Flex Analytics · Ghent, Belgium

Making large-scale data analytics
ordinary.

Data engineering, private AI, interactive analytics and time-series machine learning, for teams whose data is too large or too fast for the tools they have. Built on the open-source libraries Flex Analytics maintains.

A range brushed on a line chart of 100 million rows, after which the linked histogram re-aggregates over the selected range
Recorded on the FlexViz live demo.

What Flex Analytics does.

Four capabilities, on data that has outgrown the tooling around it.

01Interactive analytics at scale

Engineers explore years of sensor data in the browser, without downsampling by hand.

02Time-series machine learning

Models on long, irregular sensor and wearable signals, validated the way the domain expects.

03Data engineering

Sensor and operational data lands raw, auditable, and ready for analysis on a medallion architecture.

04Private and on-device AI

Language and vision models run where the data already is.

What we’ve achieved.

  • Open-source impact

    Tools the industry runs on

    tsflex, plotly-resampler, tsdownsample and argminmax, with FlexViz built on top. 34M+ PyPI downloads across the Python tools and 14M crates.io downloads of argminmax.

    argminmax ships inside Polars. Engineers at Mercedes-Benz, BETA Technologies, SpaceX, Airbus, Blue Robotics, Colruyt, JPMorgan, Nvidia, Renson, Virtual Vehicle and WorldQuant have filed issues, contributed or written in about the tools.

  • Competitions

    1st place in both UbiComp 2024 HASCA challenges

    The SHL and WEAR challenges at UbiComp/ISWC 2024, both using tsflex for feature extraction. 3rd of 816 teams in the Kaggle Tabular Playground Series of April 2022, and 11th of 807 in BirdCLEF 2022, a gold medal.

  • Research

    Twelve peer-reviewed publications and a filed patent

    Nine as shared first author, plus a filed US patent on intraocular lens power prediction. Time-series visualization, sleep staging, activity recognition, wearable data quality and clinical decision-making.

Publications and competitions

The tools behind the work.

Five open-source projects: FlexViz under Apache-2.0, and plotly-resampler, tsflex, tsdownsample and argminmax under MIT. They are what the consulting work is built on, and they stay open.

All five projects

Who is behind it.

Flex Analytics BV is Jeroen Van Der Donckt, PhD in Computer Science Engineering from Ghent University and maintainer of plotly-resampler, tsflex, tsdownsample, argminmax and FlexViz. Based in Ghent, Belgium. The firm takes on consulting in data engineering, private AI, interactive analytics, and time-series machine learning.

The tools began as research at Ghent University, in the predict-idlab group. plotly-resampler, tsflex and tsdownsample stay under predict-idlab on GitHub; FlexViz and the newer work live under flex-analytics.

Flex Analytics BV · Ghent, Belgium · BE 1017.198.418

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