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

These tables are generated automatically with wiki.pl from the changeset dump of 11.07.2016.

by number of changesets

by number of changesets
editor 2009 2010 2011 2012 2013 2014 2015 2016
iD 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00001226853 1 226 853 (23.3%) 00003809897 3 809 897 (47.2%) 00004498073 4 498 073 (53.2%) 00002160758 2 160 758 (49.7%)
JOSM 00001201158 1 201 158 (42.3%) 00001759943 1 759 943 (53.0%) 00001976916 1 976 916 (57.6%) 00002398347 2 398 347 (56.8%) 00002542599 2 542 599 (48.4%) 00002709914 2 709 914 (33.5%) 00003084430 3 084 430 (36.5%) 00001684651 1 684 651 (38.7%)
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%) 00001231078 1 231 078 (15.2%) 00000496382 496 382 (5.9%) 00000198695 198 695 (4.6%)
MAPS.ME 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000107200 107 200 (2.5%)
Go Map!! 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000045433 45 433 (0.9%) 00000061110 61 110 (0.8%) 00000110515 110 515 (1.3%) 00000039006 39 006 (0.9%)
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%) 00000056552 56 552 (0.7%) 00000054830 54 830 (0.6%) 00000036184 36 184 (0.8%)
osmapi 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000002252 2 252 (0.0%) 00000001507 1 507 (0.0%) 00000028625 28 625 (0.7%)
Merkaartor 00000136926 136 926 (4.8%) 00000172561 172 561 (5.2%) 00000149106 149 106 (4.3%) 00000111796 111 796 (2.6%) 00000076125 76 125 (1.4%) 00000063165 63 165 (0.8%) 00000050301 50 301 (0.6%) 00000021770 21 770 (0.5%)
OsmAnd 00000000000 - 00000004784 4 784 (0.1%) 00000011445 11 445 (0.3%) 00000007284 7 284 (0.2%) 00000009771 9 771 (0.2%) 00000013422 13 422 (0.2%) 00000018671 18 671 (0.2%) 00000013801 13 801 (0.3%)
Pushpin 00000000000 - 00000000000 - 00000000000 - 00000010060 10 060 (0.2%) 00000063176 63 176 (1.2%) 00000035834 35 834 (0.4%) 00000027399 27 399 (0.3%) 00000009780 9 780 (0.2%)
Level0 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000002067 2 067 (0.0%) 00000010629 10 629 (0.1%) 00000008765 8 765 (0.2%)
rosemary 00000000000 - 00000003198 3 198 (0.1%) 00000004961 4 961 (0.1%) 00000003906 3 906 (0.1%) 00000007850 7 850 (0.1%) 00000009597 9 597 (0.1%) 00000012307 12 307 (0.1%) 00000006695 6 695 (0.2%)
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%) 00000023570 23 570 (0.3%) 00000026668 26 668 (0.3%) 00000003288 3 288 (0.1%)
Services_OSM 00000000000 - 00000000000 - 00000000000 - 00000006752 6 752 (0.2%) 00000006708 6 708 (0.1%) 00000006908 6 908 (0.1%) 00000013135 13 135 (0.2%) 00000001485 1 485 (0.0%)
Potlatch 0.x/1.x 00001073205 1 073 205 (37.8%) 00001068397 1 068 397 (32.2%) 00000215062 215 062 (6.3%) 00000052644 52 644 (1.2%) 00000011126 11 126 (0.2%) 00000006485 6 485 (0.1%) 00000003625 3 625 (0.0%) 00000001394 1 394 (0.0%)
OSMPOIEditor 00000000000 - 00000000000 - 00000000000 - 00000006678 6 678 (0.2%) 00000005077 5 077 (0.1%) 00000006927 6 927 (0.1%) 00000003582 3 582 (0.0%) 00000001154 1 154 (0.0%)
upload.py 00000035585 35 585 (1.3%) 00000000830 830 (0.0%) 00000000281 281 (0.0%) 00000000443 443 (0.0%) 00000000292 292 (0.0%) 00000000146 146 (0.0%) 00000000091 91 (0.0%) 00000000653 653 (0.0%)
osmapis 00000000000 - 00000000000 - 00000000000 - 00000014272 14 272 (0.3%) 00000001684 1 684 (0.0%) 00000001611 1 611 (0.0%) 00000000676 676 (0.0%) 00000000568 568 (0.0%)
