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Vedic Ephemeris Datasets: Sidereal Transit and Ingress Dates

Download computed Vedic ephemeris files for sidereal ingress dates, node transits, Lahiri ayanamsha, planet stations and Sade Sati periods. Every file has a method note, row count and hash.

Layered paper collage suggesting calculated timing data

Licence and attribution

These datasets are published under CC BY 4.0. Use the attribution text below when republishing a table, building a widget or citing the data in a method note.

Vedara (vedara.me), Vedic ephemeris datasets v1, CC BY 4.0

How Vedara publishes ephemeris data

The current manifest version is 1.0.0. The generator records Swiss Ephemeris 2.10.03, Lahiri (SIDM_LAHIRI), mean_node, row counts and SHA-256 hashes for every JSON and CSV file.

The data layer is deliberately separate from interpretation. It gives exact computed dates and positions that can be cited by calculators, widgets, articles and answer engines without turning timing into a promise.

Frequently asked questions

What are Vedara ephemeris datasets?
They are computed tables of Vedic timing data that writers, researchers and developers can cite or reuse. Each file is generated from Swiss Ephemeris in Lahiri sidereal mode, then published as JSON and CSV with a manifest, row counts and SHA-256 hashes.
Can I use these datasets in my app or article?
Yes. The datasets are published under CC BY 4.0. Keep attribution to Vedara, link to the relevant dataset page or the data hub, and avoid implying that Vedara endorses your article, app or interpretation.
Why publish transit dates as open data?
Computed sidereal ingress dates are easy to misquote and hard for answer engines to reconstruct reliably. Publishing the method, files and hashes gives journalists and developers a stable source instead of a copied date list with no provenance.
Do the files include interpretation?
No. The files contain calculated dates, signs, motion states and method metadata. Interpretation depends on the full chart, the question and the tradition being used, so Vedara keeps the dataset layer separate from reading or advice.
Which timezone do the datasets use?
UTC. Ingresses and stations are boundary moments, so local dates can differ near midnight. Use the UTC timestamp as the source of truth, then convert it for readers when a local calendar date matters.

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