Streamline your engineering team

A complete time series analysis suite

A screenshot of Marple showing the visualisation features for time series dataA screenshot of Marple with the automated test reports feature for time series dataA screenshot of Marple with the GPT AI feature for time series data
Marple accelerates engineering for
Lilium Customer LogoHardt Hyperloop LogoAtlas Copco Customer LogoVerhaert Customer LogoAura Aero Customer Logo

Software that makes you fast

Speed up your data analysis workflow by 50%

Visualising
Searching datasets
Generating test reports

Every action in Marple is designed to be fast, saving you time with every click. We created custom algorithms for:

Centralising enables collaboration

Make your data available for everyone

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:

Two calendars, showing how onboarding in Marple takes a fraction of the time of 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

Integrate in your workflow

Save costs by using what you already have

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.

A diagram showing all the tools Marple can integrate with, including time series databases, industry standard log files and infrastructure setups
Using something else?
Get in touch

What people say about Marple

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 :)

Use cases

Marple pushes innovation across engineering domains

A testing lab with machines
Test Bench Data Analysis
Two cars chasing each other in a motorsport race
Advanced Motorsport
Solar panels arranged in arrays
Energy Monitoring
A diagram showing a PID controller
Control Systems Testing
A vessel being tracked by monitoring
Vessel Monitoring
A jet aircraft
Flight Testing
A set of simulink simulation blocks
Simulation Analysis
A professional cyclist riding on a bike
Athlete Performance Analysis
Data from a vibration experiment
Vibration Analysis
A well-engineered car
Vehicle Testing
A candlestick chart of stock prices
Stock Market Analysis
A hardware logger for CAN data
CAN Data Analysis

FAQ

Can't find the answer to your question? Get in touch

What is Marple?

keyboard_arrow_down

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!

When should I use Marple?

keyboard_arrow_down

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.

Can I try Marple?

keyboard_arrow_down

Yes! You can create a free account and explore what Marple has to offer.

Is Marple free?

keyboard_arrow_down

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!

How can I get my data in Marple?

keyboard_arrow_down

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.

What data formats does Marple support?

keyboard_arrow_down

Marple supports over 10 different file formats such as .CSV, .MAT, .MDF, ULOG, ... Check out our documentation to find out more.

Does Marple support data from databases?

keyboard_arrow_down

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.

Can I deploy Marple on my own infrastructure?

keyboard_arrow_down

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.

Is my data safe on Marple?

keyboard_arrow_down

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.

Can I add other users to my workspace?

keyboard_arrow_down

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.

Does Marple use AI?

keyboard_arrow_down

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!

Who uses Marple?

keyboard_arrow_down

Marple is very popular in automotive, aerospace, energy and manufacturing companies. It is mostly used by engineers and data scientists.

Questions?

Our team is happy to answer your questions, give you a demo or show a customer use case.

Portrait of Matthias Baert, founder of MarplePortrait of Nero Vanbiervliet, founder of Marple
Contact Us