Perhaps the most relevant statistics data that we could gather is presented here:
Data type/Website parameter | Status or value | Our findings |
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Site title (meta) | Pydicom | | Sticking to between 50-60 characters for meta title length is a good idea. The length of this website's meta title is 9. |
Website meta description | Pydicom Dicom (Digital Imaging in Medicine) is the bread and butter of medical image datasets, storage and transfer. This is the future home of the Pydicom documentation. If you are a Python developer looking to get started with Dicom and Python, this will be the place to learn and contribute! For now, here are some helpful links, and general plan for some of the code bases in the organization. If you want to come and chat, find our community on Gitter, or post an issue on one of our repos.ModulesPydicomIf you want to work with dicom datasets, you should use pydicom. We have started a base of docs here, and see the docs on readthedocs for you to get started.Pynetdicompynetdicom3 is where you want to start if you want to create Service Class Providers (SCPs) or Service Class Users (SCUs). These are the little servers/processes that echo/store/move/find dicom datasets around. This is the bread and butter of the protocol, and is based on the original pynetdicom. We will soon be consolidating these two so that it is less confusing.Deiddeid is a simple module and client that can handle coding (replacement of identifiers) with a study alias. See the documentation base for getting started.Applicationssendit is an example Dockerized web application to recive Dicom images, deidentify using your API (and deid, above), and then send off to different storage locations. This application is under development, and not yet ready for use. See the documentation for details.dicom-database is a simlpified version of sendit, intended for local management of DICOM. This application is under development.ContainersWe will be developing different dicom applications that are container-based. This means using Docker and Singularity to easily deploy servers (more suited for Docker), and general tools and applications (Singularity is more suited for tools on shared resources).Getting Started ContainersDicom-Containers serves equivalent Singularity and Docker containers for working with dicom tools and pydicom. Specifically: getting-started serves a Docker and Singularity container,each of which is a “quick start” image that you can build to easily start using some basic tools for working with dicom files. Currently, the image installs the Dicom ToolKit, along with miniconda3 installed with pydicom and pynetdicom3. pydicom-docs is a container that builds sphinx docs, intended for developers of pydicom that want a solution to develop docs that doesn’t require installing additional dependencies.Dicom ScraperDicom Scraper is a tool under development to detect burned-in pixel annotations with ORC, and remove them. Currently, the Dockerized application is using an older version of scipy and python 2*, and this will be updated. The detection is working relatively good and will still need some testing and tweaking.APIsDicom CookiesAs a new person to Dicom, I found it hard to find and programatically download a quick (and maybe fun?) Dicom dataset. Toward this goal, I created a statically served Dicom Cookies dataset. The human readable entrypoint is here, and you can see it being used programatically here.Coming SoonWe will be creating a set of web application (Dockerized) to be deployed in different cloudy places to work with Dicom. If you are interested in this, please join the effort! Welcome to Pydicom May 29, 2017 We are happy to announce that the new Pydicom site is underway! Pydicom is an effort to bring together a... Previous Next Site last generated: Jul 18, 2017 | The length of the meta description is 3757 characters. Google recommends up to around 280-320 characters at the most. |
Website load speed | Approximately 0.2492 seconds | Website load speed is on a good level, great! But if an improvement can be made, it's always for the better. |
Homepage links | Approximately 52 | A good amount of links and nothing to worry about. |
Size of page HTML | 22.6KB | This is a very good result, as search engines prioritize websites that are quick to load. |
Server data | Server seems to be online. IP adress for this domain is 151.101.113.147. | Due to lack of data, we can't provide a meaningful insight. |
The basic overview not enough? Let's dive deeper.
What is a server? It's basically a physical storage device (one that, sometimes, makes up several virtual servers for the cheaper shared hosting) that holds all the files and databases associated with a specific website or websites. Obviously, it's a touch more complicated than that (servers also have processors), but the essence is quite simple - your browser contacts the server, which then sends all the neccessary information and files to your computer. Each physical server has a unique IP address assigned to it, too, for easy recognition.
If you need more raw data, here's what we managed to gather:
Header information |
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HTTP/1.1 200 OK Server: GitHub.com Content-Type: text/html; charset=utf-8 Strict-Transport-Security: max-age=31557600 Last-Modified: Tue, 18 Jul 2017 17:20:06 GMT Access-Control-Allow-Origin: * Expires: Thu, 28 Dec 2017 20:11:44 GMT Cache-Control: max-age=600 X-GitHub-Request-Id: 91CC:30DF:111EF04:1A41090:5A454DA8 Content-Length: 22838 Accept-Ranges: bytes Date: Thu, 28 Dec 2017 20:01:44 GMT Via: 1.1 varnish Age: 0 Connection: keep-alive X-Served-By: cache-hhn1548-HHN X-Cache: MISS X-Cache-Hits: 0 X-Timer: S1514491304.259366,VS0,VE92 Vary: Accept-Encoding X-Fastly-Request-ID: 62bc3f594e8d5e6ee9091f908110d6f558a09fb2 |
Typos are not uncommon, not even with website addresses. More than that, the more popular the website, the more typos there tend to happen. We have gathered and generated the following list of most frequently encountered mistypes for pydicom.github.io:
Here is a list of some more reports for you to check. If you found this one on pydicom.github.io useful, the following list will be of interest to you, too:
This list contains 370 top level domain variantions for pydicom.github.io domain name: