kglite-visual

Interactive, high-performance visualization for .kgl knowledge-graph files produced by KGLite — a Rust workspace and a WebGL frontend, shipped as a localhost CLI and a Python wheel.

Not yet published. No release has been cut, so the pip install line below does not resolve yet; build from the repo (make wheel) until it does. The first release deletes this paragraph.

What it does

.kgl graphs reach 100M+ nodes and no browser renders that, so the entry screen is never the whole graph. It is the type-level meta-graph — the labels and relationship types with their counts, always small whatever sits underneath — and you drill in from there with Cypher and bounded neighborhood expansion. The server decides what crosses the wire; the bound is enforced server-side, so a slice cannot grow past it on the way to the renderer.

Rendering is cosmos.gl (MIT, OpenJS Foundation): a WebGL GPU force layout, fed over a binary protocol (typed-array buffers for topology and positions, JSON for metadata).

Install

pip install kglite-visual

The wheel carries the engine, the server and the frontend bundle inside one compiled extension — no Node, no separate server process, no runtime Python dependencies.

Use it

From the shell:

kglite-visual path/to/graph.kgl        # opens a browser on localhost
kglite-visual path/to/graph.kgl --no-open --port 8080

From Python, including inside Jupyter:

import kglite_visual

view = kglite_visual.show("path/to/graph.kgl")   # a live URL, served in-process
view.url
view.close()

show() also takes an in-memory kglite graph, handed over through to_bytes() without touching the disk. In a notebook the returned view renders itself as an iframe.

Requirements

  • Python 3.10+ (one abi3 wheel serves every version from 3.10 up)
  • A .kgl file written by a matching KGLite release

Building from source additionally needs a Rust toolchain and Node; the published wheels and the source distribution both carry a prebuilt frontend, so neither needs Node at install time.

License

MIT — see LICENSE.

Project links

Data verified by PyPI on Aug 29, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

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  • Released:
Newer release available (0.1.7)

1 maintainer

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Avatar for kkollsg from gravatar.com kkollsg

Credits

Author: Kristian dF Kollsgård

GitHub Statistics

Data verified by PyPI on Aug 29, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

MIT
View SPDX License List

Requires

Python >=3.10

Tags

graph knowledge-graph visualization webgl kglite

Classifiers

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0.1.7

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