Skip to main content

Yantra Python SDK

Build Yantra step-by-step diagrams and one-page answers from Python. The SDK writes the JSON payload; the Yantra CLI validates it and compiles a single offline HTML file with automatic layout and a walkthrough. No third-party Python dependencies; Python 3.9 or later.

Website · Python guide · Authoring reference · Source · Changelog

Node.js 20.19 or later is required to validate, build HTML or import. Building payloads (to_dict(), save_json()) works without it.

pip install niyankhadka-yantra     # import name "yantra"
pip install -e python/             # from a checkout of the repository

The CLI is found, in order, via:

  1. YANTRA_CLI: a path to bin/yantra.js (run with node) or to a yantra executable.
  2. bin/yantra.js in the checkout the package is installed from (editable installs).
  3. yantra on PATH (npm i -g @niyankhadka/yantra, or npm link in a checkout).
  4. npx --yes --package @niyankhadka/yantra yantra, which downloads the CLI from npm on first use (set YANTRA_NO_NPX=1 to turn this off).

If none works, YantraError explains what to install.

Diagram

from yantra import Diagram, blocks

d = Diagram("Checkout", "How an order is paid and stored.")
d.role("service", "Service", "blue").role("data", "Data", "violet")
api = d.add_node("api", "Orders API", "service", subtitle="Validates and charges", rank=0)
db = d.add_node("db", "Orders DB", "data", tech="PostgreSQL")
api.connect(db, "INSERT order")
d.add_edge(api, "queue", "OrderCreated", type="event", style="dashed")   # edge type/style
d.summary("Orders are validated, charged and stored.", points=["..."], facts={"SLA": "99.9%"})
d.add_mode("local", "Local", badge="LOCAL", hide_nodes=["queue"])
db.mode_override("local", tech="SQLite")
d.group("backend", "Backend", [api, db], color="blue")
d.add_step("Overview")                                    # default scenario "main"
d.scenario("retry", "Retry").step("Publish", nodes=[api], payload={"status": 202})
d.panel("risks", "Risks", [blocks.points([("DB outage", "Orders retry.", "warn")], nodes=["db"])])
d.inspector(tabs=["summary", "risks"], on_node_click="risks")
d.layout("TB"); d.watermark(False)

d.validate()                  # {"valid", "errors", "warnings"}
d.build_html("checkout.html")
pay = d.add_node("payments", "Payments", "service", url="https://example.com/runbook")
detail = Diagram("Payments service")            # a full diagram: nodes, edges, steps
...
d.detail("payments", detail, from_node=pay)     # pay.drill("payments") opens it
d.detail("search", "search.json")               # or a file: {"$ref": "search.json"}
d.validate(base_dir="diagrams/")                # folder that file references are relative to
d.add_edge(api, db, "INSERT", url="https://example.com/schema")
d.add_step("Persist", url="https://example.com/adr-12")

Links accept http(s):// and mailto: only. Page.diagram(d, level="payments") shows a detail level on a page. pay.drill("payments-local", mode="local") opens another level in one mode. A page diagram given as a file (p.diagram("diagrams/overview.json")) has its $ref levels loaded too, relative to that file and only inside the page's base_dir (yantra.resolve_levels(payload, folder, root) does the same for any payload). d.views("flow") hides the Flow / Sequence toggle (views("sequence"): sequence only).

State machines: shape is one of SHAPES ("state" cards; "initial", "final" and "choice" pseudo-states), arrow one of ARROWS ("forward", "both", "none"), and an edge from a node to itself is a self-loop.

start = d.add_node("start", "Start", "pseudo", shape="initial")
open_ = d.add_node("open", "Open", "state", shape="state")
start.connect(open_)                                      # no label needed out of a start
d.add_edge(open_, open_, "add note")                      # self-loop
d.add_edge(open_, "waiting", "ask / reply", arrow="both") # one two-way edge

