Search Results for "website using python"
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Showing 57 open source projects for "website using python"
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Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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Google Spreadsheets Python
Google Sheets Python API
...To access spreadsheets via Google Sheets API you need to authenticate and authorize your application. Older versions of gspread have used oauth2client. Google has deprecated it in favor of google-auth. If you’re still using oauth2client credentials, the library will convert these to google-auth for you, but you can change your code to use the new credentials to make sure nothing breaks in the future. If you familiar with the Jupyter Notebook, Google Colaboratory is probably the easiest way to get started using gspread. -
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NautilusTrader
A high-performance algorithmic trading platform
NautilusTrader is an open-source, high-performance, production-grade algorithmic trading platform, provides quantitative traders with the ability to backtest portfolios of automated trading strategies on historical data with an event-driven engine, and also deploy those same strategies live, with no code changes. The platform is 'AI-first', designed to develop and deploy algorithmic trading strategies within a highly performant and robust Python native environment. This helps to address the... -
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MoneyPrinter V2
Automate the process of making money online
MoneyPrinter V2 is an open-source automation platform designed to streamline and scale online income generation workflows by combining content creation, social media automation, and marketing strategies into a single system. It is a complete rewrite of the original MoneyPrinter project, focusing on modularity, extensibility, and broader functionality across multiple monetization channels. The platform operates primarily through Python-based scripts that automate tasks such as generating and... -
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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. ... -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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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. -
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Quadratic
Data science spreadsheet with Python & SQL
...Quadratic is a Web-based spreadsheet application that runs in the browser and as a native app (via Electron). 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. ... -
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Intelligent stock analysis system
LLM-driven A/H/US stock intelligent analyzer
...The system supports scheduled execution using GitHub Actions, enabling fully automated daily analysis and multi-channel notifications via platforms like Telegram, Enterprise WeChat, Feishu, email, and push services. Under the hood, it integrates multiple AI models (like Gemini and OpenAI-compatible models) and diverse market data sources (including AkShare, Tushare, and YFinance) to synthesize comprehensive reports. -
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Kronos
A Foundation Model for the Language of Financial Markets
Kronos is a specialized open-source foundation model designed for analyzing and predicting financial market data using time-series representations of candlestick patterns. It is built as a decoder-only Transformer model trained specifically on K-line data, which captures open, high, low, close, and volume information across multiple global exchanges. The system introduces a novel tokenization approach that converts continuous financial data into discrete tokens, enabling the model to process... -
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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. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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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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Finance Database
This is a database of 300.000+ symbols containing Equities, ETFs, etc.
As a private investor, the sheer amount of information that can be found on the internet is rather daunting. Trying to understand what type of companies or ETFs are available is incredibly challenging with there being millions of companies and derivatives available on the market. Sure, the most traded companies and ETFs can quickly be found simply because they are known to the public (for example, Microsoft, Tesla, S&P500 ETF or an All-World ETF). However, what else is out there is often... -
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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... -
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ThetaGang
ThetaGang is an IBKR bot for collecting money
ThetaGang is an IBKR trading bot for collecting premiums by selling options using "The Wheel" strategy. The Wheel is a strategy that surfaced on Reddit but has been used by many in the past. This bot implements a slightly modified version of The Wheel, with my own personal tweaks. The strategy, as implemented here, does a few things differently from the one described in the post above. For one, it's intended to be used to augment a typical index-fund-based portfolio with specific asset... -
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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... -
15
PMXT
A unified API for trading across prediction markets
PMXT is a unified API platform designed for accessing and trading across multiple prediction market exchanges through a single consistent interface. 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... -
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FrontAccounting (FA) is a professional web-based Accounting system for the entire ERP chain written in PHP, using MySQL. FA is multilingual and multicurrency. For further information and more downloads, visit our website, http://frontaccounting.com.
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KherveSheet
Excel for scientists: high-quality plots, Python in cells, AI side bar
KherveSheet is a desktop spreadsheet application for scientists, built in Python and running on Windows. Plotting Charts are generated using matplotlib and embedded directly in the sheet as movable, resizable objects. You have full control over axes, scales, ticks, titles and grids. Curve fitting and peak fitting are supported, with goodness-of-fit reporting overlaid on the plot. Every cell can also run a full Python program, not just a formula. -
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TradingDeskPro
Multi-market charts and paper trading for desktop!
Trading Desk Pro is a desktop application for viewing market charts and practicing advanced trades with virtual funds. It supports cryptocurrencies. The app includes candlestick charts, technical indicators, simulated srders, AI-assisted chart analysis and a trade journal. Also, users can review their simulated trades and account performance, with records stored locally. The interface supports multiple languages! Lastly, if you want to delete this app, please download... -
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QChartist
Free and Open Source Technical Analysis Charting Software
QChartist is a free and open source technical analysis charting software. Its purpose is to provide a complete set of tools to perform technical analysis on charts and data. It helps to make forecasts mainly for markets but can also be used for weather or any quantifiable data. The program is flexible and its functionalities can be easily extended. You can draw geometrical shapes on your charts or plot programmable indicators from your data. It is also possible to filter or merge data. I got... -
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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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NeuralProphet
A simple forecasting package
NeuralProphet bridges the gap between traditional time-series models and deep learning methods. It's based on PyTorch and can be installed using pip. A Neural Network based Time-Series model, inspired by Facebook Prophet and AR-Net, built on PyTorch. You can find the datasets used in the tutorials, including data preprocessing examples, in our neuralprophet-data repository. The documentation page may not we entirely up to date. Docstrings should be reliable, please refer to those when in... -
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AutoTrader
A Python-based development platform for automated trading systems
AutoTrader is a Python-based platform—now archived—designed to facilitate the full lifecycle of automated trading systems. It provides tools for backtesting, strategy optimization, visualization, and live trading integration. A feature-rich trading simulator, supporting backtesting and paper trading. The 'virtual broker' allows you to test your strategies in a risk-free, simulated environment before going live. Capable of simulating multiple order types, stop-losse,s and take-profits,... -
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CostPal
CostPal is your personal finance manager
...With it's smooth intuitive interface (and by using it every day) you can spend minimum time required for tracking your personal expenses (less than 5 minutes a day!). It's purpose is to act as a scratchpad, not a standalone application for managing personal finance - for that you have CostPal. Currently only Dropbox is supported as a cloud storage used for data exchange. -
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OpenOffice.org Utility Library
Library modules for creating ODF documents.
...The newest code will only be available using Git on GitHub. -
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FormaVid
Small Business Appliance
The FormaVid Small Business Appliance https://formavid.org is designed to integrate a content management system (CMS), an issues tracker and an invoicing application into a single, well constructed, offering. It is an excellent starting point for any developer(s) wishing to support the CMS or any of the other components, including the appliance itself. All components are stable, open source and well supported. The appliance is built using scripts so no hidden "monkey business" and you can...
