Open-source Nepali temporal infrastructure for BS/AD conversion, fiscal-year logic, panchanga computation, festivals, and source-aware calendar validation.
- ✓Open-source license (AGPL-3.0)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
git clone https://github.com/dantwoashim/Project_ParvaTools overview
# Project Parva [](https://github.com/dantwoashim/Project_Parva/actions/workflows/ci.yml) [](https://github.com/dantwoashim/Project_Parva/actions/workflows/public-verification.yml)  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: - A documented market review dated `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. - The future-BS engine reaches `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. - The public benchmark and conformance suites ship with fixtures, runners, named-tool results, and per-case output. ## Start Here - Quickstart: [docs/QUICKSTART.md](docs/QUICKSTART.md) - OpenAPI snapshot: [docs/api-docs/openapi.json](docs/api-docs/openapi.json) - API versioning: [docs/API_VERSIONING_AND_DEPRECATION.md](docs/API_VERSIONING_AND_DEPRECATION.md) - Proof mode: [docs/PROOF_MODE.md](docs/PROOF_MODE.md) - Panchanga engine: [docs/PANCHANGA_ENGINE.md](docs/PANCHANGA_ENGINE.md) - Agent tooling guide: [docs/AGENT_TOOLING_GUIDE.md](docs/AGENT_TOOLING_GUIDE.md) - Architecture: [docs/architecture/ARCHITECTURE.md](docs/architecture/ARCHITECTURE.md) - Migration status: [docs/architecture/MIGRATION_STATUS.md](docs/architecture/MIGRATION_STATUS.md) - Artifact policy: [artifacts/POLICY.md](artifacts/POLICY.md) - Safe claims: [docs/SAFE_CLAIMS.md](docs/SAFE_CLAIMS.md) - Public benchmark: [public-benchmark/README.md](public-benchmark/README.md) - Real-tool comparison: [public-benchmark/results/competitor-comparison.md](public-benchmark/results/competitor-comparison.md) - Licensing: [docs/COMMERCIAL_LICENSING.md](docs/COMMERCIAL_LICENSING.md) - Public conformance index: [docs/benchmarks/NEPALI_DATE_CONFORMANCE_INDEX.md](docs/benchmarks/NEPALI_DATE_CONFORMANCE_INDEX.md) - Public failure classes: [docs/benchmarks/PUBLIC_NEPALI_DATE_FAILURE_CLASSES.md](docs/benchmarks/PUBLIC_NEPALI_DATE_FAILURE_CLASSES.md) - Nepal compliance profile: [docs/conformance/nepal-compliance-profile.md](docs/conformance/nepal-compliance-profile.md) - Yarsa source-drift case study: [docs/case-studies/yarsa-calendar-source-drift.md](docs/case-studies/yarsa-calendar-source-drift.md) - External reviewer packet: [docs/external/REVIEWER_PACKET.md](docs/external/REVIEWER_PACKET.md) Live public evaluation surfaces: - Website: [https://prabinghimire1.com.np](https://prabinghimire1.com.np) - API docs: [https://api.prabinghimire1.com.np/docs](https://api.prabinghimire1.com.np/docs) - OpenAPI: [https://api.prabinghimire1.com.np/openapi.json](https://api.prabinghimire1.com.np/openapi.json) The hosted API is a public evaluation deployment. First requests may be slower when the instance wakes up. ## Why This Exists 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: - a payroll period, - a fiscal-year boundary, - a certificate or DOB validation, - an invoice/report date, - an attendance or leave record, - a future BS date that should have stayed review-needed. 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. ## Free Nepali Date Risk Audit 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: - 10 sample BS/AD date outputs - one payroll, fiscal-year, invoice, attendance, report, certificate, or DOB workflow - one public repo, issue, Nepali datepicker, or library case - one real edge case your team has seen in production or testing Checks: - BS/AD conversion boundaries - invalid BS dates - month lengths - frontend/backend calendar source drift - fiscal and payroll month boundaries - holiday and working-day assumptions - future BS dates that should be marked review-needed You get: - a short technical report - pass, warning, and review-needed findings - suggested regression tests - source and provenance notes - authority-boundary notes Request one: - GitHub: [dantwoashim](https://github.com/dantwoashim) - Email: <twodan033@gmail.com> Fast conformance path: ```powershell py -3.11 tools\conformance_runner\run.py --suite public-nepali-date-issues py -3.11 tools\conformance_runner\run.py --profile nepal-compliance py -3.11 tools\conformance_runner\run.py --suite public-nepali-date-issues --write-report reports\conformance\public-issue-suite-summary.json ``` ## What Parva Does | 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 | ## Public Conformance Work 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: ```powershell py -3.11 tools\conformance_runner\run.py --suite public-nepali-date-issues py -3.11 tools\conformance_runner\run.py --profile nepal-compliance py -3.11 tools\conformance_runner\run.py --suite public-nepali-date-issues --write-report reports\conformance\public-issue-suite-summary.json py -3.11 -m pytest tests/conformance -q ``` Conformance docs: - [Public conformance index](docs/benchmarks/NEPALI_DATE_CONFORMANCE_INDEX.md) - [Failure classes from public issues](docs/benchmarks/PUBLIC_NEPALI_DATE_FAILURE_CLASSES.md) - [Generated artifact: public issue summary](reports/conformance/public-issue-suite-summary.md) - [Nepal compliance profile](docs/conformance/nepal-compliance-profile.md) - [Yarsa source-drift case study](docs/case-studies/yarsa-calendar-source-drift.md) - [Conformance Milestone 001](docs/releases/CONFORMANCE_MILESTONE_001.md) These fixtures are public regression and review artifacts. They are not calendar publication, legal guidance, tax guidance, payroll approval, banking guidance, or ritual authority. ## Who This Helps - Date library maintainers who want regression cases from real public issues. - ERP, payroll, accounting, school, cooperative, and attendance teams that need safer BS/AD boundaries. - Reviewers of public-service or government-form workflows where invalid BS dates should not slip through. - Developers building a Nepali calendar API, Bikram Sambat API, or Nepali datepicker regression suite. - Software-agent and MCP tool builders who need deterministic answers with proof receipts instead of guessed dates. - Auditors and maintainers who need source notes, not broad claims.
What people ask about Project_Parva
What is dantwoashim/Project_Parva?
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dantwoashim/Project_Parva is tools for the Claude AI ecosystem. Open-source Nepali temporal infrastructure for BS/AD conversion, fiscal-year logic, panchanga computation, festivals, and source-aware calendar validation. It has 26 GitHub stars and its last recorded update is dated 2026-08-05.
How do I install Project_Parva?
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You can install Project_Parva by cloning the repository (https://github.com/dantwoashim/Project_Parva) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is dantwoashim/Project_Parva safe to use?
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Our security agent has analyzed dantwoashim/Project_Parva and assigned a Trust Score of 95/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.
Who maintains dantwoashim/Project_Parva?
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dantwoashim/Project_Parva is maintained by dantwoashim. The last recorded GitHub activity is dated 2026-08-05, with 3 open issues.
Are there alternatives to Project_Parva?
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Yes. On ClaudeWave you can browse similar tools at /categories/tools, sorted by popularity or recent activity.
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