Data models and class diagrams

from yantra import Diagram, field, method

d = Diagram("Shop schema", direction="LR")
d.add_entity("customers", "customers", [field("id", "uuid", pk=True), field("email", "text", unique=True)])
d.add_entity("orders", "orders", [field("id", "uuid", pk=True),
                                  field("customer_id", "uuid", fk=True, ref="customers.id")])
d.add_edge("customers", "orders", "places", source_end="one", target_end="zero-or-many")

d.add_class("method", "PaymentMethod", methods=[method("authorize", "amount: Money", "Auth", "+")],
            stereotype="interface")
d.add_class("card", "CardPayment", fields=[field("token", "String", visibility="-")])
d.add_edge("method", "card", relation="realization")   # triangle on the source (the interface)

field(name, type, pk=, fk=, unique=, nullable=, ref=, visibility=, static=, note=) and method(name, params, type, visibility, static=, abstract=) build rows; RELATIONS and END_KINDS list the accepted relation and source_end / target_end values.

Charts in diagrams

from yantra import Diagram, blocks, mini_chart

d = Diagram("Shop health")
d.add_node("api", "Orders API", "service",
           chart=mini_chart([180, 172, 165, 150, 142], "line", "p95 latency", unit=" ms", target=160))
d.add_node("db", "Orders DB", "service", chart=mini_chart(value=99.95, label="Uptime", unit="%"))
d.add_chart_card("latency", "p95 latency by service",
                 blocks.chart(kind="column", unit=" ms", categories=["Orders", "Payments"],
                              series={"Last week": [150, 210], "This week": [142, 260]}))

mini_chart kinds: line, area, column, bar, donut, ring, bullet (MINI_KINDS). A chart card takes any page chart block (yantra.blocks.chart); width is 240-480.

Trees and mind maps

org = Diagram("Org chart").tree("TB")                    # or .mindmap(), or .layout(algorithm=...)
ceo = org.add_node("ceo", "Amara Okafor", "exec", subtitle="CEO")
cto = ceo.child("cto", "Daniel Reyes", subtitle="CTO")    # node + ceo -> cto edge, type inherited
cto.child("platform", "Platform", "team").child("sre", "Reliability")
ceo.assistant("cos", "Rhys Morgan", subtitle="Chief of Staff")  # beside the CEO, not below
org.collapse("cto")                                       # opens folded; readers unfold with +N
org.build_html("org.html", expand_all=True)               # or collapsed=["cto", "cfo"] for this file
org.export_svg("org.svg", collapsed=["cto"])

Deep hierarchies

city = d.group("city", "Harbourside City", style="solid")              # boxes may hold only boxes
north = d.group("north", "North district", parent=city)                  # parent: id or Group
traffic = d.group("traffic", "Traffic management", ["utc"], parent=north)
d.group("junction", "Junction 14 cabinet", ["signals"], parent=traffic)  # up to 6 levels deep
d.collapse("junction")
d.add_step("A queue builds", nodes=["signals", "utc"], focus_group="junction")  # zooms there, unfolds it
d.build_html("city.html", depth=2)                                      # fold to depth: 2 levels of boxes open
d.export_svg("city.svg", depth=0)                                       # or collapsed= / expand_all=

Scenario.step(..., focus_group=...) does the same for named scenarios. depth, collapsed and expand_all are alternatives: pass one.

.tree("TB", compact=True) lists leaf teams in one column under their leader (False: never; the default "auto" does it only when the chart gets too wide).

Edges define the hierarchy; hierarchy edges need no label (label= is shown on the connector, e.g. "Yes" / "No" in a decision tree).

Import

from yantra import import_diagram

payload = import_diagram("architecture.drawio", page=2)    # also .mmd, .md, .puml; format= to force

Returns the payload dict produced by yantra import (see docs/import.md).

Set up a project for coding agents

import yantra

report = yantra.init_project("path/to/project", agents=["claude", "cursor"])  # dry_run=True previews

Runs yantra init (skill, MCP server entry and rules for Claude Code, Cursor, Codex or Antigravity; see docs/agents.md) and returns its report: files lists each path with its action (created, merged, unchanged, skipped, ...).

