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Tags: Data science
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1–24 of 65 · Most stars

The easy-to-use open source Business Intelligence and Embedded Analytics tool that lets everyone work with data :bar_chart:

  • analytics
  • businessintelligence
  • dashboard
  • reporting

TranslatedA visual no-code/code-free web crawler/spider. 易采集 (EasySpider, "easy collection"): a visual browser automation testing/data collection/web crawler software that lets you design and execute crawler tasks graphically without code. Alias: ServiceWrapper, an intelligent service wrapping system for Web applications.

Empowering People Ethically 🚀 — Matomo is hiring! Join us → https://matomo.org/jobs Matomo is the leading open-source alternative to Google Analytics, giving you complete control and built-in privacy. Easily collect, visualise, and analyse data from websites & apps. Star us on GitHub ⭐️ – Pull Requests welcome!

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

  • forecasting
  • r
  • python

积木报表:免费开源的报表与 BI 工具,可视化报表设计、数据大屏、仪表盘、打印设计、数据填报一站搞定;AI 一句话生成报表和大屏,Chat2BI 智能问数,类 Excel 在线设计,兼容国产信创数据源,是帆软、润乾报表的免费替代。

  • report
  • ireport
  • birt
  • highcharts

Translated🔥 An intelligent data-querying system based on large language models and RAG, a powerful tool for conversational data analysis. Text-to-SQL Generation via LLMs using RAG.

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

Translated📈📊🚀🚀🚀An elegant modern declarative data visualization chart framework for iOS, iPadOS and macOS. Extremely powerful, supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types. It also supports donut charts, radar charts and mixed charts, among dozens of types of infographic charts, fully meeting work needs.

  • chart
  • column-chart
  • line-charts
  • pie-chart

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.