley Alpert, Lucas Bouck;ChebTools: C++11 (and Python) tools for working with Chebyshev expansions;2018;3;569;https://doi.org/10.21105/joss.00569
248;Stefanie E. LaZerte, Sam Albers;weathercan: Download and format weather data from Environment and Climate Change Canada;2018;3;571;https://doi.org/10.21105/joss.00571
249;Peter Laurinec;TSrepr R package: Time Series Representations;2018;3;577;https://doi.org/10.21105/joss.00577
250;Michael Hirsch;PyMap3D: 3-D coordinate conversions for terrestrial and geospace environments;2018;3;580;https://doi.org/10.21105/joss.00580
251;James Tocknell;h5preserve: Thin wrapper around h5py, inspired by camel;2018;inspired by camel. Journal of Open Source Software;581;https://doi.org/10.21105/joss.00581
252;John Mount, Nina Zumel;The vtreat R package: a statistically sound data processor for predictive modeling;2018;3;584;https://doi.org/10.21105/joss.00584
253;Donald E. Willcox, Michael Zingale;pynucastro: an interface to nuclear reaction rates and code generator for reaction network equations;2018;3;588;https://doi.org/10.21105/joss.00588
254;Edward W. Doddridge, Alexey Radul;Aronnax: An idealised isopycnal ocean model;2018;3;592;https://doi.org/10.21105/joss.00592
255;Ignacio Ferrés, Gregorio Iraola;Phylen: automatic phylogenetic reconstruction using the EggNOG database;2018;3;593;https://doi.org/10.21105/joss.00593
256;Michael Hucka;Nostril: A nonsense string evaluator written in Python;2018;3;596;https://doi.org/10.21105/joss.00596
257;Sander Wahls, Shrinivas Chimmalgi, Peter J Prins;FNFT: A Software Library for Computing Nonlinear Fourier Transforms;2018;3;597;https://doi.org/10.21105/joss.00597
258;George Datseris;DynamicalSystems.jl: A Julia software library for chaos and nonlinear dynamics;2018;3;598;https://doi.org/10.21105/joss.00598
259;Mike Innes;Flux: Elegant machine learning with Julia;2018;3;602;https://doi.org/10.21105/joss.00602
260;Andreas Bender, Alexander Bauer;coalitions: Coalition probabilities in multi-party democracies;2018;3;606;https://doi.org/10.21105/joss.00606
261;Sergio Ibarra-Espinosa, Daniel Schuch, Edmilson Dias de Freitas;eixport: An R package to export emissions to atmospheric models;2018;3;607;https://doi.org/10.21105/joss.00607
262;Giuseppe Cardellini, Chris Mutel;Temporalis: an open source software for dynamic LCA;2018;3;612;https://doi.org/10.21105/joss.00612
263;Grega Vrbančič, Lucija Brezočnik, Uroš Mlakar, Dušan Fister, Iztok Fister Jr.;NiaPy: Python microframework for building nature-inspired algorithms;2018;3;613;https://doi.org/10.21105/joss.00613
264;Patrick K Mogensen, Asbjørn N Riseth;Optim: A mathematical optimization package for Julia;2018;3;615;https://doi.org/10.21105/joss.00615
265;Daniel Amsel, André Billion, Andreas Vilcinskas, Frank Förster;microPIECE - microRNA pipeline enhanced by CLIP experiments;2018;3;616;https://doi.org/10.21105/joss.00616
266;Louise A. Dennis;The MCAPL Framework including the Agent Infrastructure Layer an Agent Java Pathfinder;2018;3;617;https://doi.org/10.21105/joss.00617
267;Dave Hudak, Doug Johnson, Alan Chalker, Jeremy Nicklas, Eric Franz, Trey Dockendorf, Brian L. McMichael;Open OnDemand: A web-based client portal for HPC centers;2018;3;622;https://doi.org/10.21105/joss.00622
268;Joe Thorley;checkr: An R package for Assertive Programming;2018;3;624;https://doi.org/10.21105/joss.00624
269;Konstantinos Vantas;hydroscoper: R interface to the Greek National Data Bank for Hydrological and Meteorological Information;2018;3;625;https://doi.org/10.21105/joss.00625
270;Andrew P Smith;humanleague: a C++ microsynthesis package with R and python interfaces;2018;3;629;https://doi.org/10.21105/joss.00629
271;Ryan C Brown, Joshua Moser;HSImage: A Python and C++ library to allow interaction with ENVI-BIL hyperspectral images;2018;3;630;https://doi.org/10.21105/joss.00630
272;Rory Nolan, Sergi Padilla-Parra;ijtiff: An R package providing TIFF I/O for ImageJ users;2018;3;633;https://doi.org/10.21105/joss.00633
273;Sebastian Raschka;MLxtend: Providing machine learning and data science utilities and extensions to Python’s scientific computing stack;2018;3;638;https://doi.org/10.21105/joss.00638
274;Mordechai (Moti) Ben-Ari;LearnSAT: A SAT Solver for Education;2018;3;639;https://doi.org/10.21105/joss.00639