ArcGIS 00000000000 - 00000000293 293 (0.0%) 00000003809 3 809 (0.1%) 00000010193 10 193 (0.2%) 00000005007 5 007 (0.1%) 00000005889 5 889 (0.1%) 00000000783 783 (0.0%) 00000000461 461 (0.0%)
Redaction bot 00000000000 - 00000000000 - 00000000000 - 00000141693 141 693 (3.4%) 00000001696 1 696 (0.0%) 00000000276 276 (0.0%) 00000000215 215 (0.0%) 00000000399 399 (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%) 00000000230 230 (0.0%) 00000000615 615 (0.0%) 00000000234 234 (0.0%)
OpenMaps 00000000000 - 00000008987 8 987 (0.3%) 00000001745 1 745 (0.1%) 00000003463 3 463 (0.1%) 00000000775 775 (0.0%) 00000000490 490 (0.0%) 00000000312 312 (0.0%) 00000000210 210 (0.0%)
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%) 00000001191 1 191 (0.0%) 00000000848 848 (0.0%) 00000000071 71 (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%) 00000000165 165 (0.0%) 00000000155 155 (0.0%) 00000000011 11 (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%) 00000000215 215 (0.0%) 00000000022 22 (0.0%) 00000000003 3 (0.0%)
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 - 00000000000 - 00000000000 -
KMLManager 00000017443 17 443 (0.6%) 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000000 -
MapStalt Mini 00000000000 - 00000000000 - 00000003177 3 177 (0.1%) 00000004789 4 789 (0.1%) 00000008802 8 802 (0.2%) 00000001548 1 548 (0.0%) 00000000120 120 (0.0%) 00000000000 -
Roy 00000000000 - 00000000000 - 00000000000 - 00000008660 8 660 (0.2%) 00000002525 2 525 (0.0%) 00000000000 - 00000000000 - 00000000000 -
WebDRI 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000011442 11 442 (0.2%) 00000000148 148 (0.0%) 00000000000 - 00000000000 -
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%) 00000001116 1 116 (0.0%) 00000000011 11 (0.0%) 00000000000 -
Other 00000011030 11 030 (0.4%) 00000027682 27 682 (0.8%) 00000022172 22 172 (0.6%) 00000027788 27 788 (0.7%) 00000021716 21 716 (0.4%) 00000017950 17 950 (0.2%) 00000032319 32 319 (0.4%) 00000018132 18 132 (0.4%)
Not Specified 00000275183 275 183 (9.7%) 00000014076 14 076 (0.4%) 00000007670 7 670 (0.2%) 00000005989 5 989 (0.1%) 00000003694 3 694 (0.1%) 00000009265 9 265 (0.1%) 00000006253 6 253 (0.1%) 00000005013 5 013 (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 2015 2016
iD 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000056176 56 176 (43.6%) 00000125149 125 149 (80.1%) 00000133826 133 826 (81.8%) 00000083335 83 335 (64.1%)
MAPS.ME 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000032463 32 463 (25.0%)
JOSM 00000013753 13 753 (18.8%) 00000018795 18 795 (23.6%) 00000020227 20 227 (21.2%) 00000023439 23 439 (19.0%) 00000023135 23 135 (17.9%) 00000021859 21 859 (14.0%) 00000022794 22 794 (13.9%) 00000015913 15 913 (12.2%)
Potlatch 2 00000000000 - 00000003787 3 787 (4.8%) 00000066586 66 586 (69.9%) 00000101943 101 943 (82.5%) 00000072649 72 649 (56.4%) 00000029358 29 358 (18.8%) 00000024048 24 048 (14.7%) 00000009411 9 411 (7.2%)
OsmAnd 00000000000 - 00000000192 192 (0.2%) 00000000645 645 (0.7%) 00000001129 1 129 (0.9%) 00000001653 1 653 (1.3%) 00000001927 1 927 (1.2%) 00000002354 2 354 (1.4%) 00000001933 1 933 (1.5%)
Vespucci 00000000058 58 (0.1%) 00000000237 237 (0.3%) 00000000460 460 (0.5%) 00000000957 957 (0.8%) 00000001622 1 622 (1.3%) 00000001801 1 801 (1.2%) 00000002075 2 075 (1.3%) 00000001490 1 490 (1.1%)
