Extremely fast Query Engine for DataFrames, written in Rust
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- dataframe
- dataframes
- rust
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Extremely fast Query Engine for DataFrames, written in Rust
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.
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
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!
📊 Cube Core is open-source semantic layer for AI, BI and embedded analytics
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.
Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics
Session replay, cobrowsing and product analytics you can self-host. Best for reproducing issues and iterating on your product.
A little word cloud generator in Python
TranslatedVue data visualization component library (similar to Alibaba DataV, for large-screen data display), providing components such as SVG borders and decorations, charts, water level charts, and flying line charts. Simple and easy to use, updated long-term (React version has been released)
Automatic extraction of relevant features from time series:
Open Source Feature Flags, Experimentation, and Product Analytics
🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
TranslatedChart components 📈📊 built on Vue2.0 and ECharts
the portable Python dataframe library
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Attractive JavaScript charts for jQuery
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.
🕵 Artificial Intelligence for social control of public administration | **This repository does not receive frequent updates. Check out the README**
TranslatedSearch all Chinese NLP datasets, with commonly used English NLP datasets included
CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.
🍰 Progressive <svg> pie, donut, bar and line charts