Above you find the input form for DayComp, an astrological program that compares two specific dates, times, and places. It calculates the parallel declinations and the longitudinal aspects from each of the planets on the first day to all of the planets on the second day (including house cusps). It also provides a colour-coded zodiac graphing of all relevant positions on both days. Green represents day one and blue represents day two.
The first longitude and latitude are necessary. If the second one is omitted, the program assumes it to be the same as the first. Times, if omitted, default to 12 hours (noon) UTC and 00 minutes, respectively. If the first time is provided and the second is omitted, then it will assume the second to be the same as the first. It will also assume the second month and year to be the same as the first, if omitted.
This program does not provide aspects nor parallels of either date to themselves, only to the other date. There are other programs on this site and plenty elsewhere that already do this, although perhaps not with this full aspect list. The aspects used in this program are taken from the list in this article. There are many aspects listed that don't have commonly used symbols and a few that don't have symbols at all. For these aspects, the degrees of separation are given for the aspect (not the actual distance between the bodies). If there is no aspect, then the block for it will be empty. Note that with an aspect list this extensive, finer orbs are required to get meaningful aspects. The default for the aspect orb above is 2°. If you try 8°, then hardly anything will be without aspect. Parallels are even more sensitive, but at least the house cusps aren't taken into account for those because they are assumed to be on the ecliptic. The same goes for the Lunar North Node, which also has a constant latitude of 0°. The Method option above determines whether you want to measure with GeoDist (geometric distance, 2-dimensional) or the default LongDiff (longitudinal difference, 1-dimensional). There are arguments for both, so investigate which you think is more accurate. My thinking is LongDiff, as I've seen it return much more sensable aspects than GeoDist.
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