Designed for data-driven teams in industry, energy and trading. It enables seamless data integration, high-performance analytics, automated workflows, and full traceability.
Discover insights faster, manage risk smarter, and drive confident decision-making.
Built to handle complexity and data at scale.
The power of The Timeseries Refinery
Integrate seamlessly data from your systems - IOT, metering, SCADA, ETRM - with market data and business assumptions, delivering powerful operational dashboards that give you real-time control over your assets, P&L and risk exposure.
Gain instant transparency into the origins of any version of any indicator — see exactly how it was built, who created it, when it was last updated and correct immediately where necessary. This level of traceability is essential for fast troubleshooting and trading operations in regulated markets.
Seamlessly connect to your market data providers to instantly uncover patterns and correlations, build high-quality operational indicators, and automate key tasks — all in one streamlined workflow.
Effortlessly assess your business across a wide range of cross-risk scenarios to pinpoint your most critical risk factors — and take action to reduce them with confidence.
Timeseer automates validation and correction for time series data - perfect for cleaning metering and IoT data before billing, forecasting and other use cases.
ARK connects to a wide range of market data providers via ready-to-use APIs. Your data is integrated instantly—no development, no maintenance, just results.
Rebase delivers fast, accurate localized renewable production forecasts and consumption forecasts—ideal for industries managing Block + Spot power contracts.
The Timeseries Refinery integrates seamlessly with Previse Coral ETRM, enabling real-time position and risk management for market participants.
"Using Pythonian refinery gives several satisfaction points, making our experience more valuable :
- fast response in a web-based UI
- history recording of time-series values combined with tools to exploit it
- creation of formulas with large choice of operators
- even larger possibilities integrating python scripts.
Pythonian team listens to our needs to best meet our challenges in the energy world.
"
Energy Portfolio Management @ TotalEnergies
"Timeseries Refinery has been an essential solution to value our investments in battery storage with confidence. It helped us assess the quality of our scenarios and pinpoint our risks to finetune our design."
Director New Markets @ KallistaEnergy
"I love the flexibility of the system, rework workers on my PC connected to Bloomberg and the web/DB server on a Windows server, it's a dream in terms of development speed."
Senior Oil Analyst @ PetroIneos
"Pythonian has demonstrated the ability to aggregate raw data from EV charging points in useful strategic insights as individual dashboards for all our 400 stores in no time."
Electric Mobility Manager @ SIPLEC E.Leclerc.
No matter who you are
The Timeseries Refinery includes a rich set of built-in operators to create advanced, real-time calculations with ease. Designed to be intuitive and user-friendly, it ensures full traceability and auditability accross your system, from the dashboards down to the primary sources.
Build dashboards in just a few clicks — customize menu sizes, choose from multiple graph types, and quickly find the right data with a powerful, real-time search through the series catalog.
Easily upload and download data with our Excel client. Design agile operational interfaces in Excel while working with a stable, shareable data catalog from the Refinery.
Exploring what-if scenarios requires flexible manipulation of series groups — combining demand forecasts, generation capacity plans, and fuel price scenarios is essential to evaluate long-term risks with confidence.
The powerful Python API lets you interact directly with the Time Series Refinery — no SQL needed. Every operation available in the UI is fully accessible via code, unlocking limitless possibilities for automation, data science and AI.
Easily navigate forecast versions, detect data gaps, and monitor insertion lags — ensuring your models stay reliable and production-ready.
The Timeseries Refinery includes a built-in task scheduler that lets you integrate your own Python scripts with ease. Configure parameters directly through the user interface and schedule tasks using predefined settings — streamlining automation across your workflows.
The Timeseries Refinery offers a robust REST API, making it easy to integrate with your existing application ecosystem and build new solutions on top — regardless of the technology stack.
Instances of Timeseries Refinery can be federated per instance with dedicated access rights. Such architecture empowers domain teams to own and manage their time series data, enabling faster insights and better scalability. It ensures high data quality and governance across the organization.
Our offers
Open source
Behind The Timeseries Refinery
Pythonian is a cross disciplinary team with various area of expertise : Software engineering, Data Management, Modelisation, Energy markets, Meteo/Hydro
Designed and used by experts from: