Open Source Financial Software - Page 3
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Financial Software
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The full-stack observability platform that protects your dataLayer, tags and conversion dataCode-Cube.io detects issues instantly, alerts you in real time and helps you resolve them fast. No manual QA. No unreliable data. Just data you can trust and act on.
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Award-Winning Medical Office Software Designed for Your SpecialtyRXNT is an ambulatory healthcare technology pioneer that empowers medical practices and healthcare organizations to succeed and scale through innovative, data-backed, AI-powered software.
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Kalshi Trading Bot CLI
AI-native CLI for trading Kalshi prediction markets
Kalshi Trading Bot CLI is an AI-driven command-line tool designed to automate trading strategies on Kalshi prediction markets by combining quantitative modeling with real-time market data. It operates by conducting deep research on events, generating independent probability estimates, and comparing those estimates against current market prices to identify trading opportunities. The system incorporates advanced decision-making logic, including Kelly criterion-based position sizing and a structured multi-step risk evaluation process before executing trades. Built as a CLI application, it allows traders to interact programmatically with markets, making it suitable for automation and integration into larger trading pipelines. The tool emphasizes disciplined trading through its risk engine, ensuring that decisions are filtered through multiple validation layers before capital is committed. -
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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 market behavior similarly to language. This allows Kronos to perform a variety of quantitative tasks such as forecasting, pattern recognition, and anomaly detection within financial datasets. It is optimized for the noisy and complex nature of market data, distinguishing it from general-purpose time-series models. The project includes multiple pre-trained model sizes and tools for fine-tuning, making it adaptable to different computational constraints and use cases. -
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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 conversion with coupons that customers can redeem to get a discount. Lago allows you to create one-time charges that are invoiced on the fly. Depending on the configuration of your plans, Lago automatically calculates what each customer owes you and generates invoices. Unlock recurring revenue opportunities for pay-as-you-go pricing models with Lago’s real-time prepaid credit features. -
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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 logging in tensorboard and generic visualizations such actual vs predictions and dependency plots. Multiple neural network architectures for timeseries forecasting that have been enhanced for real-world deployment and come with in-built interpretation capabilities. The package is built on PyTorch Lightning to allow training on CPUs, single and multiple GPUs out-of-the-box. -
Iris Powered By Generali - Iris puts your customer in control of their identity.Iris Identity Protection API sends identity monitoring and alerts data into your existing digital environment – an ideal solution for businesses that are looking to offer their customers identity protection services without having to build a new product or app from scratch.
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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, customizable transaction types, and built-in tools like dollar-cost averaging tracking to help you see investment activity alongside regular expenses, making it flexible for real world financial situations and global use. Its interface is designed to prioritize clarity and ease of entry, so you can quickly record and review spending without being overwhelmed by features you don’t need. -
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JExcelApi is a java library which provides the ability to read, write, and modify Microsoft Excel spreadsheets. This project mirrors the files on http://www.jexcelapi.org, which has been known to go down on occasion.
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Barcode4J is a flexible generator for barcodes written in Java and available under the Apache License v2.0. Features: Extensions for Apache FOP, Xalan-J and SAXON, Servlet, command-line interface, output to SVG, EPS, Java2D/AWT and bitmaps.
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Money Manager Ex
Is an easy to use, money management application.
Money Manager Ex (mmex) is an easy to use, money management application. It is a personal finance manager. It can be used to track your net worth, income vs expenses etc. It runs on Windows, Linux and Mac OSX. -
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Free Weighbridge Software
Imagic Solution Easy to Use Windows Based Weighbridge Software
Imagic Solution Provide Easy to Use Windows Based Weighbridge Software, its Support Win10/Win11/Win7, 32 and 64 Bit both OS. Facility to Create Multi User with Various Authorisation, it will Provide Secure Weighment with Various Facility Like CCTV Image Capture, RFID Reader Integration, Boom Barrier Integration, Traffic Light, PA Sound System, LED display etc... This Software Provide a secure and Fraud-Free-Operation of All Kind Of Weighbridge, its Design to Suitable for all Kind of Industries. It will use Configurable various Database as per requirement. Software Suitable for In Bellow Sector: Industries Weighbridge [LAN Based Software for Multi Weighbridge], Public Weighbridge, Cloud Based Online Weighbridge Reporting system, Label Printing Scale Software, Batching Scale Software, Barcode + QR Code printing, CCTV Weighbridge Software, Support Multi Language Selection Option, -
Collect! is a highly configurable debt collection softwareThe flexible & scalable debt collection software built to automate your workflow. From startup to enterprise, we have the solution for you.
