load balancer<10kB. Updated 2018-09-13. Supports both Anki 2.0.x and 2.1.x.
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To download this add-on, please copy and paste the following code into the desktop program:
If you were linked to this page from the internet, please open Anki on your computer, go to the Tools menu and then Add-ons>Browse & Install to paste in the code.
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i'd like to have it on 2.1, is there anything like this??
I'm using it for years and it is a must have in my opinion.
Download failed: Invalid Code
tried several times even hand typing the number
This add-on NEEDS to be incorporated into Anki as a default part of the program, not just an add-on, as well as being made part of AnkiWeb and AnkiDroid. For some reason the AnkiDroid people don't seem to be interested in this anymore and there have been no new updates concerning it on that forum (unless I am missing something).
Fantastic plugin! Due to how I add cards in anki (based on my schedule in life), some days get drastically more new cards than others. This plugin has been fantastic at keeping my review times even everyday.
I do have one question. Does the load balancer work if I study with the iphone app? I always try to do my reviews on a computer in fear that it wont have any effect if I study while traveling. I guess this fear stems from my lack of understanding how exactly this plugin balances reviews.
The load balancer seems like a good idea, but there is no documentation of the settings, and worse still, it adds a meaningless graph called Difficulty Forecast; I have no idea what information that graph is showing. Please either explain it (and explain the settings), or delete it (maybe, if you want to keep the graph, make it optional?)
Seems like a great idea, but I'd like to know more about what it's doing before having it go to work on all of my cards (just as someone mentioned below, the options aren't incredibly intuitive)
This is really great concept, as many people have said already.
I think the only thing it misses is a proper explanation of settings.
Maybe write a Help/FAQ of some kind with each setting explained (I still don't know what the Workload:Ease fields do) with the values recommended for different learners and put them in the plugin/somewhere here?
Same problem as the two reviews underneath me. Fix it and I'll start using it again.
Traceback (most recent call last):
File "aqt/webview.pyc", line 21, in link
File "aqt/reviewer.pyc", line 315, in _linkHandler
File "aqt/reviewer.pyc", line 260, in _answerCard
File "anki/sched.pyc", line 84, in answerCard
File "anki/sched.pyc", line 537, in _answerLrnCard
File "/Users/myname/Documents/Anki/addons/load_balancer.py", line 156, in NEW_rescheduleAsRev
OLD_rescheduleAsRev(self, card, conf, early)
File "anki/sched.pyc", line 608, in _rescheduleAsRev
File "anki/sched.pyc", line 664, in _rescheduleNew
File "anki/sched.pyc", line 658, in _graduatingIvl
File "/Users/myname/Documents/Anki/addons/load_balancer.py", line 60, in NEW_adjRevIvl
if -1 not in [nc["LBGIMinBefore"], nc["LBGIMinAfter"]]:
(user name altered by poster)
Anki has a few bad habits,
Even with the new algorithms.
Load spikes is a significant problem that has always plagued anki.
Looking ahead in your schedule and seeing a large tower 4 days from now, steadily growing each day is not fun, and can be detrimental to progress.
In the past I had tried reviewing ahead with specially set featured decks.
The problem with this is that your interval is hardly changed when you review ahead. You end up in the long run merely pushing back a tower that will come back even larger. Cards which were due in 7 days are due again in 7 days, 3 in 3, 5 in 5, and don't forget you are adding new cards everyday. Sure the cards are easier but random recall errors occur, and the chances of this increase with the amount of cards you review in a day.
With this program you can set it to put cards a bit earlier or later (depending on ease) and even out the prospective workload.
It has not negatively affected by daily correct% (in fact it has raised it)
This is, quite frankly, an essential add-on, and should actually be incorporated into anki's programing.
According to my statistic graph forecast, in 12 days there are 80 mature cards that become due that day; when normally it is around 20. In 28 days, I have a similar "tower" of mature cards becoming due on that very day. Somehow, the default Anki scheduler produces load spikes, even in the long run with mature cards that have several months intervals already.
With this addon, the due forecast becomes perfectly even. You can customize its behaviour, e.g. how far to move cards into the past or future (personally, I prefer seeing cards a little earlier, so I reduced the future range to 1 day). The only feature that is missing is that it doesn't flatten the load spikes that are already there. But once you get past them it's perfect.
Thanks for this.
I have been using this and LOVING IT. Since I loaded 2.0.4 it now crashes in a few ways.
I love it so much I wish there was a way to go back to Anki 2.0.3! Unfortunately I 'ran' when installing, I should have save-as's ANKI so that I could wipe out 2.0.4 and go back to 2.0.3 to use this add on.
One error in 2.0.4:
Traceback (most recent call last):
File "C:\cygwin\home\dae\win\build\pyi.win32\anki\outPYZ1.pyz/aqt.webview", line 21, in link
File "C:\cygwin\home\dae\win\build\pyi.win32\anki\outPYZ1.pyz/aqt.reviewer", line 298, in _linkHandler
File "C:\cygwin\home\dae\win\build\pyi.win32\anki\outPYZ1.pyz/aqt.reviewer", line 247, in _answerCard
File "C:\cygwin\home\dae\win\build\pyi.win32\anki\outPYZ1.pyz/anki.sched", line 77, in answerCard
File "C:\cygwin\home\dae\win\build\pyi.win32\anki\outPYZ1.pyz/anki.sched", line 785, in _answerRevCard
File "C:\cygwin\home\dae\win\build\pyi.win32\anki\outPYZ1.pyz/anki.sched", line 831, in _rescheduleRev
File "C:\cygwin\home\dae\win\build\pyi.win32\anki\outPYZ1.pyz/anki.sched", line 909, in _updateRevIvl
File "C:\Users\Peter\Documents\Anki\addons\load_balancer.py", line 107, in NEW_adjRevIvl
TypeError: 'NoneType' object is not callable
It is a tool which has potential to reduce daily load and improve learning performance. It can take into account both due reviews and average easiness factors in order to reduce daily load. Thanks!