Cartographer in a new Avatar! , now supports Google Maps 3 & Rails 3

-----Original Message-----
From: bangalorerug@googlegroups.com [mailto:bangalorerug@googlegroups.com]
On Behalf Of Abhishek Parolkar
Sent: Monday, January 10, 2011 1:12 PM
To: bangalorerug@googlegroups.com
Subject: [Bangalore RUG] Cartographer in a new Avatar! , now supports Google
Maps 3 & Rails 3

Hello All,
  Cartographer is a Google Maps wrapper that was originally written 
in 2005 when Rails tagged 0.1.  For many years people used it to 
painlessly generate maps. The plugin was left orphan with no support 
for future google map's api releases. Hence the legacy apps couldnt  
migrate to Google Maps v3 easily. But this is no longer true!

I have brought cartographer codebase back to life for providing drop-
in replacement for google maps v3 and support for rails 3.

It is now well-covered with tests to ensure backward compatibility of 
the older API.

Check that out : http://github.com/parolkar/cartographer

Anybody who has apps using order versions of cartographer? This is 
useful for you, I am doing a performance benchmark and need to hear 
your experiences, contact me off the thread.

---
write good code, be humble and live a great life :)
Abhishek Parolkar - http://github.com/parolkar

Views: 51

Comment

You need to be a member of Codetown to add comments!

Join Codetown

Happy 10th year, JCertif!

Notes

Welcome to Codetown!

Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.

When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
Continue

Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.

Looking for Jobs or Staff?

Check out the Codetown Jobs group.

 

Enjoy the site? Support Codetown with your donation.



InfoQ Reading List

Designing Memory for AI Agents: Inside Linkedin’s Cognitive Memory Agent

LinkedIn introduces Cognitive Memory Agent (CMA), generative AI infrastructure layer enabling stateful, context-aware systems. It provides persistent memory across episodic, semantic, and procedural layers, supporting multi-agent coordination, retrieval, and lifecycle management. CMA addresses LLM statelessness and enables production-grade personalization and long-term context in AI applications.

By Leela Kumili

Pretext.js Bypasses DOM Layout Reflow, Enabling Advanced UX Patterns at 120 FPS

Cheng Lou, a Midjourney engineer, recently released Pretext, a 15KB open-source TypeScript library that measures and lays out text without browser layout reflows, enabling advanced UX/UI patterns like infinite lists, masonry layouts, and scroll position anchoring to run at 60-120 fps. Pretext was built using an AI loop that reverse-engineered the DOM’s layout calculations.

By Bruno Couriol

Subagents in Gemini CLI Enable Task Delegation and Parallel Agent Workflows

Google has introduced subagents in Gemini CLI, a new capability designed to help developers delegate complex or repetitive tasks to specialized AI agents operating alongside a primary session.

By Robert Krzaczyński

Presentation: Event-Driven Patterns for Cloud-Native Banking - What Works, What Hurts?

Chris Tacey-Green discusses the shift from synchronous commands to asynchronous events within highly regulated environments. He explains the critical role of Inbox and Outbox patterns in preventing data loss, the nuances of event versioning, and how to maintain decoupling between domains. He shares "battle-tested" principles for implementing fault tolerance and managing eventual consistency.

By Chris Tacey-Green

Article: Building Production-Ready tRPC APIs: The TypeScript Alternative to Apollo Federation

This article details our migration from Apollo Federation to a TypeScript-based tRPC stack, which resulted in an 89% reduction in bugs and 67% faster response times. It also covers the mistakes we made, the unexpected performance gains, and an overview of the production architecture we use today to handle 2.4 million daily requests with 99.97% uptime.

By Dinesh Kumar Elumalai

© 2026   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service