Every action in Marple is designed to be fast, saving you time with every click. We created custom algorithms for:
New users take an average of 3 hours to be onboarded in Marple. Once that is done, they can collaborate easier than with any other tools:
People spend a lot of time on learning new tools for visualisation and analysis. Onboarding in Marple takes 3 hours instead of 3 weeks
Marple integrates with your existing tools for storage, scripting, reporting and infrastructure. We have experience with a variety of data sources, both time series databases and log file formats.
Marple is without doubt the champion in engineering data visualisation. It’s fast, easy to use and focuses on the features I need. Their customer support is super responsive.
Marple helps us collect, share and analyse all the data we need to ensure our engineers bring the fastest car at the competition.
Marple's automated test reports give us a quick and consistent view of our test logs so we can spot any anomalies before we've even left the track, and it's easily accessible to every member of the team! It's a great feature that I would have loved to have developed myself, but I'm glad I didn't have to!
Marple is so, so easy to use. I can send a share link to someone who has never used Marple before and they will know what to do. Keep it up :)
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Marple is a software platform that is specialised in the processing, visualisation and analysis of large time series data sets typically used in engineering and R&D. Think about visualising & analysing the data coming from your sensors, in a cloud platform!
As an engineer or data scientist, when you are dealing with time series data sets coming from complex machines or systems. For example during the development of a new aircraft, or when testing the characteristics of an electric motor.
Yes! You can create a free account and explore what Marple has to offer.
We have a free tier and a paid tier. If you are using Marple as an individual, Marple is free. For teams and advanced features check our pricing for more info!
Once you created an account you can simply drag & drop your data sets in the data library. Marple takes care of the rest. You can automate your data flow to Marple using the Python SDK or our API.
Marple supports over 10 different file formats such as .CSV, .MAT, .MDF, ULOG, ... Check out our documentation to find out more.
Yes! Currently, we support time series data from an Influx database. Using the URL and an API token of your InfluxDB you can make a connection to your data in no time.
Yes! We have both a cloud offering as well as a self-managed offering using Docker. Get in touch with us about our self-managed solution and we’re happy to set you on our way.
Yes, absolutely! No one apart from you and your team members can access your data. Marple is hosted on AWS and is regulary checked by ethical hackers.
Yes, Marple works best in a team! Once you created a workspace, you can invite other team members via their email or even create an invite link. They will be able to see all data uploaded as well as all the projects.
We are experimenting with AI functionality. We currently use AI to make automatic visualisations based on input of the user. Next to that users can ask questions about their data using GPT technology. We continue to look for possibilities to implement AI to make data analysis even more powerful!
Marple is very popular in automotive, aerospace, energy and manufacturing companies. It is mostly used by engineers and data scientists.