The Neo4j Heroku Challenge – Heroku Challengers
The Neo4j Heroku Challenge has closed, leaving a brilliant collection of projects to highlight developing with Neo4j using a broad range of languages and frameworks. With the challenge closed to entries, it is time for the voting! Let’s take a look at the challengers to see who deserves your support.
1. Use the Tweet buttons below the projects to cast your vote on twitter with the project in question.
2. Cast your vote by tweeting #neo4jchallenge and the url to the project’s github repository
3. Login to Gensen and add star rating to the project
Some deserving developer is going to get an iPad3 thanks to your support!
by Max de Marzi
Tweet
Graph visualization doesn’t have to be just circles and arrows, as Max demonstrates with this easily grokable project that uses the D3.js library to display a chord diagram of [:follows] relationships in the graph.
Read more about it in Max’s blog post.
by Max de Marzi
Tweet
Following up with a more traditional graph representation, Max’s Network Visualizer project shows how organic a graph visualization can be. With a color palette evocative of Gensen, Heroku and Neo4j, this sample could the official challenge flower.
Read more in Max’s other blog post.
by Simon Gate and Joel Hansson
Tweet
The “Flattr what?” application is a super simple recommendation engine for Flattr users, a micro-payment/tipping system for bloggers and other content creators. The demo app starts with a user, then scrapes the Flattr API to recommend other things to flattr.
Read all the details at Simon’s project repository.
by Luanne Misquitta
Tweet
Flavor-what-now? This amusingly named app models ingredient pairs or flavor affinities, allowing you to search by ingredient and view complementary combinations. I didn’t see “Bacon and Avocado” so a quick click of the “Add Pairing” button later and I’ve contributed to the crowd sourced edible wisdom.
Luanne has a great write-up that tells the whole story.
by Josh Adell
Tweet
Frosty Mug helps navigate the vast ocean of beers on tap at a proper brew pub. Start with a beer you like, then Frosty Mug will recommend similar beers. This app might need a mobile version UI so we can use it at Neo4j Meetups to help order beers in a graph-like way. Cheers.
Peruse the github repository to see under the covers.
by James Thornton
Tweet
A git-powered, Neo4j-backed blog engine running on Heroku. A headless application? Yes! With Lightbulb, you can use your favorite text editor, then push the content to Heroku, where Lightbulb will extract the entry metadata, save it to Neo4j, then serve it up in convenient chunks. By focusing on serving up custom data endpoints, a client-side application can easily incorporate the blog fragments.
The Bulbflow website has all the details.
by Matt Williams
Tweet
Neo Blog is a simple blog engine written in Python, backed by Neo4j. This app demonstrates that your application doesn’t have to be overtly graphy to benefit from developing with a graph database. A blog platform is so familiar, it’s easy to forget the incredible connectedness of all the content, and the comments, and tag clouds.
Check out the implementation at the project repository.
By Andy Petrella
Tweet
With this through-the-web edited social graph, Andy demonstrates how easy it is to get access Neo4j from Scala while running on the Play framework. Down in the guts, he uses the Databinder Dispatch library to set up a Neo4jRestService which pipes all the data from the Neo4j server.
To go along with it, Andy has written a great series about Neo4j on his blog.
By Aran Elkington
Tweet
With Graphtag, Aran has created a Clojure application which monitors twitter mentions against a custom account “GraphTag” and inputs the content of those tweets into neo4j as a node. The individual that made the tweet is also stored in Neo4j and links are created from their node to any tweets they mention “GraphTag” in.
Without a distracting UI, Graphtag capably demonstrates how naturally Neo4j integrates with Clojure, providing a solid starting point for developing your own applications.
Read more about Graph tag at Aran’s github repository.
by Max de Marzi
Tweet
In a great spin on the classic (for Neo4j) dataset, Neoflix explores a movie database with great D3-powered visualizations to make recommendations about other films you might want to watch.
You should read everything Max writes, including a post about this project.
By Aseem Kishore
Tweet
Node-Neo4j.js really seems like it could be named Relationship.js, doesn’t it? Regardless, it’s an easy to use library that lets Node.js developers work with a full Neo4j graph. Aseem’s template project demonstrates the essential operations of working with Neo4j, implementing a social network with [:follows] relationships.
