Editor usage stats

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Usage statistics of OSM editors here …

Info about this page

Note that most plots on this page include at least one logarithmic scale. This may be unfamiliar to some readers (seeing usually linear scales).

Remark on updates. The information on this page has been compiled by Oli-Wan. It will occasionally be updated, but I cannot promise to maintain regular intervals. If you think another update is past due, please remind me. See this page's history for the last update.

This page has been thoroughly redesigned in mid-2012. If you are looking for the older raw statistics, check the archive page.

Market share of various editors over time

The "market share" of an OSM editor can be defined using different weights: the number of changesets created, the number of its users, or the number of edits actually made, and various others (including combinations of the former). Each definition has its advantages and disadvantages, but each also tells something about how a given editor is (or was) used.

In the tables below, the market shares of various editors according to the aforementioned three definitions are presented, broken up into years. For the corresponding plots, the time resolution is six months.

Methodology

If you are not interested in technical details, feel free to skip this section.

All the information presented on this page is extracted from changesets-yymmdd.osm.bz2 files. An editor is identified by the created_by tag of each changeset. (This implies that 2009 data cover only the time following the startup of API 0.6, when changesets - and changeset metadata - were introduced, and that statistics for earlier years cannot be generated in this simple way.)

In all the tables, 2014 means "2014 so far". For obvious reasons, full-year statistics cannot yet be generated.

The tables and plots show, respectively, the number of changesets created using an editor (a simple counting exercise in processing the changesets file), the number of total edits made with it (computed by summing up the num_changes of each changeset), and the number of distinct user IDs (uids) seen in association with each editor. The latter is assumed to correspond to the number of actual users/mappers (though some may use more than one account, which is not considered here). The data are resolved by years for the tables and by half years for the plots. Market shares (as percentages) are calculated with respect to the overall sums.

In the "distinct uids" table, mappers editing with more than one editor will be counted once for each editor. This double-counting implies that the sum of all is not equal to the total number of mappers editing in a given period of time. The "market shares" in the corresponding plot are, however, calculated in relation to that number. Therefore, the market shares do not add up to one; instead, their interpretation is as follows: if an editor has, say, a market share of 0.5 in a given period of time, 50 % of all mappers have used that particular editor at least once in that period - but some of them may have used other editors as well. For example, in the first half of 2012, Potlatch 2 and JOSM had respective market shares of roughly 85 % and 36 %, the sum of which already largely exceeds 100 %.

The double-counting of users could in principle be remedied by "splitting" users according to some sort of weight, for example, the number of changesets created with each editor, but that would alter the definition and distort the distribution, diluting the desired information about the user basis. Therefore, such is not done here.

Observations

These are some conclusions to be drawn from the numbers below. The list is by no means exclusive.

  • It is obvious that according to the number of edits, JOSM has never been challenged as the number one editor (the only nominal exception in 2009 being a special case, when huge numbers of superfluous tags from the TIGER import were removed by woodpeck_fixbot using osmtools, and with changesets from before API 0.6 that can not be associated with any editor). JOSM's dominance is not so clear in terms of changesets created - this has to do with Potlatch 1 creating zillions of empty changesets in live editing mode, but also with the fact that Potlatch users tend to make smaller changesets on average, and iD users creating even smaller changesets than Potlatch 2 users.
  • Also, the common notion that the main online editors on the OSM website reach the largest number of users, is confirmed; with that role initially held by Potlatch 1, then Potlatch 2 and now shifting to iD. In fact, the number of actual edits made with Potlatch 1 has gradually decreased with increasing popularity of Potlatch 2, dropping to the permille level in 2012. However, the popularity of Potlatch 2 has so far been less affected by the introduction of iD than the popularity of Potlatch 1 when Potlatch 2 went live. As of early 2014, iD has twice the number of users Potlatch 2 has and created four times the number of changesets, but there are still more edits made with Potlatch 2 than with iD.
  • Potlatch 1 is still employed by a significant number of mappers (745 in 2013), but the corresponding number of edits is marginal.
  • It turns out that Merkaartor, often regarded as one of the "big three" editors and seen as a serious competitor to JOSM, does not really fill that role. Merkaartor's market share has never exceeded 2 percent in terms of edits and 5 percent in terms of changesets; its user base has at no time been comparable to that of JOSM and has been continuously declining for years. This may be related to the editor's stalled development.
  • Most other editors have never reached percent-level market shares (the exceptions being import scripts, used by only few users but editing large amounts of data).
  • Recently, several smartphone applications have obtained a non-negligible audience (making very few actual edits per changesets, which of course reflects their goal of filling the niche for quickly editing, like entering the opening hours of some POI). These include Go Map!!, Vespucci, Pushpin, POI+, and the navigation tool OsmAnd.
  • Another mobile application takes a somewhat surprising position in the tables: MapStalt Mini by Microsoft. Quickly dumped onto the market in 2011 (not even able to write proper created_by tag, and unmaintained since the first release), MapStalt has for several years reached more users than most other mobile editors. The numbers of changesets and edits made by these users are, however, negligible; most users seem to only have tried the program once. But even the large number of (one-time) users is surprising, as the target system Windows Phone has never reached serious market shares, and one would hardly expect an above-average interest in a free/open/crowdsourced project from users of Microsoft's products.
  • JOSM's (relative) market share in terms of users has continually decreased over the past years (unlike its market shares by changesets and edits, which have remained roughly constant). The total number of all mappers has grown, but the number of JOSM users seems to have saturated. In other words: a growing percentage of users has been using exclusively one of the online editors and not been converted to JOSM users.
  • Considering the user statistics, one should keep in mind that these are fully unbiased counts. Every mapper who has made at least one changeset with an editor is counted as a user of that editor. Therefore the analysis distinguishes neither between one-time and regular mappers nor between main and secondary/auxiliary editors.

