Dev tools · alternatives · 2026
24 alternatives to Tea-tasting, a Python package for the statistical analysis of A/B tests
I'm excited to introduce tea-tasting, a Python package for the statistical analysis of A/B tests It features Student's t-test, Bootstrap, variance reduction using CUPED, power analysis, and other statistical methods. tea-tasting supports a wide range of data backends, including BigQuery, ClickHouse, PostgreSQL, Snowflake, Spark, and more, all thanks to Ibis. I consider it ready for important tasks and use it for the analysis of switchback experiments in my work.
Tea-tasting is a Python package for statistical analysis of A/B tests that implements Student's t-test, Bootstrap, CUPED variance reduction, and power analysis methods. It connects to multiple data backends including… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Tea-tasting, a Python package for the statistical analysis of A/B tests launched in 2024; newer entries below may have overtaken it.
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AI Nutrition intelligence that understands food globally
Nov 2025 · apps.apple.com · its alternatives →
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Hey, guys. I've just made a plugin which turns your pandas dataframe into a tableau-style component. It allows you to explore the dataframe with easy drag-and-drop UI. You can use PyGWalker in Jupyter, Google Colab, or even Kaggle Notebook to easily explore your data and generate interactive visualizations. PyGWalker (pronounced like "Pig Walker", just for fun) is named as an abbreviation of "Python binding of Graphic Walker". Here are some links to check it out: The Github Repo: https://github.com/Kanaries/pygwalker Use PyGWalker in Kaggle:…
2023 · github.com · its alternatives →
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Hi HN! Erik here from Banana (formerly the serverless GPU platform), excited to show you what we’ve been working on next: Fructose Fructose is a python package to call LLMs as strongly typed functions. It uses function type signatures to guide the generation and guarantee a correctly typed output, in whatever basic/complex python datatype requested. By guaranteeing output structure, we believe this will enable more complex applications to be built, interweaving code with LLMs with code. For now, we’ve shipped Fructose as a client-only library simply calling gpt-4 (by default) with json…
2024 · github.com · its alternatives →
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Recently there seem to be a surge in SQLite related projects. TeaTime is riding that wave... A couple of years ago I was intrigued by phiresky's post[0] about querying SQLite over HTTP. It made me think that if anyone can publish a database using GitHub Pages, I could probably build a frontend in which users can decide which database to query. TeaTime is like that - when you first visit it, you'll need to choose your database. Everyone can create additional databases[1]. TeaTime then queries it, and fetches files using an IPFS gateway (I'm looking into using Helia so that users are also…
2024 · github.com · its alternatives →
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🐢 bayesAB: Fast Bayesian Methods for A/B Testing. Contribute to FrankPortman/bayesAB development by creating an account on GitHub.
2017 · github.com · its alternatives →
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A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile - target/matrixprofile-ts
2019 · github.com · its alternatives →
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Maximize conversions with no-code A/B testing and analytics
2024 · amplitude.com · its alternatives →
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Hi HN! I've been deep in the specialty coffee rabbit hole for a few years and built this tool to help me dial in espresso and pourover more systematically. *What it does:* • Extraction Compass – click where your shot lands (sour/bitter × weak/strong), get diagnosis and adjustments. It factors in your bean's origin, processing method, roast level, and variety. • Pourover recipes from Hoffmann, Rao, Hedrick, Kasuya (4:6) with step-by-step timer. Water amounts auto-calculate based on your dose. • Interactive WCR Flavor Wheel based on the World Coffee Research Sensory Lexicon 2.0.…
Dec 2025 · brewgreat.coffee · its alternatives →
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Hi HN! I'm excited to share Autolabel, an open-source Python library to label and enrich text datasets with any Large Language Model (LLM) of your choice. We built Autolabel because access to clean, labeled data is a huge bottleneck for most ML/data science teams. The most capable LLMs are able to label data with high accuracy, and at a fraction of the cost and time compared to manual labeling. With Autolabel, you can leverage LLMs to label any text dataset with <5 lines of code. We’re eager for your feedback!
2023 · github.com · its alternatives →
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- 13PI
For far to long ingredient parsers been unavailable to the public. Either due to obsene complexity: https://github.com/nytimes/ingredient-phrase-tagger Or because of the dreaded paywall: https://github.com/mtlynch/zestful-client Wait no longer, I introduce PyIng. An easy to use python package for changing this "2 ounces of spicy melon" into this {name: melon, unit: ounces, qty: 2.0}. https://github.com/whitew1994WW/PyIng
2022 · its alternatives →
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SPyQL (https://github.com/dcmoura/spyql) is SQL with Python in the middle, an open-source project fully written in Python for making command-line data processing more intuitive, readable and powerful. Try mixing in the same pot: a SQL SELECT for providing the structure, Python expressions for defining transformations and conditions, the essence of awk as a data-processing language, and the JSON handling capabilities of jq. How does a SPyQL query looks like? $ spyql “ IMPORT pendulum AS p SELECT (p.now() - p.from_timestamp(purchase_ts)).in_days() AS days_ago, sum_agg(price…
2022 · github.com · its alternatives →
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A library adding some anti-Pythonic syntatic sugar to Python - czheo/syntax_sugar_python
2017 · github.com · its alternatives →
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A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python. - reiinakano/xcessiv
2017 · github.com · its alternatives →
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Personalized Genomics and Proteomics. Main diet: Ensembl, side dishes: SNPs - tariqdaouda/pyGeno
2016 · github.com · its alternatives →
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Brewguide IO▲77Web app summarizing coffee brewing with submitted data.
2018 · brewguide.io · its alternatives →
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Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation - mljar/mljar-supervised
2022 · github.com · its alternatives →
- 20SF
I've made a small Python library, designed for quick-and-easy prototyping of machine learning models. It's built on top of scikit-learn, to serialize and deserialize data from the forms you're likely to have, to the format used in scikit-learn. https://github.com/madman-bob/Smart-Fruit It's pretty bare-bones at the moment, but I thought I'd see if there was any interest before spending too much time on it. Let me know what you think.
2018 · its alternatives →
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I've been doing some data cleaning for my fine tuning projects using LLMs, and decided to just build a package for it as a side project. Check it out here: https://github.com/databonsai/databonsai Some features: - categorization (labelling), transformation and decomposition (text into structured format) - validates llm outputs - batch mode batches up the inputs/outputs so you don't send the prompt (schema, fewshot examples) for every row of data, saving a significant amount of tokens There are some similarities to the Instructor repo, but this is simpler and made for…
2024 · 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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Blazing fast, composable, Pythonic quantile filters. - marmarelis/rolling-quantiles
2021 · github.com · its alternatives →
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OSS Python library for detecting silent ML model failure
2022 · nannyml.com · its alternatives →
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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 →