rosemary 00000000000 - 00000000266 266 (0.3%) 00000001137 1 137 (1.2%) 00000001051 1 051 (0.9%) 00000001532 1 532 (1.2%) 00000001723 1 723 (1.1%) 00000002761 2 761 (1.7%) 00000001440 1 440 (1.1%)
Go Map!! 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000002205 2 205 (1.7%) 00000002046 2 046 (1.3%) 00000001335 1 335 (0.8%) 00000000935 935 (0.7%)
JOSM reverter 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000572 572 (0.4%)
OsmHydrant 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000001 1 (0.0%) 00000000344 344 (0.2%) 00000000665 665 (0.4%) 00000000458 458 (0.4%)
Pushpin 00000000000 - 00000000000 - 00000000000 - 00000000389 389 (0.3%) 00000000998 998 (0.8%) 00000001113 1 113 (0.7%) 00000000780 780 (0.5%) 00000000337 337 (0.3%)
Merkaartor 00000002262 2 262 (3.1%) 00000002784 2 784 (3.5%) 00000002193 2 193 (2.3%) 00000001687 1 687 (1.4%) 00000001090 1 090 (0.8%) 00000000597 597 (0.4%) 00000000457 457 (0.3%) 00000000254 254 (0.2%)
Potlatch 0.x/1.x 00000059540 59 540 (81.3%) 00000068273 68 273 (85.7%) 00000026327 26 327 (27.6%) 00000013034 13 034 (10.5%) 00000000745 745 (0.6%) 00000000517 517 (0.3%) 00000000429 429 (0.3%) 00000000225 225 (0.2%)
Osmose Editor 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000157 157 (0.1%) 00000000224 224 (0.1%) 00000000168 168 (0.1%)
Level0 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000109 109 (0.1%) 00000000174 174 (0.1%) 00000000119 119 (0.1%)
ArcGIS 00000000000 - 00000000045 45 (0.1%) 00000000107 107 (0.1%) 00000000101 101 (0.1%) 00000000061 61 (0.0%) 00000000067 67 (0.0%) 00000000067 67 (0.0%) 00000000108 108 (0.1%)
RawEdit 00000000093 93 (0.1%) 00000000075 75 (0.1%) 00000000100 100 (0.1%) 00000000181 181 (0.1%) 00000000147 147 (0.1%) 00000000129 129 (0.1%) 00000000122 122 (0.1%) 00000000098 98 (0.1%)
OpenMaps 00000000000 - 00000000610 610 (0.8%) 00000000682 682 (0.7%) 00000000977 977 (0.8%) 00000000386 386 (0.3%) 00000000232 232 (0.1%) 00000000182 182 (0.1%) 00000000065 65 (0.0%)
OSMPOIEditor 00000000000 - 00000000000 - 00000000000 - 00000000336 336 (0.3%) 00000000571 571 (0.4%) 00000000623 623 (0.4%) 00000000378 378 (0.2%) 00000000055 55 (0.0%)
Grass and Green 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000188 188 (0.1%) 00000000039 39 (0.0%)
My Opening Hours 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000089 89 (0.1%) 00000000089 89 (0.1%) 00000000070 70 (0.0%) 00000000030 30 (0.0%)
osmtools 00000000061 61 (0.1%) 00000000108 108 (0.1%) 00000000053 53 (0.1%) 00000000042 42 (0.0%) 00000000032 32 (0.0%) 00000000030 30 (0.0%) 00000000028 28 (0.0%) 00000000017 17 (0.0%)
YAPIS 00000000000 - 00000000000 - 00000000000 - 00000000231 231 (0.2%) 00000000047 47 (0.0%) 00000000039 39 (0.0%) 00000000032 32 (0.0%) 00000000016 16 (0.0%)
Mapzen 00000000806 806 (1.1%) 00000003436 3 436 (4.3%) 00000002208 2 208 (2.3%) 00000000232 232 (0.2%) 00000000102 102 (0.1%) 00000000067 67 (0.0%) 00000000009 9 (0.0%) 00000000002 2 (0.0%)
Other 00000000390 390 (0.5%) 00000000591 591 (0.7%) 00000000393 393 (0.4%) 00000000854 854 (0.7%) 00000000387 387 (0.3%) 00000000404 404 (0.3%) 00000000531 531 (0.3%) 00000000367 367 (0.3%)
Not Specified 00000018623 18 623 (25.4%) 00000000882 882 (1.1%) 00000000539 539 (0.6%) 00000000443 443 (0.4%) 00000000269 269 (0.2%) 00000000424 424 (0.3%) 00000000704 704 (0.4%) 00000000831 831 (0.6%)

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 2015 2016