Tables and figures

by number of changesets

by number of changesets
editor 2009 2010 2011 2012 2013 2014
iD 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00001226853 1 226 853 (23.3%) 00003101656 3 101 656 (46.0%)
JOSM 00001201159 1 201 159 (42.3%) 00001759942 1 759 942 (53.0%) 00001976916 1 976 916 (57.6%) 00002398347 2 398 347 (56.8%) 00002542599 2 542 599 (48.4%) 00002244448 2 244 448 (33.3%)
Potlatch 2 00000000000 - 00000058154 58 154 (1.8%) 00000940064 940 064 (27.4%) 00001340965 1 340 965 (31.7%) 00001145112 1 145 112 (21.8%) 00001145202 1 145 202 (17.0%)
Merkaartor 00000136959 136 959 (4.8%) 00000172561 172 561 (5.2%) 00000149106 149 106 (4.3%) 00000111796 111 796 (2.6%) 00000076125 76 125 (1.4%) 00000054339 54 339 (0.8%)
Vespucci 00000000673 673 (0.0%) 00000004141 4 141 (0.1%) 00000009036 9 036 (0.3%) 00000017380 17 380 (0.4%) 00000038902 38 902 (0.7%) 00000048017 48 017 (0.7%)
Go Map!! 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000045404 45 404 (0.9%) 00000044957 44 957 (0.7%)
Pushpin 00000000000 - 00000000000 - 00000000000 - 00000010060 10 060 (0.2%) 00000063176 63 176 (1.2%) 00000030187 30 187 (0.4%)
OsmAnd 00000000000 - 00000004784 4 784 (0.1%) 00000011445 11 445 (0.3%) 00000007284 7 284 (0.2%) 00000009771 9 771 (0.2%) 00000011462 11 462 (0.2%)
Potlatch 0.x/1.x 00001073205 1 073 205 (37.8%) 00001068396 1 068 396 (32.2%) 00000215062 215 062 (6.3%) 00000052644 52 644 (1.2%) 00000011126 11 126 (0.2%) 00000005867 5 867 (0.1%)
ArcGIS Editor 00000000000 - 00000000315 315 (0.0%) 00000003809 3 809 (0.1%) 00000010193 10 193 (0.2%) 00000005007 5 007 (0.1%) 00000005807 5 807 (0.1%)
FreieTonne 00000009576 9 576 (0.3%) 00000009717 9 717 (0.3%) 00000005941 5 941 (0.2%) 00000005158 5 158 (0.1%) 00000001658 1 658 (0.0%) 00000001171 1 171 (0.0%)
iLOE 00000001325 1 325 (0.0%) 00000004236 4 236 (0.1%) 00000014393 14 393 (0.4%) 00000016954 16 954 (0.4%) 00000004043 4 043 (0.1%) 00000001085 1 085 (0.0%)
osmapis 00000000000 - 00000000000 - 00000000000 - 00000014272 14 272 (0.3%) 00000001684 1 684 (0.0%) 00000001052 1 052 (0.0%)
PythonOsmApi 00000002332 2 332 (0.1%) 00000017117 17 117 (0.5%) 00000008182 8 182 (0.2%) 00000007531 7 531 (0.2%) 00000010816 10 816 (0.2%) 00000000793 793 (0.0%)
OpenMaps 00000000000 - 00000008987 8 987 (0.3%) 00000001745 1 745 (0.1%) 00000003463 3 463 (0.1%) 00000000775 775 (0.0%) 00000000436 436 (0.0%)
Redaction bot 00000000000 - 00000000000 - 00000000000 - 00000141693 141 693 (3.4%) 00000001696 1 696 (0.0%) 00000000272 272 (0.0%)
osmtools 00000010446 10 446 (0.4%) 00000005121 5 121 (0.2%) 00000000312 312 (0.0%) 00000000505 505 (0.0%) 00000001207 1 207 (0.0%) 00000000198 198 (0.0%)
Mapzen 00000005659 5 659 (0.2%) 00000030745 30 745 (0.9%) 00000010119 10 119 (0.3%) 00000001417 1 417 (0.0%) 00000000363 363 (0.0%) 00000000194 194 (0.0%)
bulk_upload.py 00000062064 62 064 (2.2%) 00000011889 11 889 (0.4%) 00000001317 1 317 (0.0%) 00000000319 319 (0.0%) 00000000045 45 (0.0%) 00000000162 162 (0.0%)
upload.py 00000035808 35 808 (1.3%) 00000000830 830 (0.0%) 00000000281 281 (0.0%) 00000000443 443 (0.0%) 00000000292 292 (0.0%) 00000000146 146 (0.0%)
WebDRI 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000011442 11 442 (0.2%) 00000000018 18 (0.0%)
OSMPhpLib[1] 00000000000 - 00000000000 - 00000000000 - 00000009201 9 201 (0.2%) 00000000000 - 00000000000 -
Roy 00000000000 - 00000000000 - 00000000000 - 00000008660 8 660 (0.2%) 00000002525 2 525 (0.0%) 00000000000 -
KMLManager 00000017443 17 443 (0.6%) 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000000 -
FindvejBot 00000000293 293 (0.0%) 00000117489 117 489 (3.5%) 00000048021 48 021 (1.4%) 00000018884 18 884 (0.4%) 00000000023 23 (0.0%) 00000000000 -
osmitter 00000000000 - 00000000000 - 00000009663 9 663 (0.3%) 00000000001 1 (0.0%) 00000000007 7 (0.0%) 00000000000 -
Other 00000010772 10 772 (0.4%) 00000029249 29 249 (0.9%) 00000018481 18 481 (0.5%) 00000040656 40 656 (1.0%) 00000049862 49 862 (0.9%) 00000038589 38 589 (0.6%)
not specified 00000274989 274 989 (9.7%) 00000015686 15 686 (0.5%) 00000009836 9 836 (0.3%) 00000006044 6 044 (0.1%) 00000004007 4 007 (0.1%) 00000006759 6 759 (0.1%)