Answer page

from yantra import Page

p = Page("Why a saga?", title="Saga", kicker="Decision", author="Platform", date="20/10/2026")
p.answer("Because no single transaction spans the payment provider and our services.",
         points=["...", "...", "..."])
p.diagram(d, step=2, caption="The checkout path")   # Diagram, payload dict or .json path
p.steps([("Authorise", "..."), ("Commit", "...")], span="half").callout("...", tone="warn", span="half")
p.metrics({"p99": "180 ms"}).chart({"Payment": 94, "Ledger": 22}, unit=" ms")
p.build_html("saga.html")

Blocks: text, points, steps, metrics, table, compare, callout, diagram, chart, code, sources, gantt, matrix (all take title= and span=). The same constructors live in yantra.blocks for diagram panels.

p.chart(kind="line", categories=["Jul", "Aug", "Sep"], series={"Starter": [3.4, 3.6, 4.1]}, unit="%")
p.chart({"Subscriptions": 1057, "Services": 480}, kind="donut", prefix="£", unit="k")
p.gantt([{"id": "api", "title": "API", "start": "05/10/2026", "days": 25},
         {"title": "Launch", "milestone": True, "after": "api"}], today="20/10/2026",
        workdays=True, holidays=["2026-12-25"])   # days count working days
p.matrix([("Alerts", 2, 8), ("Chat", 8, 3)], x="Effort", y="Value",
         quadrants=["Quick wins", "Big bets", "Fill-ins", "Avoid"])

Languages: d.language("ne"), Page(..., lang="ar") or p.language("ar", strings={"page.answer": "..."}) set meta.lang / meta.dir / meta.strings (labels, number formats, right to left; see docs/authoring.md). yantra.LANGUAGES lists the built-in tables, yantra.builtin_language("zh-TW") the one a tag uses ("zh-Hant"), yantra.is_rtl(lang) the direction, and d.validate(lang="auto") returns the common validation messages in the diagram language (codes unchanged, English in messageEn).

Examples: python python/example.py [out-dir], python python/example_page.py [out-dir] (default: the OS temp dir). Tests: python -m unittest discover -s python/tests -v.

Licence

MIT, like the rest of Yantra. The Yantra name and logo are covered by the trademark policy.

Metadata

Release files for niyankhadka-yantra 1.1.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for niyankhadka-yantra 1.1.1
File Size Uploaded Provenance
niyankhadka_yantra-1.1.1.tar.gz 46.1 kB With provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for niyankhadka-yantra 1.1.1
File Interpreter ABI Platform
niyankhadka_yantra-1.1.1-py3-none-any.whl Python 3 none any Details

Total release size: 79.2 kB

Release files / niyankhadka_yantra-1.1.1.tar.gz

Download URL niyankhadka_yantra-1.1.1.tar.gz
Size 46.1 kB
Tags Source
SHA-256 checksum
How to use checksums
aadde855a9825244a87bd6a03f2387c3612742b445b9c4540be287e8302fdce0
BLAKE2b-256 checksum
How to use checksums
5293c96c075562ece1f44ba63fc12749386a43c4d5c658387fe0b12d1b48a0c6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 21, 2026.

Transparency log

Release files / niyankhadka_yantra-1.1.1-py3-none-any.whl

Download URL niyankhadka_yantra-1.1.1-py3-none-any.whl
Size 33.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
e8cf78ac8ca1d27722d9c09d1b6f521bb02414b74411d8610c89d36baee1b3ac
BLAKE2b-256 checksum
How to use checksums
0b68957c0019a402b57dba1e902a98c2c6a4985025be553a81b63e3c6dd0a4f2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 21, 2026.

Transparency log

Security for niyankhadka-yantra 1.1.1

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Full provenance

All 2 files in this release have been uploaded with provenance metadata.

Select from 2 files

Attestation for niyankhadka_yantra-1.1.1.tar.gz

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 21, 2026.

Transparency log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page