Read-only Nepali date, calendar, festival, Panchanga, and temporal verification tools.
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Project Parva is an open-source Nepali date/time API and conformance project.
It covers BS to AD, AD to BS, Nepali date validation, holidays, working days, Nepal fiscal year logic, BS month metadata, Panchanga computation, proof receipts, local verification, SDKs, MCP tools, and public regression fixtures.
The project exists because Nepali date bugs often hide until a boundary is hit: a frontend calendar table disagrees with backend data, a payroll month has the wrong number of days, a datepicker accepts an invalid BS date, or a future BS date changes after someone already used it in a workflow.
Parva treats those cases as conformance problems, not just conversion problems. It records source and method provenance, separates exact evidence from review-needed evidence, and gives developers a way to test what their Nepali calendar API or Nepali date converter is actually doing.
Three public claims define the project:
2026-08-05 found no second Nepal-focused
API combining BS conversion, location-aware astronomical Panchanga, Nepal
business rules, future-BS research, replay artifacts, and public conformance.72/72 exact month predictions in chronological
rolling validation over the official 2078-2083 BS window, with each target
year trained only on earlier years.Live public evaluation surfaces:
The hosted API is a public evaluation deployment. First requests may be slower when the instance wakes up.
Most Nepali date bugs are small on paper and expensive in context.
Many systems carry hardcoded Bikram Sambat month tables. A backend CSV, a frontend Nepali datepicker bundle, and a reporting job can each have their own copy. They may all look reasonable until one month differs by a day.
That one day can move:
Software agents add another failure mode: if the tool does not expose source, confidence, and boundary data, the model will often answer as if the date is settled. Parva is built to make those boundaries visible.
The project turns public Nepali date failures into fixtures and checks where the evidence is exact enough. When the evidence is partial, it stays marked for review instead of becoming a fake assertion.
If you maintain Nepal-facing payroll, ERP, accounting, attendance, school, cooperative, public-service, government-form, or datepicker software, you can send one small workflow or sample output.
No integration required. No dependency required. No sales call required. No authority claim.
Good inputs:
Checks:
You get:
Request one:
Fast conformance path:
| Area | What it provides |
|---|---|
| Nepali date API | BS to AD, AD to BS, today, validation, month metadata, supported-range metadata |
| Civil proof mode | Replay-verifiable membranes for conversion, validation, holidays, working days, fiscal years, and BS months |
| Panchanga engine | Method-docketed sunrise, tithi, nakshatra, yoga, karana, paksha, vara, ephemeris metadata, and proof receipts |
| Payroll/date-risk audit | CSV/API-oriented decision-support checks for invalid dates, holidays, non-working days, fiscal boundaries, and review-required cases |
| Local verification | Shared proof fixtures and a buildable @project-parva/local-kernel npm package for offline replay checks |
| SDKs | Python and JavaScript clients with proof modes and conservative verification helpers |
| Agent/MCP | Read-only, public-safe agent tool wrappers and MCP adapter surfaces that preserve boundaries and review gates |
| Benchmark | Public Nepali Time Reliability Benchmark for deterministic date reasoning, source awareness, and review behavior |
| Governance | Source/method dockets, public claims checker, route maturity, OpenAPI drift checks, and reproducible public verification |
| Research boundary | Future-BS research kept separate from public authority claims, with compatibility shims only where older imports need them |
Parva tracks public Nepali date issues and turns them into fixtures or runnable checks when the evidence is exact enough. The suite separates verified public issues, reported issues, partial evidence, business workflow evidence, and future-date review cases.
Project Parva's benchmark work contributed a standalone calendar source
consistency guard to yarsa/nepal-compliance.
That check compared duplicated frontend/backend BS month tables. It did not add a Parva dependency, change upstream runtime behavior, or prove production impact.
Run the public issue conformance suite:
Conformance docs:
These fixtures are public regression and review artifacts. They are not calendar publication, legal guidance, tax guidance, payroll approval, banking guidance, or ritual authority.
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