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 --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 0.1.0

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 0.1.0
File Size Uploaded Provenance Actions
predictygraph-0.1.0.tar.gz 124.2 kB Without provenance Details for predictygraph-0.1.0.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for predictygraph 0.1.0
File Interpreter ABI Platform Actions
predictygraph-0.1.0-py3-none-any.whl Python 3 none any Details for predictygraph-0.1.0-py3-none-any.whl

Total release size: 263.1 kB

Release files / predictygraph-0.1.0.tar.gz

Download URL predictygraph-0.1.0.tar.gz
Size 124.2 kB
Tags Source
SHA-256 checksum
How to use checksums
4fba6f2a364a2eb957ac923c871f40d042c2567187471da41458193d953d4b1e
BLAKE2b-256 checksum
How to use checksums
bb8a6d32068894d3517b0fe4217f701f97acd858a36102bae26bc172f5ca4ddf
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.13.6 {"installer":{"name":"uv","version":"0.13.6","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-0.1.0-py3-none-any.whl

Download URL predictygraph-0.1.0-py3-none-any.whl
Size 138.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
34146e6325c9e485ccae055483043697ba9df87056fbe4d49a76b6beb02d3c6a
BLAKE2b-256 checksum
How to use checksums
6be0185e30211a0dc434ebcba615ed321f713b2a17f36305bc3c3e3e354199f3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.13.6 {"installer":{"name":"uv","version":"0.13.6","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 0.1.0

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.

Release history Release notifications | RSS feed

This release

0.1.0 This release

2 release files No provenance

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