Search Results for "google-visualization-python"

...Our goal is to build a spreadsheet that enables you to pull your data from its source (SaaS, Database, CSV, API, etc) and then work with that data using the most popular data science tools today (Python, Pandas, SQL, JS, Excel Formulas, etc). Quadratic has no environment to configure. The grid runs entirely in the browser with no backend service. This makes our grids completely portable and very easy to share. Quadratic has Python library support built-in. Bring the latest open-source tools directly to your spreadsheet. Quickly write code and see the output in full detail. ...

...The project provides both command-line and graphical interfaces that let users access real-time market data, economic indicators, and advanced analytics directly from a unified terminal environment, supporting stocks, forex, commodities, and more. Its architecture integrates Python, TypeScript, Rust, and React, reflecting both a robust data processing backend and a modern desktop UI experience. FinceptTerminal emphasizes AI-powered insights and automation, offering technical and fundamental analysis, sentiment data, and customizable workflows that help traders and analysts make informed decisions efficiently. ...

...Inspired by CCXT for cryptocurrency exchanges, PMXT standardizes market data, trading operations, and event structures for platforms like Polymarket, Kalshi, Limitless, Smarkets, and more. The framework simplifies working with prediction markets by normalizing differences in APIs, formats, and conventions across providers. PMXT supports both Python and TypeScript SDKs, making it easy for developers to build trading bots, analytics tools, and AI-powered market applications. It also includes MCP support for AI agents, enabling integration with tools like Claude, Cursor, and other MCP-compatible environments. With support for unified order placement, market discovery, and migration tools for Dome API users, PMXT streamlines development in the growing prediction markets ecosystem.

ezBookkeeping is an open source, powerful, self-hosted personal finance app that is easy to use. It helps you record daily transactions, import data from various sources, and quickly search and filter your bills. You can analyze historical data using built-in charts or perform custom queries with your own chart dimensions to better understand spending patterns and financial trends. ezBookkeeping is easy to deploy, and you can start it with just one single Docker command. Designed to be...

...The system connects to financial institutions using services like Plaid or allows users to import transaction data manually via CSV files, giving flexibility depending on user preferences and region. One of its defining characteristics is its spreadsheet-first approach, where all financial data is exported into tools like Google Sheets or local CSV files for full customization and control. Users can build their own formulas, dashboards, and financial models on top of the raw data, making it highly adaptable to different financial strategies.