JOSM 00125615525 125 615 525 (20.8%) 00494458279 494 458 279 (77.4%) 00539079358 539 079 358 (80.5%) 00542105707 542 105 707 (74.0%) 00500014378 500 014 378 (71.0%) 00666687519 666 687 519 (76.7%) 00642685856 642 685 856 (74.4%) 00360042777 360 042 777 (73.4%)
iD 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00034430862 34 430 862 (4.9%) 00109275830 109 275 830 (12.6%) 00142199332 142 199 332 (16.5%) 00097652383 97 652 383 (19.9%)
Potlatch 2 00000000000 - 00007584901 7 584 901 (1.2%) 00092218969 92 218 969 (13.8%) 00146250937 146 250 937 (20.0%) 00133374523 133 374 523 (18.9%) 00077914369 77 914 369 (9.0%) 00060078390 60 078 390 (7.0%) 00024989478 24 989 478 (5.1%)
osmtools 00150412240 150 412 240 (24.9%) 00008994328 8 994 328 (1.4%) 00000981921 981 921 (0.1%) 00001229689 1 229 689 (0.2%) 00002734257 2 734 257 (0.4%) 00001499370 1 499 370 (0.2%) 00006826400 6 826 400 (0.8%) 00002477357 2 477 357 (0.5%)
Merkaartor 00005378663 5 378 663 (0.9%) 00010887187 10 887 187 (1.7%) 00010250061 10 250 061 (1.5%) 00009702870 9 702 870 (1.3%) 00004380406 4 380 406 (0.6%) 00003791724 3 791 724 (0.4%) 00003696670 3 696 670 (0.4%) 00001390066 1 390 066 (0.3%)
JOSM reverter 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00001237584 1 237 584 (0.3%)
Vespucci 00000002087 2 087 (0.0%) 00000022298 22 298 (0.0%) 00000049455 49 455 (0.0%) 00000165722 165 722 (0.0%) 00000277566 277 566 (0.0%) 00000804216 804 216 (0.1%) 00000885797 885 797 (0.1%) 00000612093 612 093 (0.1%)
osmapi 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000797190 797 190 (0.1%) 00000139521 139 521 (0.0%) 00000523802 523 802 (0.1%)
Go Map!! 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000501785 501 785 (0.1%) 00000632666 632 666 (0.1%) 00000976605 976 605 (0.1%) 00000467509 467 509 (0.1%)
MAPS.ME 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000246069 246 069 (0.1%)
Redaction bot 00000000000 - 00000000000 - 00000000000 - 00021303508 21 303 508 (2.9%) 00000284119 284 119 (0.0%) 00000102887 102 887 (0.0%) 00000081142 81 142 (0.0%) 00000176301 176 301 (0.0%)
osmapis 00000000000 - 00000000000 - 00000000000 - 00004169283 4 169 283 (0.6%) 00000343809 343 809 (0.0%) 00000327196 327 196 (0.0%) 00000137593 137 593 (0.0%) 00000120056 120 056 (0.0%)
rosemary 00000000000 - 00000022898 22 898 (0.0%) 00000174901 174 901 (0.0%) 00000094049 94 049 (0.0%) 00000107887 107 887 (0.0%) 00000089020 89 020 (0.0%) 00000146213 146 213 (0.0%) 00000059169 59 169 (0.0%)
OsmAnd 00000000000 - 00000004726 4 726 (0.0%) 00000011576 11 576 (0.0%) 00000022532 22 532 (0.0%) 00000036647 36 647 (0.0%) 00000056057 56 057 (0.0%) 00000072002 72 002 (0.0%) 00000054376 54 376 (0.0%)
Potlatch 0.x/1.x 00044030413 44 030 413 (7.3%) 00057141365 57 141 365 (8.9%) 00008756458 8 756 458 (1.3%) 00001471290 1 471 290 (0.2%) 00000469461 469 461 (0.1%) 00000196441 196 441 (0.0%) 00000127480 127 480 (0.0%) 00000052824 52 824 (0.0%)
Level0 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000025528 25 528 (0.0%) 00000113023 113 023 (0.0%) 00000044655 44 655 (0.0%)
ArcGIS 00000000000 - 00000015203 15 203 (0.0%) 00000418665 418 665 (0.1%) 00000039091 39 091 (0.0%) 00000186947 186 947 (0.0%) 00001483853 1 483 853 (0.2%) 00000146144 146 144 (0.0%) 00000041046 41 046 (0.0%)
Services_OSM 00000000000 - 00000000000 - 00000000000 - 00000028736 28 736 (0.0%) 00000018942 18 942 (0.0%) 00000099656 99 656 (0.0%) 00000124012 124 012 (0.0%) 00000026305 26 305 (0.0%)