OSM editor marketshares by changesets.svg

by number of users (distinct uids)

by number of uids
editor 2009 2010 2011 2012 2013 2014
iD 000000000 - 000000000 - 000000000 - 000000000 - 000056176 56 176 000108496 108 496
Potlatch 2 000000000 - 000003787 3 787 000066586 66 586 000101943 101 943 000072649 72 649 000026213 26 213
JOSM 000013753 13 753 000018794 18 794 000020227 20 227 000023439 23 439 000023135 23 135 000019960 19 960
Go Map!! 000000000 - 000000000 - 000000000 - 000000000 - 000002205 2 205 000001915 1 915
OsmAnd 000000000 - 000000192 192 000000645 645 000001129 1 129 000001653 1 653 000001742 1 742
Vespucci 000000058 58 000000237 237 000000460 460 000000957 957 000001622 1 622 000001588 1 588
rosemary[2] 000000000 - 000000266 266 000001137 1 137 000001051 1 051 000001532 1 532 000001446 1 446
Pushpin 000000000 - 000000000 - 000000000 - 000000389 389 000000998 998 000001016 1 016
OSMPOIEditor aka POI+ 000000000 - 000000000 - 000000000 - 000000336 336 000000571 571 000000562 562
Merkaartor 000002262 2 262 000002784 2 784 000002193 2 193 000001687 1 687 000001090 1 090 000000545 545
Potlatch 0.x/1.x 000059540 59 540 000068272 68 272 000026327 26 327 000013034 13 034 000000745 745 000000461 461
MapStalt Mini[3] 000000000 - 000000000 - 000000577 577 000001183 1 183 000001851 1 851 000000370 370
OsmHydrant / http://yapafo.net v0.3 000000000 - 000000000 - 000000000 - 000000000 - 000000001 1 000000266 266
OpenMaps 000000000 - 000000610 610 000000682 682 000000977 977 000000386 386 000000197 197
Osmose Editor 000000000 - 000000000 - 000000000 - 000000000 - 000000000 - 000000121 121
Osmose Raw Editor aka RawEdit 000000093 93 000000075 75 000000100 100 000000181 181 000000147 147 000000112 112
My Opening Hours 000000000 - 000000000 - 000000000 - 000000000 - 000000089 89 000000083 83
Level0 v1.1 000000000 - 000000000 - 000000000 - 000000000 - 000000000 - 000000074 74
OSMapTuner 000000000 - 000000000 - 000000000 - 000000242 242 000000178 178 000000064 64
Mapzen 000000806 806 000003436 3 436 000002208 2 208 000000232 232 000000102 102 000000063 63
ArcGIS Editor 000000000 - 000000046 46 000000107 107 000000101 101 000000061 61 000000063 63
iLOE 000000131 131 000000327 327 000000332 332 000000343 343 000000141 141 000000050 50
YAPIS 000000000 - 000000000 - 000000000 - 000000231 231 000000047 47 000000034 34
osmtools 000000061 61 000000108 108 000000053 53 000000042 42 000000032 32 000000028 28
meta 000000000 - 000000030 30 000000061 61 000000084 84 000000041 41 000000014 14
QGIS 000000034 34 000000157 157 000000121 121 000000159 159 000000112 112 000000014 14
bulk_upload.py 000000065 65 000000038 38 000000017 17 000000006 6 000000005 5 000000002 2
OpenSeaMap-Editor 000000018 18 000000114 114 000000100 100 000000124 124 000000020 20 000000000 -
BigTinCan Upload Script 000000170 170 000000187 187 000000101 101 000000086 86 000000012 12 000000000 -
andnav.org 000000033 33 000000055 55 000000006 6 000000002 2 000000001 1 000000000 -
osm for ruby 000000000 - 000000000 - 000000000 - 000000335 335 000000001 1 000000000 -
osm2go 000000099 99 000000000 - 000000000 - 000000000 - 000000000 - 000000000 -
Other 000000214 214 000000513 513 000000386 386 000000519 519 000000386 386 000000332 332
not specified 000018621 18 621 000000884 884 000000541 541 000000449 449 000000276 276 000000316 316

OSM editor marketshares by distinct uids.svg

See comments above to understand why the market shares in this plot do not add up to one. (It's not a bug, it's a feature.)

See also this plot for the absolute numbers - the normalized plot above may be somewhat misleading if interpreted improperly.

