Skip to content
Switch branches/tags
Go to file

Latest commit


Git stats


Failed to load latest commit information.
Latest commit message
Commit time

The code behind You can learn about the data set and the project over here.

FlipKit Development Guide

by Thomas Smith

Part of the goal of the Wymer's DC project is to make components that can be re-used by other groups to make similar web sites. This document will help to guide such an effort.

Before technical work can begin, there are some very important limitations to consider:

First of all, this software package works by keeping data about every image in a single file that's downloaded by the user's web browser. This approach is not feasible for more than a few thousand images! If you want to display more than that, some elements of this project will still be applicable, but you will need to do significant development yourself.

Second, the code in this project makes it difficult for nontechnical users to save the images that they view. However, to view an image in a web browser is to download it. Because of this property of the World Wide Web, it's likely that any experienced web developer would be able to systematically download all of the images from a web site like this. All of the stakeholders should know this, and agree that the substantial accessibility and visibility advantages that can be gained for the collection are worth it. There are some actions you can take to make the images less useful to someone who tries to steal them: limit the image resolution, and add a watermark.

With that out of the way, we can move on to the technical work!

Initial Data Collection

For each image, the FlipKit system needs to know four high-level items.

An identity or accession number

This will become part of the URL of the view of the image, and is used internally for various tracking purposes.

A label or description

This will be shown when viewing the image, and is also used to allow users to search for images.

One or more 'tags'

These tags are used to let users filter the images.

A Google Street View URL showing approximately the same scene

For each image, someone will need to use Google Maps and Street View to approximate the location of the camera when the image was taken. It's most important to get the location correct in this step because the precise orientation (the direction of the camera) can be fine-tuned later in the process.

It's a good idea to put together the data for a small number of images, maybe a dozen, and then begin work on the web development tasks (or hand the data off to the person who will do so). The earlier your team touches each distinct part of the project, the earlier any problems or opportunities can be identified.

Initial Web Development

You should start by thinking about your web hosting situation. There are two parts to the Wymer's DC web site. One,, contains the introduction and project information, which was created using Squarespace, a flexible and easy-to-use web host with attractive templates. The other part is the map interface, which we placed on a subdomain,, hosted on Amazon S3. This was accomplished by using the Squarespace console to set up a CNAME record for pointing to the S3 bucket's static website hosting URL ( More details can be found in the many tutorials about hosting your web site on S3.

The FlipKit map interface should be easy to host in most situations, because it is purely a client-side application. It should be possible to host it from any web server that your organization may run. Alternatively, Amazon S3 may require less coordination in your organization, and it is incredibly inexpensive.

There are two parts to the code. First, we have the front-end, which is a single-page JavaScript application. It's assembled out of several purpose-written modules and a few libraries, using Browserify. The second part is the data collection machinery, which is written in Python with some Makefiles. The front-end shouldn't require many modifications to use in a new project, but the data-collection assumptions are more likely to need revision.

There are some UNIXisms in the code, such as the use of symbolic links, so the experience will be most seamless on a Mac or Linux computer. However, it should be perfectly possible to develop FlipKit web sites on Windows, too.

Getting started developing the FlipKit front-end

Start by making sure you have Node.js and Git installed on your system. Relatively old versions should be OK. Use git to download the project's source code, and then use NPM to install the development tools and some required libraries:

$ git clone
$ cd flipkit
$ npm install .

Now, you should be able to use Gulp to build the web site:

$ node_modules/.bin/gulp
[19:48:04] Using gulpfile ~/src/flipkit/gulpfile.js
[19:48:04] Starting 'browserify'...
[19:48:04] Starting 'htmlReplace'...
[19:48:04] Finished 'htmlReplace' after 25 ms
[19:48:08] Finished 'browserify' after 3.95 s
[19:48:08] Starting 'default'...
[19:48:08] Finished 'default' after 7.5 μs

Now, the build directory should contain the complete web site. In order to use the Google Maps API, you will need to run a web server here. If you have Python installed, you can use python2 -m SimpleHTTPServer or python3 -m http.server. Otherwise, Node certainly has web servers, for example the gulp-webserver package. At this point, you should be able to visit http://localhost:8080/ (or whatever address you've had the dev server listen on) and see a demo version of the web site.

Once that works, you can begin replacing the demo image data with your own.

Getting started adding your own image data

Start with a few images. Make sure they are reasonably-sized JPEG files, and put them in collection/800. The filenames should be be the identity or accession number discussed earlier, with a lower-case .jpg extension.

Make a spreadsheet with exactly these column names: imageID, TITLE, MAPS URL, Tag 1, Tag 2, Refined Position, and CAT Record URL. You can change the names, but it's probably best to start with these and get it working first - you'll need to change various parts of the code too. At first, it's fine if all of the columns except imageID and MAPS URL are empty. Save the spreadsheet as a CSV file, and copy that file to dbwrangle/current.csv.

Change to the dbwrangle directory and run these commands:

virtualenv ./env
source ./env/bin/activate
pip install -r requirements.txt

Two things should happen: the identify program should collect information about all the images in collection/800, and the spreadsheet should get converted into a file called locations.json. If you copy this file to js/imageList.json and run the gulp command again, the web site should get built with your images!

Run gulp dist to minify the javascript and place index.* in the dist/ directory.

It is very likely that you will need to edit dbwrangle/ at some point - it is the most direct interface with the spreadsheet/database. Your data format will probably be different from the one we used for Wymer's DC in some way or another.

Putting your version of the web site online for the first time

Google Maps requires an API key before it can be used in many situations. FlipKit is distributed with an API key that allows use on 'localhost', but not anywhere else. So you will need to change line four of app.js to read GoogleMapsLoader.KEY = 'your key here!'.

After rebuilding the site with Gulp, you should be able to put everything in the dist directory onto a web server and have it work correctly! This completes the first "iteration" - you have touched almost all of the major components of the project, and you have something to show off.

Fine-tuning the positioning of the images

FlipKit thinks of images as being anchored by the Street View point that produces a similar view. FlipKit includes an "adjustment mode" that allows you to fine-tune the orientation of each image in Street View. You can activate it by setting the variable useAdjustmentMode to true in js/fancy.js and re-building the web site with gulp. When adjustment mode is active, you can use the following keys to control the view:

  • a: make the image bigger
  • s: make the image smaller
  • up-arrow: move the image up
  • down-arrow: move the image down
  • left-arrow: move the image left
  • right-arrow: move the image right
  • space: flip the historical image on and off
  • n: change to the next image by imageID
  • p: change to the previous image

When you press one of the keys that manipulates the image's position, some JSON text appears in the white box on the left side of the screen. If you copy and paste this text into the Refined Position column of the spreadsheet, then rebuild the imageList.json file and the web site, then the image will appear at its adjusted position from then on.


This has been an overview of all of the technical tasks that you will need to do to put together a web site similar to Wymer's DC. If something doesn't work and you can't figure out why, feel free to open an issue ticket on the FlipKit GitHub project, The newest version of this development guide will always be available at Contributions to increase the generality of the data processing, or add interesting features, would always be welcome. Thanks and happy hacking!


Map and Google Street View interface to historic photographs




No releases published


No packages published