Here is a list of examples of modules usage to make you understand how you can use Ryax. Ryax provides some base modules for you to start, but you can create your own in order to fit with your requirements. This list is just here to give you a taste of what kinds of module can be used in Ryax.
MQTT is an open protocol for the Internet of Things (IoT). With this module a workflow can receive data directly from an MQTT broker: for every MQTT messages received, a message in Ryax containing the payload will be triggered.
Wait for a new request from an integrated form
Ryax integrates a form system. You can easily build an HTLM form, directly from a Ryax Workflow. Every time that a form is sent by a user, the workflow will be triggered, processing the associated data.
On a new file in a Microsoft SharePoint directory
This module looks for new files that are added to a particular directory. When a new file is added, this module sends the file to the next steps of the workflow.
Ryax can also be connected to Dropbox, Google Docs or any cloud storage that provides an API.
MQTT is an open protocol for the Internet of Things (IoT). This module is able to publish data using this protocol to an MQTT broker.
Send an email with an attached file
Send an email. This module is useful in multiple cases:
alerting that something happened
exporting results to the right person
send a file
Webhooking is a standard way for web-services to alert other web-services that something happened. With this module you can connect a webhook to Ryax!
Push data to a MySQL database
This module makes SQL request to a MySQL database.
Publish on a webpage
To speed up developments of a workflow, we may want to get its results without pushing them to any external system. Ryax integrates a way to display some intermediate data of a workflow. This data will be available on a platform-hosted webpage.
Detect object on an image using TensorFlow
Ryax supports most popular Machine Learning frameworks, such as Tensorflow. For example, this module uses TensorFlow to build an object detection processor. As soon as this module is ready, any Ryax user (even those with lack of knowledge on Deep Learning methods), can use this module. Users only need to provide the module’s inputs and outputs ; this information is easily customizable through Ryax’s WebUI. Thus, even inexperienced users in Deep Learning can seamlessly build a complex workflow to detect objects in videos.
Run python code
You need specific code for your workflow? Simply use some Python code.
Integrating new python code in Ryax is straight forward, all you need is a file named
handle.py containing a function called
handler that takes a
dict as input and returns a
dict with the output. This
handler function will call your custom code ; a few clicks and you are good to go!
Cut a video frame by frame
This module takes videos as input. It then cuts into frames (based on the input’s original framerate). This module is useful to perform static image analyses on videos, like detecting object such as cars, signs, faces, and such.
Run Spark job
If you already have some analyses available in other platforms, like Spark or Slurm, you can use Ryax to abstract the use of these complex systems. This module launches a Spark job and waits for the result.
Filter data in in any part of a workflow.
Draw graph from data using matplotlib
As you can freely use Python code in Ryax, you can also produce graphs using the famous Matplotlib library. Ryax integrates a dependency management system for extra Python libraries, to easily use them.
Transform some binary data into a CSV file
The flexibility of Ryax processors allow for any data operation. This module performs a standard Extract-Transform-Load (ETL) operation. This module transforms some binary data into a more standard and widely-used CSV file.
Render a report in docx format
Another use of Ryax is to automatically render reports. As Ryax can grab data from a wide range of systems, conduct any kind of analysis, it is very useful for producing highly detailed reporting.
Run a docker that analyses data
Ryax supports OCI compliant containers (like Docker).
Using Ryax Docker module is easy: inputs are given as container parameters, Ryax gets the output from the data printed in
stdout that respect a special format.
Merge 2 data streams using with-latest-from strategy
You may want to merge 2 streams of data from different sources. For example, 2 IoT sensors may acquire data at different speeds. However, many analyses require syncing the 2 sensors’ data at the same pace. You can use this module to merge 2 data streams with a specific merging strategy: the first stream will be merged with the latest data from the second one. Various merging strategies are available in Ryax, check it out.