by number of edits

by number of edits
editor 2009 2010 2011 2012 2013 2014
JOSM 0000125615526 125 615 526 (20.8%) 0000494458271 494 458 271 (77.4%) 0000539079358 539 079 358 (80.5%) 0000542105707 542 105 707 (74.0%) 0000500014378 500 014 378 (71.0%) 0000573958012 573 958 012 (77.6%)
iD 0000000000000 - 0000000000000 - 0000000000000 - 0000000000000 - 0000034430862 34 430 862 (4.9%) 0000087513912 87 513 912 (11.8%)
Potlatch 2 0000000000000 - 0000007584901 7 584 901 (1.2%) 0000092218969 92 218 969 (13.8%) 0000146250937 146 250 937 (20.0%) 0000133374523 133 374 523 (18.9%) 0000065562551 65 562 551 (8.9%)
Merkaartor 0000005414090 5 414 090 (0.9%) 0000010887187 10 887 187 (1.7%) 0000010250061 10 250 061 (1.5%) 0000009702870 9 702 870 (1.3%) 0000004380406 4 380 406 (0.6%) 0000003192591 3 192 591 (0.4%)
ArcGIS Editor 0000000000000 - 0000000015342 15 342 (0.0%) 0000000418665 418 665 (0.1%) 0000000039091 39 091 (0.0%) 0000000186947 186 947 (0.0%) 0000001409075 1 409 075 (0.2%)
osmtools 0000150412240 150 412 240 (24.9%) 0000008994328 8 994 328 (1.4%) 0000000981921 981 921 (0.1%) 0000001229689 1 229 689 (0.2%) 0000002734257 2 734 257 (0.4%) 0000001209385 1 209 385 (0.2%)
upload.py 0000031167015 31 167 015 (5.2%) 0000010166002 10 166 002 (1.6%) 0000002435996 2 435 996 (0.4%) 0000000421238 421 238 (0.1%) 0000000776590 776 590 (0.1%) 0000000429871 429 871 (0.1%)
osmapis 0000000000000 - 0000000000000 - 0000000000000 - 0000004169283 4 169 283 (0.6%) 0000000343809 343 809 (0.0%) 0000000204472 204 472 (0.0%)
Potlatch 0.x/1.x 0000044030413 44 030 413 (7.3%) 0000057141365 57 141 365 (8.9%) 0000008756458 8 756 458 (1.3%) 0000001471290 1 471 290 (0.2%) 0000000469461 469 461 (0.1%) 0000000176558 176 558 (0.0%)
Redaction bot 0000000000000 - 0000000000000 - 0000000000000 - 0000021303508 21 303 508 (2.9%) 0000000284119 284 119 (0.0%) 0000000101384 101 384 (0.0%)
bulk_upload.py 0000064669041 64 669 041 (10.7%) 0000024649625 24 649 625 (3.9%) 0000001442184 1 442 184 (0.2%) 0000000759090 759 090 (0.1%) 0000000185033 185 033 (0.0%) 0000000008089 8 089 (0.0%)
PythonOsmApi 0000002254174 2 254 174 (0.4%) 0000000922941 922 941 (0.1%) 0000009503361 9 503 361 (1.4%) 0000000045963 45 963 (0.0%) 0000000036616 36 616 (0.0%) 0000000002538 2 538 (0.0%)
AND node cleaner/retagger 0000003314543 3 314 543 (0.5%) 0000000108633 108 633 (0.0%) 0000000000000 - 0000000000000 - 0000000000000 - 0000000000000 -
Jeff's Uploader 0.1 0000000000000 - 0000005128684 5 128 684 (0.8%) 0000000000000 - 0000000000000 - 0000000000000 - 0000000000000 -
