Showing 1983 open source projects for "source"

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  • 1
    FinRobot

    FinRobot

    An Open-Source AI Agent Platform for Financial Analysis using LLMs

    FinRobot is an open-source AI framework focused on automating financial data workflows by combining data ingestion, feature engineering, model training, and automated decision-making pipelines tailored for quantitative finance applications. It provides developers and quants with structured modules to fetch market data, process time series, generate technical indicators, and construct features appropriate for machine learning models, while also supporting backtesting and evaluation metrics to measure strategy performance. ...
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  • 2
    The XRP Ledger

    The XRP Ledger

    A decentralized cryptographic ledger

    The XRP Ledger is an open source, decentralized and permissionless blockchain technology powered by a network of peer-to-peer servers. It allows for really fast settlement of transactions- within 3-5 seconds- without a central intermediary and in a secure distributed database. The native digital asset on the XRP Ledger is the XRP. A public,counterparty-free asset, it is designed to bridge many different currencies being used worldwide, and is available for anyone to access and trade on the open market. ...
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  • 3
    Liberapay

    Liberapay

    Source code of the recurrent donations platform Liberapay

    Liberapay is an open-source platform designed to facilitate recurring donations to creators, developers, and projects, with a strong emphasis on transparency, privacy, and sustainability. It operates as a nonprofit service that allows users to financially support individuals or teams on a weekly, monthly, or yearly basis without expecting rewards in return.
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  • 4
    FinMind

    FinMind

    Open Data, more than 50 financial data

    In the era of big data, data is the foundation of everything. We collect more than 50 kinds of Taiwan stock related information and provide download, online analysis, and backtesting. Regardless of the program, you can download data through the api provided by FinMind, or you can download data directly from the website. After data is available, statistical analysis, regression analysis, time series analysis, machine learning, and deep learning can be performed. For individual stocks, provide...
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  • 5
    DSGE.jl

    DSGE.jl

    Solve and estimate Dynamic Stochastic General Equilibrium models

    DSGE.jl is a Julia package developed by the Federal Reserve Bank of New York for estimating and analyzing dynamic stochastic general equilibrium (DSGE) models. It provides tools for Bayesian estimation, filtering, forecasting, and model comparison, supporting both academic research and policy applications. DSGE.jl includes pre-configured models used by central banks and offers extensibility for custom macroeconomic modeling.
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  • 6
    Budget

    Budget

    Get a grip on your finances

    Budget is an open-source web application designed to help users manage their personal finances by tracking transactions, organizing expenses, and visualizing spending patterns. It is built as a self-hostable platform, giving users full control over their financial data while still offering the convenience of a modern web interface. The application allows users to input transactions manually or import them from CSV files, making it adaptable to different workflows and banking systems. ...
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  • 7
    Swap

    Swap

    Currency exchange rates library

    ...The library supports both real-time and historical exchange rates, making it suitable for financial applications that require accurate and time-sensitive data. One of its key strengths is its ability to define fallback providers, ensuring reliability even if a primary data source fails. Swap also includes optional caching mechanisms to reduce API calls and improve performance in production environments. It integrates seamlessly with frameworks like Symfony and Laravel, making it easy to incorporate into existing PHP applications.
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  • 8
    Tally

    Tally

    Let agents classify your bank transactions

    Tally is an open-source, AI-assisted tool designed to automate the classification of personal financial transactions, helping users turn raw bank data into meaningful categories without manual tagging. At its core, Tally pairs a local rule engine with large language models so that an AI assistant (like Claude Code, Copilot, or any CLI agent) interprets, suggests, and categorizes expenses, savings, subscriptions, and income events based on your own rules and behavior.
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  • 9
    Lago

    Lago

    Open Source Metering and Usage Based Billing API

    Lago offers a self-hosted and cloud, scalable and modular architecture for metering and usage-based billing, at every stage of your company. Ingest up to 15,000 billing events per second. Lago’s event-based architecture provides a solid foundation for building a fair pricing model that scales with your business. Lago supports all pricing models. Create pay-as-you-go and hybrid plans in no time with our intuitive user interface or API. Create engaging marketing campaigns and increase...
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  • 10
    Portfolio Performance

    Portfolio Performance

    Track and evaluate the performance of your investment portfolio

    Portfolio Performance: Track and evaluate the performance of your investment portfolio across stocks, cryptocurrencies, and other assets. Performance indicators like that True-Time Weighted Rate of Return or the internal rate of return ( Internal rate of return ) are calculated. Historical courses are automatically run by Yahoo Finance loaded or can be extracted from any HTML pages. Due to the open file format, all data is available as XML available or can be used as CSV be exported. Support...
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  • 11
    TradingGoose Studio

    TradingGoose Studio

    Technical analysis + LLM powered trading workflows

    TradingGoose Studio is an open-source AI workflow platform designed to enable advanced financial trading analysis and automation through a visual, modular interface powered by large language models. It combines traditional technical analysis with modern AI-driven decision-making by allowing users to build workflows where multiple specialized agents collaborate to interpret market signals and execute actions.
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  • 12
    Flowsurface

    Flowsurface

    A native desktop charting platform for crypto markets

    Flowsurface is a powerful open-source desktop charting platform tailored for crypto markets, built primarily in Rust with a focus on real-time data visualization and market microstructure analysis. Instead of traditional price charts alone, Flowsurface emphasizes order flow and liquidity visualization through advanced chart types like historical DOM heatmaps, footprint charts, and depth ladder displays.
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  • 13
    stylex-jsx

    stylex-jsx

    Full CSS support for JSX without compromises

    ...Very fast, minimal and efficient transpilation. High-performance runtime-CSS-injection when not server-rendering. Future-proof, equivalent to server-renderable "Shadow CSS". Source maps support. Dynamic styles and themes support. CSS Preprocessing via Plugins. To skip scoping entirely, you can make the global-ness of your styles explicit by adding global. To make a component's visual representation customizable from the outside world there are three options.
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  • 14
    Qlib