RawEdit 00000007996 7 996 (0.0%) 00000030087 30 087 (0.0%) 00000027602 27 602 (0.0%) 00000028882 28 882 (0.0%) 00000033594 33 594 (0.0%) 00000014062 14 062 (0.0%) 00000008173 8 173 (0.0%) 00000013635 13 635 (0.0%)
Pushpin 00000000000 - 00000000000 - 00000000000 - 00000009837 9 837 (0.0%) 00000062718 62 718 (0.0%) 00000035563 35 563 (0.0%) 00000027135 27 135 (0.0%) 00000009722 9 722 (0.0%)
upload.py 00031074573 31 074 573 (5.1%) 00010166002 10 166 002 (1.6%) 00002435996 2 435 996 (0.4%) 00000421238 421 238 (0.1%) 00000776590 776 590 (0.1%) 00000429871 429 871 (0.0%) 00000488194 488 194 (0.1%) 00000003953 3 953 (0.0%)
PythonOsmApi 00002254174 2 254 174 (0.4%) 00000922941 922 941 (0.1%) 00009503361 9 503 361 (1.4%) 00000045963 45 963 (0.0%) 00000036616 36 616 (0.0%) 00000026018 26 018 (0.0%) 00000027225 27 225 (0.0%) 00000003343 3 343 (0.0%)
bulk_upload.py 00064669041 64 669 041 (10.7%) 00024649625 24 649 625 (3.9%) 00001442184 1 442 184 (0.2%) 00000759090 759 090 (0.1%) 00000185033 185 033 (0.0%) 00000008089 8 089 (0.0%) 00001061001 1 061 001 (0.1%) 00000001453 1 453 (0.0%)
Mapzen 00000033941 33 941 (0.0%) 00000447014 447 014 (0.1%) 00000102080 102 080 (0.0%) 00000006686 6 686 (0.0%) 00000001086 1 086 (0.0%) 00000000749 749 (0.0%) 00000000033 33 (0.0%) 00000000005 5 (0.0%)
AND node cleaner/retagger 00003314543 3 314 543 (0.5%) 00000108633 108 633 (0.0%) 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000000 -
FindvejBot 00000000262 262 (0.0%) 00003797787 3 797 787 (0.6%) 00000358760 358 760 (0.1%) 00000104606 104 606 (0.0%) 00000000175 175 (0.0%) 00000000000 - 00000000000 - 00000000000 -
Jeff's Uploader 00000000000 - 00005128684 5 128 684 (0.8%) 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000000 -
MyUploader 00000000000 - 00002660404 2 660 404 (0.4%) 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00000000000 -
QGIS 00000004206 4 206 (0.0%) 00000030901 30 901 (0.0%) 00000029737 29 737 (0.0%) 00000036840 36 840 (0.0%) 00000009488 9 488 (0.0%) 00000000949 949 (0.0%) 00000000000 - 00000000000 -
Roy 00000000000 - 00000000000 - 00000000000 - 00001216065 1 216 065 (0.2%) 00002940171 2 940 171 (0.4%) 00000000000 - 00000000000 - 00000000000 -
SviMik 00000000000 - 00000000000 - 00000000000 - 00000005569 5 569 (0.0%) 00003060161 3 060 161 (0.4%) 00000000000 - 00000000000 - 00000000000 -
Tayberry 00000000000 - 00000164902 164 902 (0.0%) 00000763472 763 472 (0.1%) 00000005506 5 506 (0.0%) 00000141914 141 914 (0.0%) 00000000000 - 00000221472 221 472 (0.0%) 00000000000 -
bulk_upload_sax.py 00007781579 7 781 579 (1.3%) 00000722332 722 332 (0.1%) 00000000000 - 00000052554 52 554 (0.0%) 00000000000 - 00000035010 35 010 (0.0%) 00000000000 - 00000000000 -
osmupload.py 00000000000 - 00000000000 - 00000000000 - 00000000000 - 00018057237 18 057 237 (2.6%) 00000000000 - 00002109443 2 109 443 (0.2%) 00000000000 -
Other 00002510721 2 510 721 (0.4%) 00001596271 1 596 271 (0.2%) 00001339339 1 339 339 (0.2%) 00000904807 904 807 (0.1%) 00000601676 601 676 (0.1%) 00000714976 714 976 (0.1%) 00000371609 371 609 (0.0%) 00000210050 210 050 (0.0%)
Not Specified 00167313853 167 313 853 (27.7%) 00009066286 9 066 286 (1.4%) 00001670818 1 670 818 (0.2%) 00002752021 2 752 021 (0.4%) 00001173684 1 173 684 (0.2%) 00003873676 3 873 676 (0.4%) 00001404891 1 404 891 (0.2%) 00000356583 356 583 (0.1%)

OSM editor marketshares by edits.svg


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