MyUploader 0000000000000 - 0000002660404 2 660 404 (0.4%) 0000000000000 - 0000000000000 - 0000000000000 - 0000000000000 -
custom upload script written in ruby 0000000623227 623 227 (0.1%) 0000000000000 - 0000000000000 - 0000000000000 - 0000000000000 - 0000000000000 -
FindvejBot 0000000000262 262 (0.0%) 0000003797787 3 797 787 (0.6%) 0000000358760 358 760 (0.1%) 0000000104606 104 606 (0.0%) 0000000000175 175 (0.0%) 0000000000000 -
Roy 0000000000000 - 0000000000000 - 0000000000000 - 0000001216065 1 216 065 (0.2%) 0000002940171 2 940 171 (0.4%) 0000000000000 -
SviMik 0000000000000 - 0000000000000 - 0000000000000 - 0000000005569 5 569 (0.0%) 0000003060161 3 060 161 (0.4%) 0000000000000 -
osmupload.py 0000000000000 - 0000000000000 - 0000000000000 - 0000000000000 - 0000018057237 18 057 237 (2.6%) 0000000000000 -
bulk_upload_sax.py 0000007781579 7 781 579 (1.3%) 0000000722332 722 332 (0.1%) 0000000000000 - 0000000052554 52 554 (0.0%) 0000000000000 - 0000000000000 -
xybot 0000000173960 173 960 (0.0%) 0000000497047 497 047 (0.1%) 0000000725406 725 406 (0.1%) 0000000082076 82 076 (0.0%) 0000000000000 - 0000000000000 -
Other 0000001633888 1 633 888 (0.3%) 0000001657009 1 657 009 (0.3%) 0000001009279 1 009 279 (0.2%) 0000001206435 1 206 435 (0.2%) 0000001651065 1 651 065 (0.2%) 0000002648265 2 648 265 (0.4%)
not specified 0000167276598 167 276 598 (27.7%) 0000009231196 9 231 196 (1.4%) 0000002434295 2 434 295 (0.4%) 0000002767107 2 767 107 (0.4%) 0000001315922 1 315 922 (0.2%) 0000003077117 3 077 117 (0.4%)

OSM editor marketshares by edits.svg

  1. appears to be Nomino
  2. includes contributions formerly tagged created_by=wheelmap.org, see wheelmap
  3. writes a create_by tag instead of created_by=* in changesets

More complex analyses

The tables and plots above present very simple and straightforward analyses, whose interpretation is unambiguous. On the other hand, especially the "number of users" analysis has a few weak points: For each editor, the table gives the number of users who have made at least one edit with it; there is neither any distinction between regular and one-time users nor between using some editor as one's primary tool and just trying it out once. For example, most users make their first edits using one of the online editors (Potlatch 1 in the old days, then Potlatch 2, nowadays mostly iD). They are all counted as e.g. "iD users" even if they quickly turn away from OSM or choose another editor for all of their later edits.

