Umami is a privacy-first web and product analytics platform. Traffic, campaigns, behavior, conversions, and revenue in one place. No cookies, no surveillance, self-hosted or in the cloud.
- analytics
- charts
- statistics
- google-analytics
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Umami is a privacy-first web and product analytics platform. Traffic, campaigns, behavior, conversions, and revenue in one place. No cookies, no surveillance, self-hosted or in the cloud.
Open source, privacy-first web analytics. Lightweight, cookie-free Google Analytics alternative. Self-hosted or cloud.
GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.
The Cloud Native AI Platform
A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
Fast and Accurate ML in 3 Lines of Code
Modin: Scale your Pandas workflows by changing a single line of code
Perform data science on data that remains in someone else's server
An open source python library for automated feature engineering
Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
The user infrastructure platform. You choose the frontend, backend, and database. Hexclave handles everything else.
3D force-directed graph component using ThreeJS/WebGL
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
Agentic BI. Analytics at the speed of code ⚡️
The AI-native JSON Gantt chart engine. Dependency-free interactive timelines with React, script-tag, CLI, topological DAG solver, and formal JSON schema.
Countly is a privacy-first, AI-powered analytics and engagement platform for understanding and optimizing customer journeys across digital applications, from desktop and mobile to IoT and connected environments.
Automate code & data workflows with interactive Elixir notebooks
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.
Shopify Excel Ledger intelligence platform with dark aesthetic, multi-sheet workbook analysis, 7 departmental dashboards, and live comparative benchmarking.
Translated词光 (Ciguang, "word light") · Word Atlas — Illustrated IELTS vocabulary with 7,298 words, UK/US audio and FSRS review. Open-source app + CC BY 4.0 dataset.
Self-hosted, Node.js based analytics tool for those who care about privacy.
Next generation of automated data exploratory analysis and visualization platform.
[Deprecated!] This is a data visualization project that converts historical data rankings into dynamic bar charts.
Self hosted Spotify tracking dashboard