GSoC 2026 : Community Bonding Report - Implementation of Maximum Weighted Matching Algorithm

Initiatives Google Summer of Code
1

Name: Mayur Galhate
Project Title: Implement Maximum Weighted Matching Algorithms for pgRouting.

Mentors: @krashish8, @cvvergara, @robe
Organization: OSGeo / pgRouting
OSGeo Profile: OSGeo Profile Link
Project Wiki: Github Wiki Link
Repository: Repo Link

Period: Community Bonding (May 1 – May 25, 2026)

Work Done During Community Bonding Period

  1. OSGeo & Community Onboarding

  • Created my OSGeo user profile and linked it on the Accepted Students wiki page.
  • Joined relevant communication platforms (OSGeo Discourse, pgRouting Gitter/Matrix, mailing list, etc.).
  • Engaged with my mentor and got clarity on deliverables and expectations.

  1. Wiki & Documentation Setup

  • Created my project wiki page:* Project Wiki Link
  • Linked the wiki on the official GSoC 2026 * Accepted Students wiki page.
  • Added a basic summary of the project, goals, repository link, and weekly reporting structure to the wiki.
  • Added placeholder sections for the week-by-week updates and final deliverables.

  1. Project Preparation

  • Set up the initial folder structure for implementing the Maximum Weighted Matching algorithm in the pgRouting repository.
  • Explored the pgRouting codebase and Boost Graph Library to understand architecture and integration points.
  • Studied function signatures, expected inputs/outputs, SQL wrappers, and testing workflow.
  • Discussed project proposal details, implementation approach, test cases, and documentation strategy with mentors.
  • Familiarized myself with pgRouting contribution guidelines, PR workflow, and review process.

Community Interaction

  • Actively interacted with mentors through GitHub discussions, community channels, and private communication.
  • Followed pgRouting development discussions and became familiar with the PR submission, testing, and code review workflow.

Plans for the Coding Period

  • Begin implementing the Maximum Weighted Matching algorithm by integrating with the Boost Graph Library.
  • Continuously update the wiki page and weekly report as progress is made.

Am I blocked on anything?

  • No, I am not currently blocked on anything.

Regards,
Mayur Galhate
OSGeo id: Mayur07
Github: mayurgalhate