The plot below (made by User:Nop) constitutes an attempt to avoid these weaknesses and associate with each user a primary or preferred editor, i.e. each user is counted only for exactly one editor. I do not know about further details of the analysis.

Editor usage main linear.png

Editor profiles (2012)

In this section, a selection of editors are displayed at their position in a two-dimensional space spanned by various quantities which allow some characterisation of the editor. (The selection is more or less arbitrary. If your favourite editor is missing, please complain.) All figures are for edits in the year 2012 only.

Editor profiles users edits 2012.png

The first plot displays each editor by the number of its users and the total edits made using it, which may be interpreted as the editor's total impact on the OSM database. The distribution of editors across the plot is roughly diagonal: There is a mainstream region in the upper right, where editors have a large user basis and are used to create or modify large amounts of data: JOSM, Potlatch 2 and - to a lesser extent - Merkaartor and Potlatch 1. All other editors are used by relatively few mappers (down to just one), and consequently, relatively few edits are made with them. Only a few specialized tools for large-scale edits appear somewhat off-diagonal.

Editor profiles users avgEditsPerChangeset 2012.png

The second plot again has the number of each editor's users on the horizontal axis, but now the average size of each changeset is plotted on the vertical axis. This tells us something about how each editor is used - for editing only few objects, or for larger changesets. The number of edits in a changeset using one of the mainstream editors is of the order of 100. Surprisingly, the average JOSM changeset is only roughly a factor of 2 larger than the average Potlatch 2 changeset. Various other editors (often mobile applications) usually make only a few edits in each changeset. As expected, specialized tools for large-scale edits (used by only few mappers) generate large changesets. Of course, these are all just average values, which tell nothing about the distribution of changeset sizes. We will address that issue below and try to explore the distribution of changeset sizes.

Editor changeset size distribution.png

As mentioned, the average size of a changeset (i.e. the number of edits in it) provides only very little information about how an editor is used - some number appearing as an average value may result from very different distributions. To visualize the distribution of changeset sizes, quantiles are plotted for the mainstream editors in the plot to the right. Each box describes the changeset sizes which make up 50 %, 90 % etc. of all changesets created using a given editor (e.g. 50 % of all Potlatch 1 changesets contain 4 objects or less, 90 % contain no more than 58 objects). The 50 % quantile is the median; for both Potlatch versions, this is roughly identical to the average. For JOSM and Merkaartor, both measures differ significantly, hinting a larger tail of the changeset size distributions.

Note: I am aware that this plot badly needs some cosmetic improvements. Please be patient.

Changeset size histo 2012 100.png
The distribution of changeset sizes is also represented in this histogram, that is, a diagram showing how many changesets exist with 1-100 edits, 101-200 edits, and so on. (Empty changesets - 0 edits - are dropped here.) Clearly Potlatch 1 is hardly ever used for making more than a few edits, while the number of changesets made with Potlatch 2 forms a nearly constant fraction of the corresponding number of changesets made with JOSM for quite a large range of changeset sizes. Only for really large changesets with more than, say, 5000 edits, this fraction drops off significantly and goes to zero around 20 000 edits (see the corresponding histogram for the full range up to 50 000 edits). Another diagram for the low end (up to 200 edits) is also available.


Update discipline of JOSM users

Josm versions recent.svg

How regularly do JOSM users update their editor? This plot shows the JOSM versions in use in a given month, weighted by the number of changesets and clustered by the version number's leading digits. The majority of users clearly keeps their JOSM largely up-to-date, working with at least a recent "tested" release - commercial software manufacturers must envy the JOSM developers. The average version in use is roughly three months behind the current release; however, also very old versions are still being used by a small but nonvanishing and apparently die-hard number of mappers. Even the ancient release 1566 from May, 2009 is still seen occasionally.

There is also another plot which covers a longer term.

See also