    Qlib

    Qlib is an AI-oriented quantitative investment platform

    Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib. With Qlib, users can easily try their ideas to create better Quant investment strategies. At the module level, Qlib is a platform that consists of...
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  • 15
    Dinero.js

    Dinero.js

    Create, calculate, and format money in JavaScript and TypeScript

    Dinero.js is a JavaScript and TypeScript library designed to safely represent, calculate, and format monetary values in applications where precision and correctness are critical. It addresses the limitations of native number handling in JavaScript, which can lead to rounding errors and inaccuracies when working with currency. The library provides an immutable data structure for representing money, ensuring that operations such as addition, subtraction, and conversion do not introduce...
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  • 16
    ValueCell

    ValueCell

    Community-driven, multi-agent platform for financial applications

    ValueCell is a community-driven multi-agent AI platform focused on financial research, analysis, and decision-making that lets users leverage multiple specialized AI agents for tasks like data retrieval, investment research, strategy execution, and market tracking. The system brings together a suite of collaborative agents—such as research agents that gather and interpret fundamentals, strategy agents that implement trading logic, and news agents that deliver personalized updates—to help...
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  • 17
    Optopsy

    Optopsy

    A nimble options backtesting library for Python

    Optopsy is a Python-based, nimble backtesting and statistics library focused on evaluating options trading strategies like calls, puts, straddles, spreads, and more, using pandas-driven analysis. The csv_data() function is a convenience function. Under the hood it uses Panda's read_csv() function to do the import. There are other parameters that can help with loading the csv data, consult the code/future documentation to see how to use them. Optopsy is a small simple library that offloads...
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  • 18
    AutoHedge

    AutoHedge

    Build your autonomous hedge fund in minutes

    AutoHedge is an AI-driven financial automation system designed to simulate and manage hedging strategies using intelligent agents. The project focuses on applying autonomous decision-making to financial risk management, allowing agents to analyze market conditions and adjust positions dynamically. It is built around the concept of algorithmic hedging, where strategies are executed programmatically rather than manually, enabling faster and more consistent responses to market changes. The...
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  • 19
    Brick\Money

    Brick\Money

    A money and currency library for PHP

    Brick\Money is a PHP library designed to provide precise and reliable handling of monetary values using arbitrary-precision arithmetic, ensuring accuracy in financial calculations of any scale. Built on top of the brick/math library, it avoids floating point errors by using exact decimal representations, making it suitable for applications where correctness is critical, such as accounting and financial services. The library supports ISO 4217 currency standards and includes comprehensive...
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  • 20
    WYGIWYH

    WYGIWYH

    A simple but powerful self-hosted finance tracker

    WYGIWYH (What You Get Is What You Have) is a self-hosted, principles-first personal finance tracker built for people who prefer a simple, intuitive approach to tracking money without complicated budgets or categories. Based on a philosophy that you should use what you earn each month for that month, it helps you understand where your funds go while keeping savings clearly separated so they aren’t accidentally dipped into for everyday expenses. The app supports multiple currencies,...
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  • 21
    PyBroker

    PyBroker

    Algorithmic Trading in Python with Machine Learning

    Are you looking to enhance your trading strategies with the power of Python and machine learning? Then you need to check out PyBroker! This Python framework is designed for developing algorithmic trading strategies, with a focus on strategies that use machine learning. With PyBroker, you can easily create and fine-tune trading rules, build powerful models, and gain valuable insights into your strategy’s performance.
    Downloads: 0 This Week
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  • 22
    Kimai

    Kimai

    Kimai is a web-based multi-user time-tracking application

    Kimai is an open-source time-tracking solution. It tracks work time and prints out a summary of your activities on demand. Yearly, monthly, daily, by the customer, by the project. Its simplicity is its strength. Due to Kimai’s browser-based interface, it runs cross-platform, even on your mobile device. With Kimai, the boring process of feeding Excel spreadsheets with your working hours is not only simplified, it also offers dozens of other exciting features that you don't even know you're missing so far! ...
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  • 23
    PyTorch Forecasting

    PyTorch Forecasting

    Time series forecasting with PyTorch

    PyTorch Forecasting aims to ease state-of-the-art time series forecasting with neural networks for both real-world cases and research alike. The goal is to provide a high-level API with maximum flexibility for professionals and reasonable defaults for beginners. A time series dataset class that abstracts handling variable transformations, missing values, randomized subsampling, multiple history lengths, etc. A base model class that provides basic training of time series models along with...
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  • 24
    Google Spreadsheets Python

    Google Spreadsheets Python

    Google Sheets Python API

    gspread is a Python API for Google Sheets. A service account is a special type of Google account intended to represent a non-human user that needs to authenticate and be authorized to access data in Google APIs [sic]. Since it’s a separate account, by default it does not have access to any spreadsheet until you share it with this account. Just like any other Google account. To access spreadsheets via Google Sheets API you need to authenticate and authorize your application. Older versions of...
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  • 25
    Yahoo! Finance market data downloader

    Yahoo! Finance market data downloader

    Yahoo! Finance market data downloader

    Ever since Yahoo! finance decommissioned their historical data API, many programs that relied on it to stop working. yfinance aims to solve this problem by offering a reliable, threaded, and Pythonic way to download historical market data from Yahoo! finance. yfinance aimed to offer a temporary fix to the problem by scraping the data from Yahoo! Finance and returning a the data in the same format as pandas_datareader's get_data_yahoo(), thus keeping the code changes in existing software to a...
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