Search Results for "users"
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Showing 141 open source projects for "users"
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OpenBB Terminal
Investment research for everyone, anywhere
Fully written in python which is one of the most used programming languages due to its simplified syntax and shallow learning curve. It is the first time in history that users, regardless of their background, can so easily add features to an investment research platform. The MIT Open Source license allows any user to fork the project to either add features to the broader community or create their own customized terminal version. The terminal allows for users to import their own proprietary datasets to use on our econometric menu. ... -
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Tally
Let agents classify your bank transactions
...It generates human-readable reports and can produce HTML, JSON, or Markdown outputs to suit dashboards or personal finance workflows. The project emphasizes transparency, allowing users to see why a particular transaction was classified a certain way and to refine rules over time. While it’s tailored toward developers and advanced users, it also includes an interactive command-line experience for initializing budgets, generating charts, and diving deep into spending patterns. -
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Liberapay
Source code of the recurrent donations platform Liberapay
...It supports multiple currencies and integrates with payment processors such as Stripe and PayPal, enabling global participation. The system also includes features like team-based funding, pledges for users not yet registered, and public transparency of donation flows. -
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MoneyPrinter V2
Automate the process of making money online
...The platform operates primarily through Python-based scripts that automate tasks such as generating and publishing YouTube Shorts, posting on social media platforms like Twitter, and executing affiliate marketing campaigns. It integrates scheduling mechanisms that allow users to run automated workflows at defined intervals, enabling continuous content production and distribution without manual intervention. -
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Smart Money Concepts
Discover our Python package designed for algorithmic trading
...These indicators are inspired by ICT trading principles and are used to identify trends, reversals, and potential entry or exit points in financial markets. The system is modular, allowing users to combine different indicators and integrate them into backtesting frameworks or live trading bots. It is particularly useful for traders working in forex, crypto, or equities who rely on price action rather than traditional indicators. -
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QuantDinger
AI-driven, local-first quantitative trading platform for research
QuantDinger is a local-first, open-source quantitative trading platform designed to bring AI-assisted analysis, strategy development, backtesting, and live execution into a self-hosted workspace where data and API credentials remain under your control. Unlike cloud-locked quant services, it lets users run the entire trading workflow on their own infrastructure using Docker, with a PostgreSQL database backend, a Python backend API, and a web frontend UI that supports visualization and strategy management. Traders and researchers can develop custom strategies in Python, run historical backtests, analyze performance, and connect to supported exchanges for live trading, making it suitable for equities, crypto, forex, and futures markets in a local environment. ... -
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Prophet
Tool for producing high quality forecasts for time series data
Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well. Prophet is used in many applications across Facebook for producing reliable forecasts for planning and goal... -
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Aurelio
Open-source personal finance app with an AI financial advisor
Users can analyze income, expenses, savings rates, and long-term financial goals. An optional AI financial advisor answers questions using personal financial data and proposes changes for user approval. Aurelio also offers portfolio analysis through multiple AI perspectives to support better-informed financial decisions. -
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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 users make more informed financial decisions across stocks, crypto, and other markets. ... -
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FinGPT
Open-Source Financial Large Language Models
...It extends traditional GPT-style models by connecting them to live or historical financial datasets, news APIs, and economic indicators so that outputs are grounded in relevant and recent market conditions rather than generic knowledge alone. The platform typically includes tools for fine-tuning, context engineering, and prompt templating, enabling users to build specialized assistants for tasks like sentiment analysis, earnings summary generation, risk profiling, trading signal interpretation, and document extraction from financial reports. -
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FinRobot
An Open-Source AI Agent Platform for Financial Analysis using LLMs
...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. Built with modularity in mind, FinRobot allows users to plug in custom models — from classical algorithms to deep learning architectures — and orchestrate components in pipelines that can run reproducibly across experiments. The framework also tends to include automation layers for deployment, enabling trained models to operate in live or simulated environments with scheduled re-training and risk controls in place. -
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Qlib
Qlib is an AI-oriented quantitative investment platform
...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 above components. The components are designed as loose-coupled modules and each component could be used stand-alone. -
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AIQuant
AI-powered platform for quantitative trading
ai_quant_trade is an AI-powered, one-stop open-source platform for quantitative trading—ranging from learning and simulation to actual trading. It consolidates stock trading knowledge, strategy examples, factor discovery, traditional rules-based strategies, various machine learning and deep learning methods, reinforcement learning, graph neural networks, high-frequency trading, C++ deployment, and Jupyter Notebook examples for practical hands-on use. Stock trading strategies: large models,... -
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Price-Tracking-Web-Scraper
An automated price tracker that uses bright data
Price Tracking Web Scraper is a full-stack example application for monitoring product prices automatically. Its React frontend gives users an interface for interacting with tracked items and collected pricing data. A Flask backend handles the application API and coordinates scraping operations. Playwright drives browser automation, while Bright Data’s Scraping Browser provides the remote browsing layer. The included implementation currently targets Amazon Canada but can be adapted to additional websites. ... -
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AsaanLedger
Offline double-entry accounting software designed for Accountants
AsaanLedger is a 100% offline double-entry accounting software built for accountants managing books in Excel or manual registers. It provides a structured system that ensures accurate, balanced, and professional financial reporting without cloud complexity. Features include company setup with financial year management, chart of accounts with opening balances, general journal entries, automatic ledger posting, ledger reports, trial balance, profit & loss statement, balance sheet, and... -
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Tartan Systems
Free Open Source Accounting and Club Systems
Tartan Systems is a free open source suite of financial, accounting and other programs for businesses and clubs written in python. The modules comprise the following: Asset's Register Book Clubs (Member and Book Register) Booking's Manager (Resorts and B&B's) Bowls Clubs (Lawn Bowls Tabs Draws and Competitions) Bowls Sectional Competitions (Lawn Bowls) Creditor's Ledger (Accounts Payable) Debtor's Ledger (Accounts Receivable) General Ledger... -
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rotki
A portfolio tracking, analytics, accounting and tax reporting app
A portfolio tracking, analytics, accounting and tax reporting application that respects your privacy -
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TradingDeskPro
Multi-market charts and paper trading for desktop!
TradingDeskPro is a Windows app for market charts, paper trading with virtual funds, and trade review. It offers candlestick charts, technical indicators, simulated orders, AI-assisted analysis, a local trade journal, backtesting, and market replay. Use 2 charts on Free, 4 on PLUS, or 5 on MAX. Features include pre-trade checklists, Ghost Mode, anti-tilt warnings, strategy drafts, daily debriefs, Telegram/Discord alerts, and 50 languages with automatic Windows language detection. Manual... -
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Repoint POS from South Africa is built for the speed of modern retail. We’ve eliminated technical friction to create a high-performance system that your team can master in minutes. It’s powerful commerce, simplified.
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Money Math
Smart financial calculator for savings, discounts and payments
Looking for a simple yet powerful financial tool? Our calculator app helps you easily manage your money with four key features. You can calculate how much your savings will grow with interest — just enter your deposit, rate, and period. It’s perfect for planning your investments. The app also helps you understand discounts — input the original price and discount percentage, and see the final price instantly. Managing regular payments is simple: just enter the amount, frequency, and duration... -
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SnacTrac
The cash-based snack bar manager!
SnacTrac is a tool designed to simplify managing a cash-based snack bar. After creating an account with admin approval, customers can use SnacTrac as a self-service purchasing kiosk. The system automatically tracks customer tabs and inventory, maintains purchase history, and provides an admin control panel with configurable user debt limits and more! -
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A quantitative finance C++ library for modeling, pricing, trading, and risk management in real-life. A cross-platform free/open-source tool for derivatives and financial engineering.
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Settlement.py
Terminal work-time settlement sheet (4-4-5 calendar).
Settlement Terminal work-time settlement sheet (4-4-5 calendar). Requirements Linux, Python 3.8+, terminal 80×40+ Usage python3 Settlement.py [data_file.json] Features Mouse + keyboard navigation EN/PL language toggle (L) 6 color themes (T) Auto-save to JSON Weeks with data highlighted orange -
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(py) Faktury VAT
Program do tworzenia faktur VAT
Program do tworzenia faktur VAT. Działa w systemie Linux i Windows, program został napisany w pythonie, korzysta z biblioteki GTK+ -
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ManagerSheet
A one-page investment portfolio report
ManagerSheet is a one-page investment portfolio report, that analyses and presents an investment portfolio with respect to: - Performance - Investment style - Risk More information on the report concept and instructions on how to create one's own portfolio reports can be found at the ManagerSheet Web Site under the "Documentation" section. Please note that the project is in alpha stage.
