Skip to main content

predictygraph

Predictable graphs. A readable diagram DSL with per-group layouts ("balancing styles"), plain-CSS styling, and static or animated SVG/APNG output (no browser). Spec: docs/SPEC.md. Docs: predictygraph.github.io. Editor support: tree-sitter-pdg. Rendered examples and the gallery: predictygraph.github.io. This repo keeps only .pdg sources; images live in the docs repo (git-lfs).

uv run pdg examples/hami_flow.pdg                    # -> examples/hami_flow.svg (not committed)
uv run pdg diagram.pdg --css theme.css -o out.svg
uv run pdg diagram.pdg -o out.png                    # animated PNG (APNG)
uv run pdg diagram.pdg --check                       # validate only
uv run pdg diagram.pdg -o d.png --width 1000 --colors 64   # small PNG for chat
uv run pdg diagram.pdg --target web                  # size labels to fit any browser font

pdg is the short alias of the predictygraph command.

Credits

This project stands on the shoulders of two giants.

Graphviz (dot) taught a generation that diagrams can be text. Its layered layout algorithm is still the reference for graph drawing, and we are grateful for decades of work on it. But dot optimises for the whole graph at once: you describe nodes and edges, and the engine decides where they go. Nudging one cluster without disturbing the rest means fighting rank, weight and invisible edges. Styling lives in attributes rather than CSS, and the output often looks like a paper figure rather than a slide.

Mermaid made text diagrams mainstream by putting them in Markdown, READMEs and docs sites. Its syntax is friendly and we borrowed from its spirit. But it renders through a browser and JavaScript, leaves little control over layout, and the same source can render differently across versions and hosts.

predictygraph keeps what we love from both (diagrams as readable text) and adds what we missed: per-group layouts, plain-CSS styling, and deterministic static SVG with no browser in the loop.

Metadata

Release files for predictygraph 0.2.3

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

Source distribution (sdist)

Source distribution for predictygraph 0.2.3
File Size Uploaded Provenance Actions
predictygraph-0.2.3.tar.gz 135.5 kB Without provenance Details for predictygraph-0.2.3.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for predictygraph 0.2.3
File Interpreter ABI Platform Actions
predictygraph-0.2.3-py3-none-any.whl Python 3 none any Details for predictygraph-0.2.3-py3-none-any.whl

Total release size: 284.1 kB

Release files / predictygraph-0.2.3.tar.gz

Download URL predictygraph-0.2.3.tar.gz
Size 135.5 kB
Tags Source
SHA-256 checksum
How to use checksums
daa62f6cceacd2b715982a67f80d7fca50c9e3e6ab23863068c5ac96e60ea1c2
BLAKE2b-256 checksum
How to use checksums
8499058581cd84c0a462a869c2da60e94d9631894c5392c69cf0c885992645df
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.13.7 {"installer":{"name":"uv","version":"0.13.7","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"26.04","id":"resolute","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

Release files / predictygraph-0.2.3-py3-none-any.whl

Download URL predictygraph-0.2.3-py3-none-any.whl
Size 148.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
b3e786a57d68cf544a7d633a979ffcbce404342b82efa49773569cb29a375418
BLAKE2b-256 checksum
How to use checksums
542a74ed2e2470d1682676c37ff66666f8ba7e33398c8647af1e8c00efdf56f1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.13.7 {"installer":{"name":"uv","version":"0.13.7","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"26.04","id":"resolute","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

Security for predictygraph 0.2.3

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.

No provenance found

None of the files in this release were uploaded with provenance metadata.

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.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

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