Life & fun · alternatives · 2026
24 alternatives to Empirical – a language for time-series analysis
A language for time-series analysis
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… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier. Empirical – a language for time-series analysis launched in 2019; newer entries below may have overtaken it.
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2020 · leeoniya.github.io · its alternatives →
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📈 A small, fast chart for time series, lines, areas, ohlc & bars - leeoniya/uPlot
2019 · github.com · its alternatives →
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A Python toolkit for rule-based/unsupervised anomaly detection in time series - arundo/adtk
2019 · github.com · its alternatives →
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Hello HN. I've always found writing data visualisation scripts boring and repetitive in data science workflows earlier in my career, so I built this tool to automate it. The available methods are based on my experience in econometrics where histograms and scatterplots were the starting points to check data distributions. The link is to the documentation and the app is freely available at https://visprex.com, and if you're curious about the implementation it's open source at https://github.com/visprex/visprex. I'd appreciate any comments and feedback!
2024 · docs.visprex.com · its alternatives →
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Data analysis that works for engineers. World-leading time series data analysis platform for engineering teams.
2020 · getmarple.io · its alternatives →
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The easiest way for teams to answer when will you be done?
2025 · empirical.app · its alternatives →
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Pandas is the most common python library for data analytics
2016 · amazon.com · its alternatives →
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Marple▲86Hi HN! I’m Nero from Marple, and we build time series tooling for Aerospace & Automotive. In 2020, we launched our first product: a sort of Grafana on steroids designed for high performance analysis. After integrating with a lot of different TS databases, we kept running into their design limits when trying to deliver the best performance & UX to our users. That’s why we are launching Marple DB today (https://www.marpledata.com/marple-db). Marple DB transforms measurements files (CSV, MAT, HDF5, TDMS, …) into a queryable lakehouse. We designed for extreme ingestion…
2022 · marpledata.com · its alternatives →
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2021 · mkhan45.github.io · its alternatives →
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Parsers▲300Extract structured data and visualize it without code
2019 · parsers.me · its alternatives →
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A tiny, embeddable language implemented in ANSI C. Contribute to rxi/fe development by creating an account on GitHub.
2020 · github.com · its alternatives →
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Customer analytics for everyone. No code or SQL required.
2020 · indicative.com · its alternatives →
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:zap: A parser for electronic component descriptions - kitspace/electro-grammar
2018 · github.com · its alternatives →
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Financial data visualization experiments built with Svelte and Three.js, exploring the boundaries of client-side performance, immersion, and data density.
2019 · timedoor.xyz · its alternatives →
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Evidence Embedded Analyticsfree tier, from $2500/mo▲122A modern dev workflow for your most important data products
Dec 2025 · evidence.dev · its alternatives →
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The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact. - code-kern-ai/refinery
2022 · github.com · its alternatives →
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Probly was built to reduce context-switching between spreadsheet applications, Python notebooks, and AI tools. It’s a simple spreadsheet that lets you talk to your data. Need pandas analysis? Just ask in plain English, and the code runs right in your browser. Want a chart? Just ask. While there are tools available in this space like TheBricks, Probly is a minimalist, open-source solution built with React, TypeScript, Next.js, Handsontable, Hyperformula, Apache Echarts, OpenAI, and Pyodide. It's still a work in progress, but it's already useful for my daily tasks.
2025 · github.com · its alternatives →
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A fast functional language based on two level type theory - ehatti/peridot
2022 · github.com · its alternatives →
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A practical book on Data Analysis with Rust Notebooks that teaches you the concepts and how they’re implemented in practice.
2020 · datacrayon.com · its alternatives →
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Hi HN – Excited to share a beta for Minard, a new data visualization toolkit we've been working on that lets you generate publication-quality charts with simple natural language (throw away your matplotlib docs and rejoice!). Upload or import CSVs, Excel, and JSON, give it a spin, and please let us know what you think! (Long format data works best for now) For those curious, the stack is a simple Django app with HTMX/Alpine and all of the charts are specified and rendered as Vega (https://vega.github.io/vega/). Lots of LLM function calling under the hood as well.
2024 · minard.ai · its alternatives →
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:microscope: Empirical CLI. Contribute to empiricalci/emp development by creating an account on GitHub.
2016 · github.com · its alternatives →
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Warp 10▲58Collect, store, and analyze time series and geolocated data
2020 · warp10.io · its alternatives →
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Python dev to an NLP data scientist with practical projects
2022 · its alternatives →
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- Plotting 3 years of hourly data in 150ms alternatives
- uPlot.js – An exceptionally fast, tiny time series chart alternatives
- ADTK – new Python library for time series anomaly detection alternatives
- Visprex – Open-source, in-browser data visualisation tool for CSV files alternatives
- Marple – Visualising millions of datapoints for engineers alternatives
Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →