Astrology research software

An Astrology Research Platform

An astrology research platform stores every chart it casts as structured data — twenty divisional charts, the dasha sequence, planetary condition flags and the provenance rating of the birth data — so charts can be compared with each other rather than read one at a time. DKSCORE is built this way, which is what makes testing a classical rule across a cohort possible instead of anecdotal.

Who this is for

Three kinds of work that a reading-only tool cannot support.

Researchers testing classical rules

You want to know whether a yoga, a dasha pattern or a divisional placement actually correlates with an outcome across many charts — not whether it explained one chart after the fact.

Practitioners doing rectification

You need the provenance of a birth time to be visible before you build on it, and you need the divisional charts that make rectification decidable rather than a matter of taste.

Writers and teachers working from evidence

You cite charts in articles, courses or case studies and want the underlying data to be inspectable by the reader rather than asserted.

How the work actually flows

Four steps. The point of each is that its output is reusable by the next.

  1. Cast and store

    A chart is computed once and kept with its full field set — twenty vargas, nakshatra and pada, the Vimshottari sequence down to pratyantardasha, Ashtakavarga and Jaimini karakas. Nothing needs recomputing to be used again.

  2. Rate the source

    Birth data carries a Rodden rating recording where it came from and whether primary documentation exists. Weak data stays visibly weak rather than being quietly averaged in with the rest.

  3. Assemble a cohort

    Because conditions are stored as fields rather than written into prose, charts can be grouped by placement, condition or dasha state — the step that turns a hunch into something checkable.

  4. Publish with the evidence attached

    Findings can be written up in the same platform that holds the charts, so a reader can follow a claim back to the data instead of taking it on trust.

What it looks like

Screens from the Web CRM.

DKSCORE Research Analytics screen showing chart data grouped for comparison across multiple profiles.
Research Analytics — charts grouped and compared rather than read one at a time.
DKSCORE AstroData Bank screen listing stored astrological profiles with their birth-data ratings.
AstroData Bank — the stored profiles a cohort is assembled from.
DKSCORE Dasha timeline screen showing the Vimshottari dasha sequence across a lifetime.
Dasha timeline — the Vimshottari sequence stored per chart, not recomputed per reading.

What happens to your data

Worth knowing before you put a client list into anything.

Your charts stay yours

Charts and client records you create belong to your practice. They are not published, and they do not appear in the public celebrity profiles.

Stored as fields, not pictures

A chart is kept as structured values — placements, conditions, dasha periods — which is what makes it filterable later. An image of a chart cannot be queried.

Provenance travels with the record

The Rodden rating is part of the birth-data record rather than a note beside it, so its quality is visible everywhere the chart is used.

Exportable

Charts can be generated as PDF reports for clients, so nothing you produce is locked to a screen inside the platform.

What this does not do

Stated plainly, because a research tool that overstates itself is worse than none.

  • It does not run statistics for you. You get the fields and the filters; deciding whether a pattern is significant is your work, not the platform's.
  • It does not rectify birth times automatically. It gives you the divisional charts and the provenance rating that make rectification tractable — a practitioner still does it.
  • It does not settle interpretive disagreements. Where schools differ on a technique, the platform stores the data; it does not adjudicate.
  • It does not verify birth data on your behalf. A Rodden rating describes the strength of a source; it is not a guarantee that the source is correct.
Questions

Questions about astrology research on DKSCORE

What is an astrology research platform?
Software that treats charts as data you can compare, not just charts you can read one at a time. A reading platform casts a chart and shows it. A research platform stores every chart it casts with its divisional charts, dashas, planetary conditions and the quality rating of its birth data, so you can hold many charts side by side and test whether a rule you believe actually holds.
Which divisional charts does DKSCORE calculate?
Twenty vargas per chart: D1, D2, D3, D4, D5, D6, D7, D8, D9, D10, D11, D12, D16, D20, D24, D27, D30, D40, D45 and D60. That includes the complete classical Shodashavarga — all sixteen — plus D5, D6, D8 and D11. Public celebrity profiles surface the rashi, navamsa and dashamsha; the full set is available in the Web CRM.
How do you record the reliability of birth data?
With the Lois Rodden rating system, the standard classification for birth-data provenance. Every record is coded by where the information came from and whether primary documentation exists, and the rating is shown alongside the chart rather than hidden. For serious rectification and research work, practitioners weight AA and A records and discount the rest. Charts with no rating show no rating — we do not guess one. The full scale is set out on our methodology page.
What planetary conditions are stored with each chart?
Retrogression, combustion, planetary war with the winning and losing graha recorded, vargottama, directional strength, gandanta and marana karaka placement, along with nakshatra and pada, Jaimini karakas, Ashtakavarga, the Vimshottari dasha sequence down to pratyantardasha, and the panchang at birth. These are stored as fields, not as prose, which is what makes them filterable.
Can I test an astrological rule across many charts?
That is what the stored fields are for. Because condition flags and divisional placements are recorded per chart rather than written into a narrative, a cohort can be assembled and the rule checked against it. The honest limit is that DKSCORE gives you the data and the filters; it does not run the statistics for you or tell you a result is significant.
How are the charts calculated?
Charts are computed on our own system rather than assembled by hand, and every chart is stored with the same field set, which is what makes charts comparable across a cohort. Our methodology page sets out the calculation frame, what is stored per chart, how birth data is sourced and rated, and — just as important — what the platform does not claim to do.
Get started

Put a chart in and see what is stored with it

The research tools sit inside the Web CRM. Platform access is sold as Dharma Karma Plans; consultations are billed separately, per minute from a client's wallet.