275;Casey Youngflesh;MCMCvis: Tools to Visualize, Manipulate, and Summarize MCMC Output;2018;Manipulate;640;https://doi.org/10.21105/joss.00640
276;Alessandro Gasparini;comorbidity: An R package for computing comorbidity scores;2018;3;648;https://doi.org/10.21105/joss.00648
277;Caley Finn;OpenEPSim: An Open Exclusion Process Simulation Tool;2018;3;650;https://doi.org/10.21105/joss.00650
278;Michael Hucka;Spiral: splitters for identifiers in source code files;2018;3;653;https://doi.org/10.21105/joss.00653
279;Lincoln A. Mullen, Kenneth Benoit, Os Keyes, Dmitry Selivanov, Jeffrey Arnold;Fast, Consistent Tokenization of Natural Language Text;2018;Consistent Tokenization of Natural Language Text. Journal of Open Source Software;655;https://doi.org/10.21105/joss.00655
280;Yuan Tang;autoplotly: An R package for automatic generation of interactive visualizations for statistical results;2018;3;657;https://doi.org/10.21105/joss.00657
281;Brian E. J. Rose;CLIMLAB: a Python toolkit for interactive, process-oriented climate modeling;2018;process-oriented climate modeling. Journal of Open Source Software;659;https://doi.org/10.21105/joss.00659
282;Amelia Ortiz-Gil, Jordi Burguet-Castell;Mapelia and friends: create 3D models from maps;2018;3;660;https://doi.org/10.21105/joss.00660
283;Nicola Demo, Marco Tezzele, Gianluigi Rozza;EZyRB: Easy Reduced Basis method;2018;3;661;https://doi.org/10.21105/joss.00661
284;Arjun Chennu;MicroBenthos: a modeling framework for microbial benthic ecology;2018;3;674;https://doi.org/10.21105/joss.00674
285;Mikkel Meyer Andersen;malan: MAle Lineage ANalysis;2018;3;684;https://doi.org/10.21105/joss.00684
286;Jasper Ginn;qualtRics: retrieve survey data using the Qualtrics API;2018;3;690;https://doi.org/10.21105/joss.00690
287;Boaz Blankrot, Clemens Heitzinger;ParticleScattering: Solving and optimizing multiple-scattering problems in Julia;2018;3;691;https://doi.org/10.21105/joss.00691
288;Júlio Hoffimann1;GeoStats.jl – High-performance geostatistics in Julia;2018;3;692;https://doi.org/10.21105/joss.00692
289;Jacob Anhøj;qicharts2: Quality Improvement Charts for R;2018;3;699;https://doi.org/10.21105/joss.00699
290;Sebastian S Zeki;EndoMineR for the extraction of endoscopic and associated pathology data from medical reports;2018;3;701;https://doi.org/10.21105/joss.00701
291;Karl Wette, Reinhard Prix, David Keitel, Matthew Pitkin, Christoph Dreissigacker, John T. Whelan, Paola Leaci;OctApps: a library of Octave functions for continuous gravitational-wave data analysis;2018;3;707;https://doi.org/10.21105/joss.00707
292;Shahriar Iravanian;fib-tf: A TensorFlow-based Cardiac Electrophysiology Simulator;2018;3;719;https://doi.org/10.21105/joss.00719
293;William D Pearse, Scott A Chamberlain;Suppdata: Downloading Supplementary Data from Published Manuscripts;2018;3;721;https://doi.org/10.21105/joss.00721
294;Sepand Haghighi, Masoomeh Jasemi, Shaahin Hessabi, Alireza Zolanvari;PyCM: Multiclass confusion matrix library in Python;2018;3;729;https://doi.org/10.21105/joss.00729
295;Stephen D. Turner;qqman: an R package for visualizing GWAS results using Q-Q and manhattan plots;2018;3;731;https://doi.org/10.21105/joss.00731
296;Ryan G. James, Christopher J. Ellison, James P. Crutchfield;dit: a Python package for discrete information theory;2018;3;738;https://doi.org/10.21105/joss.00738
297;James Bourbeau, Zigfried Hampel-Arias;PyUnfold: A Python package for iterative unfolding;2018;3;741;https://doi.org/10.21105/joss.00741
298;Richard Izzo, David Steinman, Simone Manini, Luca Antiga;The Vascular Modeling Toolkit: A Python Library for the Analysis of Tubular Structures in Medical Images;2018;3;745;https://doi.org/10.21105/joss.00745
299;Mikkel Meyer Andersen;Discrete Laplace mixture model with applications in forensic genetics;2018;3;748;https://doi.org/10.21105/joss.00748
300;Hajk-Georg Drost;Philentropy: Information Theory and Distance Quantification with R;2018;3;765;https://doi.org/10.21105/joss.00765
301;Adam J Jackson, Alex M Ganose, Anna Regoutz, Russell G. Egdell, David O Scanlon;Galore: Broadening and weighting for simulation of photoelectron spectroscopy;2018;3;773;https://doi.org/10.21105/joss.00773