Read the details on Aseem’s project website.
by Carson McDonald
Tweet
The app is a simple data explorer with bookmarking ability to show off some of the features of Neo4j. A subset of data from a Stack Exchange CC data dump, specifically Programers Stack Exchange, is used to populate a sample database. The bookmarking feature allows for weights to be added for later use in recommendations.
By Stefan Armbruster
Tweet
When you want to get right to coding up your great application idea, having a clean project template with all the bits in place helps enormously to get you started. Stefan has provided that here for Grails developers.
Read more about Neo4j for Grails at the project repository and Stefan’s blog about Grails Neo4j.
By Romiko Derbynew
Tweet
Neo4j or Bust (aka FrictionFree.org) is an impressive integration of Heroku (to access Neo4j) and AppHarbor (to host the .NET application), to create a website that lets you discover and follow interesting people. This is classic social networking: based on who you know and driven by your interests, you use your network of connections to find new people.
Learn all of Romiko’s secrets in his blog post about the project.
By Tomás Müller
Tweet
Assembling an ambitious stack of technology, NeoQuote delivers a stock-exchange symbol lookup application, with integrated voice search! Yes, I know you want to try it right away. Open a new window, we’ll wait.
From idea to implementation, you can follow the step-by-step development in Tomás’ blog post.
By Hannu Leinonen
Tweet
Ruby’s Sinatra has inspired many other lightweight web frameworks to take the stage. Scalatra is Scala’s implementation. With Scalatra Neo4j, Hannu shows how to take that easy development style one step further to integrate with Neo4j, quick-stepping past boilerplate code to get right to dancing in your application domain.
Dig the details at Hannu’s github repository.
Want to learn more, or hear from the developer’s themselves? We’re having a “virtual meetup” voting party next week to hear from the project authors and vote. Authors and voters, join us.
Cheers,
Andreas
Want to learn more about graph databases? Click below to get your free copy of O’Reilly’s Graph Databases ebook and discover how to use graph technologies for your application today.
Download My Ebook Every Vote Counts
A lot of creativity and love was poured into these projects. Now it’s your turn to participate. After investigating the projects, you’ve got three ways to vote:1. Use the Tweet buttons below the projects to cast your vote on twitter with the project in question.
2. Cast your vote by tweeting #neo4jchallenge and the url to the project’s github repository
3. Login to Gensen and add star rating to the project
Some deserving developer is going to get an iPad3 thanks to your support!
D3 Followers Visualizer
Neography on Sinatra in Rubyby Max de Marzi
Tweet
Graph visualization doesn’t have to be just circles and arrows, as Max demonstrates with this easily grokable project that uses the D3.js library to display a chord diagram of [:follows] relationships in the graph.
Read more about it in Max’s blog post.
D3 Network Visualizer
Neography on Sinatra in Rubyby Max de Marzi
Tweet
Following up with a more traditional graph representation, Max’s Network Visualizer project shows how organic a graph visualization can be. With a color palette evocative of Gensen, Heroku and Neo4j, this sample could the official challenge flower.
Read more in Max’s other blog post.
Flattr what?
Neography on Sinatra in Rubyby Simon Gate and Joel Hansson
Tweet
The “Flattr what?” application is a super simple recommendation engine for Flattr users, a micro-payment/tipping system for bloggers and other content creators. The demo app starts with a user, then scrapes the Flattr API to recommend other things to flattr.
Read all the details at Simon’s project repository.
Flavorwocky
Grails in Groovyby Luanne Misquitta
Tweet
Flavor-what-now? This amusingly named app models ingredient pairs or flavor affinities, allowing you to search by ingredient and view complementary combinations. I didn’t see “Bacon and Avocado” so a quick click of the “Add Pairing” button later and I’ve contributed to the crowd sourced edible wisdom.
Luanne has a great write-up that tells the whole story.
Frosty Mug
Neo4jPhp on Silex in PHPby Josh Adell
Tweet
Frosty Mug helps navigate the vast ocean of beers on tap at a proper brew pub. Start with a beer you like, then Frosty Mug will recommend similar beers. This app might need a mobile version UI so we can use it at Neo4j Meetups to help order beers in a graph-like way. Cheers.
Peruse the github repository to see under the covers.
Lightbulb
Bulbs in Pythonby James Thornton
Tweet
A git-powered, Neo4j-backed blog engine running on Heroku. A headless application? Yes! With Lightbulb, you can use your favorite text editor, then push the content to Heroku, where Lightbulb will extract the entry metadata, save it to Neo4j, then serve it up in convenient chunks. By focusing on serving up custom data endpoints, a client-side application can easily incorporate the blog fragments.
