Open-source alternatives to Qlik Mcp

This project is a collection of educational notes and tutorials focused on Python programming, scientific computing, and data analysis. It serves as a reference for learning language basics, advanced techniques, and object-oriented design. The materials include implementation guides for building linear, logistic, and convolutional neural networks using symbolic graph frameworks. It also provides instruction on manipulating and visualizing structured data frames and performing complex mathematical operations through numerical libraries. The repository includes a system for converting interact

This project is a comprehensive technical reference and programming cheatsheet for the Python language. It serves as a curated catalog of language features, syntax patterns, and standard library functions designed to help developers identify and apply correct coding patterns. The documentation covers a broad range of functional areas, including language fundamentals such as object-oriented structuring, functional logic, and list comprehensions. It also provides guidance on utilizing the standard library for data analysis, file management, networking, and concurrent execution. The reference e

This project is a collection of educational resources and reference implementations for neural network development using TensorFlow. It serves as a comprehensive learning course, machine learning curriculum, and practical implementation guide for building deep learning architectures. The codebase provides instructional materials and examples covering a wide range of model types, including convolutional neural networks for image classification, recurrent networks and long short-term memory cells for sequential data, and autoencoders for generative modeling. It also includes implementations for

A CPU and GPU-accelerated matrix library for data mining

CPU and GPU-accelerated Machine Learning Library

Axiom Model Context Protocol Server

ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.

MCP Server for Chronulus AI Forecasting and Prediction Agents

Multidimensional cluster generation in R

Model Context Protocol (MCP) implementation for Opik enabling seamless IDE integration and unified access to prompts, projects, traces, and metrics.

An unofficial fork of the Ruby graphing library with sexy defaults for hi-res charts. (NOT MAINTAINED)

Bioinformatics for the Scala programming language

High-performance time-series database built on DuckDB. Go implementation.

Perspective is a columnar data analytics library and streaming data visualization engine. It provides an interactive data grid component and notebook analytics widgets designed for processing high-volume data and rendering interactive charts and grids. The system utilizes a high-performance query engine to enable real-time data analysis and streaming dataset visualization. It supports the creation of customizable dashboards and reports that update automatically as new data arrives without requiring full dataset reloads. The project covers large-scale dataset analytics through a schema-driven

bioruby

MCP server for managing and interacting with Flowcore Platform

Timeline visualization application

Crafty statistical graphics for Julia.

JSON handling and processing mcp server

A Model Context Protocol server for generating charts using QuickChart.io . It allows you to create various types of charts through MCP tools.

A Model Context Protocol (MCP) server for GreptimeDB

Utilities and scripts developed as part of Microsoft's Team Data Science Process for productive data science

This project is a Model Context Protocol server that provides an interface for AI agents to programmatically create, read, and modify Excel workbooks. It serves as a bridge that enables large language models to perform spreadsheet automation and data visualization. The server allows AI agents to generate native Excel charts and pivot tables from raw data, transforming structured information into visual summaries. It provides a mechanism for remote spreadsheet management through a protocol-based connectivity layer. The system covers a broad range of spreadsheet manipulation capabilities, incl

Graph layout algorithms in pure Julia

ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.