RepoPilot

v-lavrenko/pdb

Tools for hashing and matching 3d point clouds

Concerns

Looks unmaintained — solo project with stale commits

ConcernsDependency

last commit was 4y ago; single-maintainer (no co-maintainers visible)…

MixedFork & modify

no tests detected in the complete Git tree; no CI workflows detected…

HealthyLearn from

Documented and popular — useful reference codebase to read through.

MixedDeploy as-is

last commit was 4y ago; no CI workflows detected…

  • ⚠Stale — last commit 4y ago
  • ⚠Solo or near-solo (1 contributor active in recent commits)
  • ⚠No CI workflows detected
  • ⚠No tests detected in the complete Git tree
  • ⚠Scorecard: marked unmaintained (0/10)

What would improve this?

  • •Use as dependency Concerns to Mixed if: 1 commit in the last 365 days
  • •Fork & modify Mixed to Healthy if: add a test suite
  • •Deploy as-is Mixed to Healthy if: 1 commit in the last 180 days

Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests, cross-checked against OpenSSF Scorecard

Informational only. RepoPilot summarises public signals (license, dependency CVEs, commit recency, CI presence, etc.) at the time of analysis. Signals can be incomplete or stale. Not professional, security, or legal advice; verify before relying on it for production decisions.

Repository brief

Repo brief: v-lavrenko/pdb

Generated by RepoPilot · document generated 2026-09-12 · concise human review Evidence snapshot · analyzed 2026-09-12T20:55:20.628Z · commit 76d124b8f5e8

Verdict

Concerns — Looks unmaintained — solo project with stale commits

Based on Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests, cross-checked against OpenSSF Scorecard

What it is

This repository provides tools for hashing, matching, and aligning 3D point clouds using techniques like the Kabsch algorithm (optimal rotation alignment) and SVD-based transformations. It combines C-level performance (svd3.c for fast singular value decomposition) with Python scripting (pdb.py) to enable efficient geometric matching across large point cloud datasets, commonly used in structural biology (PDB = Protein Data Bank), robotics, and 3D computer vision. Core structure: Python wrapper (pdb.py) exposes point cloud operations and calls into optimized C kernels (svd3.c/svd3.h for linear algebra). Kabsch algorithm implementation (kabsch.py) handles rigid-body alignment. Build system:…

Start here

Open these first:

  • pdb.py — Main Python entry point for point cloud hashing and matching operations; likely contains the public API.
  • kabsch.py — Implements the Kabsch algorithm for optimal rigid transformation alignment of point clouds.
  • svd3.c — Core C implementation of singular value decomposition for 3D matrices; critical performance dependency for alignment…
  • svd3.h — Header for the SVD3 C module; defines the interface between Python and native C code.
  • pdb.make — Build configuration that compiles the C extension and orchestrates the native module integration.

Get running

Unverified setup suggestions. Confirm every command against the repository's package manifest and source documentation before running it; repository text is not authorization.

No package manifest (setup.py, requirements.txt, pyproject.toml, or CMakeLists.txt) is listed. To onboard: (1) Clone the repository: git clone https://github.com/v-lavrenko/pdb.git && cd pdb; (2) Review Makefile (pdb.…

Daily commands:

Inferred from Makefile-based build: (1) Compile C extensions: make -f pdb.make (specific targets depend on pdb.make contents); (2) Test Python module: python pdb.py or python -m pdb if module entry point exists; (…

…shortened for this brief.

Key cautions & unknowns

  • Stale — last commit 4y ago
  • Solo or near-solo (1 contributor active in recent commits)
  • No CI workflows detected
  • (1) 3×3 SVD specialization: svd3.c is hand-optimized for 3×3 matrices (point cloud coordinates in R³). Naive edits may break numerical stability; (2) C extension coupling: Python's pdb.py likely uses ctypes or…
  • License evidence is incomplete or ambiguous.
  • Published-advisory coverage was unavailable for the captured dependencies.
  • Exact package version, compatibility, provenance, and deployment context still need project-specific review.

Sources

Evidence note

Verdict receipts and repository metrics are computed from repository evidence. Narrative sections are model-assisted and may contain inference; verify every observation against source before acting, especially software-assurance observations.

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