Empirical – a language for time-series analysis
A language for time-series analysis
Empirical – a language for time-series analysis launched on May 21, 2019 with 111 votes, #261 of 3,072 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 7 years on.
In plain words
Empirical is a programming language designed specifically for time-series analysis. It treats dataframes as standard values and includes variables, types, and functions for working with temporal data. The language allows users to load and manipulate datasets like trades, quotes, and events through a straightforward syntax. Empirical is intended for analysts and developers who need to perform time-series computations and data transformations efficiently.
written from the facts on this page · September 2026
From the sources
Empirical is a normal language with variables, types, functions, etc. Dataframes are just values. >>> let trades = load("trades.csv"), quotes = load("quotes.csv"), events = load("events.csv") >>> trades symbol timestamp price size AAPL 2019-05-01 09:30:00.578802 210.5200 780 AAPL 2019-05-01 09:30:00.580485 210.8100 390 BAC 2019-05-01 09:30:00.629205 30.2500 510 CVX 2019-05-01 09:30:00.944122 117.8000 5860 AAPL 2019-05-01 09:30:01.002405 211.1300 320 AAPL 2019-05-01 09:30:01.066917 211.1186 310 AAPL 2019-05-01 09:30:01.118968 211.0000 730 BAC 2019-05-01 09:30:01.186416 30.2450 380 CVX 2019-05-01 09:30:01.639577 118.2550 2880 ... ... ... ... Table syntax is part of of the language. >>> from…from empirical-soft.com
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