The Bulbflow website has all the details.
NeoBlog
Py2Neo on Flask in Pythonby Matt Williams
Tweet
Neo Blog is a simple blog engine written in Python, backed by Neo4j. This app demonstrates that your application doesn’t have to be overtly graphy to benefit from developing with a graph database. A blog platform is so familiar, it’s easy to forget the incredible connectedness of all the content, and the comments, and tag clouds.
Check out the implementation at the project repository.
Scala Plays with Neo4j
Neo4j REST through Play in ScalaBy Andy Petrella
Tweet
With this through-the-web edited social graph, Andy demonstrates how easy it is to get access Neo4j from Scala while running on the Play framework. Down in the guts, he uses the Databinder Dispatch library to set up a Neo4jRestService which pipes all the data from the Neo4j server.
To go along with it, Andy has written a great series about Neo4j on his blog.
Graphtag
Neocons on Ring in ClojureBy Aran Elkington
Tweet
With Graphtag, Aran has created a Clojure application which monitors twitter mentions against a custom account “GraphTag” and inputs the content of those tweets into neo4j as a node. The individual that made the tweet is also stored in Neo4j and links are created from their node to any tweets they mention “GraphTag” in.
Without a distracting UI, Graphtag capably demonstrates how naturally Neo4j integrates with Clojure, providing a solid starting point for developing your own applications.
Read more about Graph tag at Aran’s github repository.
Neoflix
Neography on Sinatra in Rubyby Max de Marzi
Tweet
In a great spin on the classic (for Neo4j) dataset, Neoflix explores a movie database with great D3-powered visualizations to make recommendations about other films you might want to watch.
You should read everything Max writes, including a post about this project.
Node-Neo4j Template
Node-Neo4j in JavaScriptBy Aseem Kishore
Tweet
Node-Neo4j.js really seems like it could be named Relationship.js, doesn’t it? Regardless, it’s an easy to use library that lets Node.js developers work with a full Neo4j graph. Aseem’s template project demonstrates the essential operations of working with Neo4j, implementing a social network with [:follows] relationships.
Read the details on Aseem’s project website.
Python, Flask, Neo4j Demo App
Py2Neo on Flask in Pythonby Carson McDonald
Tweet
The app is a simple data explorer with bookmarking ability to show off some of the features of Neo4j. A subset of data from a Stack Exchange CC data dump, specifically Programers Stack Exchange, is used to populate a sample database. The bookmarking feature allows for weights to be added for later use in recommendations.
Neo4j Grails Demo
Grails Neo4j plugin on Grails in GroovyBy Stefan Armbruster
Tweet
When you want to get right to coding up your great application idea, having a clean project template with all the bits in place helps enormously to get you started. Stefan has provided that here for Grails developers.
Read more about Neo4j for Grails at the project repository and Stefan’s blog about Grails Neo4j.
Neo4j or Bust
.NET Neo4jClient in ASP.NET via Sinatra and Ruby proxy on HerokuBy Romiko Derbynew
Tweet
Neo4j or Bust (aka FrictionFree.org) is an impressive integration of Heroku (to access Neo4j) and AppHarbor (to host the .NET application), to create a website that lets you discover and follow interesting people. This is classic social networking: based on who you know and driven by your interests, you use your network of connections to find new people.
Learn all of Romiko’s secrets in his blog post about the project.
NeoQuote
Spring Data Neo4j on Sinatra in JRubyBy Tomás Müller
Tweet
Assembling an ambitious stack of technology, NeoQuote delivers a stock-exchange symbol lookup application, with integrated voice search! Yes, I know you want to try it right away. Open a new window, we’ll wait.
From idea to implementation, you can follow the step-by-step development in Tomás’ blog post.
Scalatra Neo4j
Neo4j REST on Scalatra in ScalaBy Hannu Leinonen
Tweet
Ruby’s Sinatra has inspired many other lightweight web frameworks to take the stage. Scalatra is Scala’s implementation. With Scalatra Neo4j, Hannu shows how to take that easy development style one step further to integrate with Neo4j, quick-stepping past boilerplate code to get right to dancing in your application domain.
Dig the details at Hannu’s github repository.
Want to learn more, or hear from the developer’s themselves? We’re having a “virtual meetup” voting party next week to hear from the project authors and vote. Authors and voters, join us.
Cheers,
Andreas
