Try NetworKit for free without any need for installation or compilation. All you need to do is to fill your mail-address below. We will send you a ready-to-use an isolated and secure Jupyter lab instance, with interactive tutorials and software add-ons for using graph algorithms. In this way, you can learn to use state-of-the-art graph standard measures algorithms, such as degree sequences, clustering coefficients, centrality measures and more.
1. Register via mail
It takes 5-10 Minutes to get your instance ready!
2. Receive link to instance
Note: The lifetime starts once the instance is generated.
Your instance has normally the following specs:
CPU: 2x Cores
RAM: 1 GB
HDD: 1 GB
Before we start - if you got here by mistake or sheer randomness and don't know NetworKit yet: Have a look at our project page over at github and also take a look at our website. This service if free of charge (and will be). Your instance is normally available for 24h and will shutdown without notice. There are no permanent storages or backups, so be sure to export all data before your session expires. We do not garantuee both availability in time and resources. A portion of the instance memory is used for the underlying OS and software. Keep that in mind, when reading in bigger graph networks. Without modification of the instance (e.g. installing more packages) the free memory is approx. 700 Mi. This allows for working with graphs in the range of 10-100k nodes.
Since NetworKit is designed to handle much bigger graphs efficiently, feel free to install the tool on your workstation or hpc-environment for a more beefy experience - with millions and billions of nodes. Head over to our website and take a look how to install it or build it from source.
Data Protection (GDPR)
As part of the use of this website, your personal data will be processed by us as the person responsible for data processing and stored for the period necessary to fulfill the specified purposes and legal obligations. In the following, we will inform you about what data it is, how it is processed and what rights you have in this regard.
According to Art. 4 No. 1 General Data Protection Regulation (GDPR), personal data is all information that relates to an identified or identifiable natural person.
Contact details of the department responsible for processing and the company data protection officer
Behördliche Datenschutzbeauftragte der Humboldt-Universität zu Berlin
Unter den Linden 6
When you visit this website, the web server temporarily saves every access of your device in a log file. In addition the registration mail-address is saved in a database (no marketing, only provision of the service). The following data can be recorded and stored until it is automatically deleted:
- Mail-address for registration
- Date and time of access
- Name and URL of the data accessed
- Amount of data transferred
- Message as to whether the retrieval was successful
- Browser and operating system used
- Name of the Internet access provider
- Website from which access is made (referrer URL)
This data is processed for the following purposes:
^- Enabling the use of the website (connection establishment)
- Enabling the use of the cloud service (resource management)
- Administration of the network infrastructure
- Appropriate technical and organizational measures for IT system and information security, taking into account the state of the art
The legal bases for the above processing are:
For processing the visist of the website according to numbers 1-2 Art. 6 Paragraph 1 S.1 lit. b (required for the fulfillment of the website usage contract), For enabling of the cloud service according to number 3 Art. 6 Abs. 1 S.1 lit. c GDPR (legal obligation to implement technical and organizational measures to secure data processing in accordance with Art. 32 GDPR) and Art. 6 Paragraph 1 Clause 1 lit. f GDPR (legitimate interests in data processing for network and information security).
The aforementioned data is automatically deleted from the web server after a defined period of time.