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Cashew
An app created to help users manage a budget and purchases
Cashew is a minimalist personal finance and budgeting app built with Flutter, designed to help individuals track expenses and income easily. It emphasizes simplicity and clarity, offering straightforward interfaces for adding transactions, categorizing them, and monitoring balances. Users can visualize their financial activity with charts and summaries, giving them insight into spending patterns. Because it is open source, developers can modify or extend it with features like recurring transactions, custom categories, or integrations. Cashew is cross-platform, so the same codebase runs smoothly on Android and iOS. Its design is focused on giving control to users without unnecessary complexity, making it suitable as a learning project as well as a practical budgeting tool. -
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FinGPT
Open-Source Financial Large Language Models
FinGPT is an open-source, finance-specialized large language model framework that blends the capabilities of general LLMs with real-time financial data feeds, domain-specific knowledge bases, and task-oriented agents to support market analysis, research automation, and decision support. 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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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! The layout is fully responsive, made for desktop and mobile usage. Every user can configure the data columns that should be shown, e.g. to prevent horizontal scrolling on small devices. Kimai was built to be extendable, and features can be added with plugins. Developers wanting to create them can use many extension points. -
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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 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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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 above components. The components are designed as loose-coupled modules and each component could be used stand-alone. -
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Reactive Trader
Real-time FX trading showcase by Adaptive
Reactive Trader® is a real-time FX trading platform designed to showcase reactive programming principles across the full application stack. Written in React and RxJs / React-RxJs and running on Hydra, the platform will continue to evolve and use the latest technologies. -
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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 minimum. The latest version of yfinance is a complete re-write of the libray, offering a reliable method of downloading historical market data from Yahoo! Finance, up to 1 minute granularity, with a more Pythonic way. The Ticker() module allows you get market and metadata for security, using a Pythonic way. -
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stylex-jsx
Full CSS support for JSX without compromises
Full, scoped and component-friendly CSS support for JSX (rendered on the server or the client). Code and docs are for v3 which we highly recommend you to try. Looking for styled-jsx v2? Switch to the v2 branch. Blazing fast and optimized CSS rules injection system based on the CSSOM APIs. Full CSS support, no tradeoffs in power. Runtime size of just 3kb (gzipped, from 12kb). Complete isolation: Selectors, animations, keyframes. Built-in CSS vendor prefixing. 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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Prowide Core
Java framework for SWIFT [tm] MT (FIN) messaging
Prowide Core (previously known as WIFE) is an open source Java framework for managing SWIFT MT messages. The library key features are the comprehensive Java model for all MT message types, along a straight-forward parsing and building API. The project is active since 2006, production ready and commercially supported. For detail information on the support package options please check: https://www.prowidesoftware.com/services SWIFT is a trademark of S.W.I.F.T. SCRL. (www.swift.com) Prowide in GitHub: https://github.com/prowide -
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AnyTrading
The most simple, flexible, and comprehensive OpenAI Gym trading
gym-anytrading is an OpenAI Gym-compatible environment designed for developing and testing reinforcement learning algorithms on trading strategies. It simulates trading environments for financial markets, including stocks and forex. -
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Dexter
An autonomous agent for deep financial research
Dexter is an autonomous agent tailored for deep financial research: you pose complex financial questions (for example, about a company’s revenue growth or financial ratios) and Dexter breaks them down into structured research tasks, fetches relevant real-time data (e.g. income statements, cash flows), performs analysis, and returns data-backed answers. It uses a multi-agent architecture with components such as a planning agent (to decompose queries), an action agent (to run tasks & fetch data), and self-validation mechanisms: after getting results, Dexter checks its own outputs and refines them until it is confident about its answer. This means it's more than a simple script — it’s a research assistant that loops through analysis steps until convergence. -
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Distributed Transactions Manager
A distributed transaction framework that supports multiple languages
Support HTTP and GRPC, provide easy-to-use interfaces, lower substantially the barrier of getting started with distributed transactions, and newcomers can adapt quickly. Developers no longer worry about suspension, null compensation, idempotent transaction, and other tricky problems, the framework layer handles them all. Suitable for companies with the multi-language stack. Easy for go, python, php, nodejs, ruby and so forth. The only external dependence is the database server, easy to deploy, cluster, and scale horizontally. Supports TCC, SAGA, XA, and transaction messages. DTM is a distributed transaction framework that provides cross-service eventual data consistency. It provides saga, tcc, xa, 2-phase message, and outbox patterns for a variety of application scenarios. It also supports multiple languages and multiple store engines to form up a transaction. -
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Meteroid
Open-source pricing and billing infrastructure
Meteroid is an open-source, cloud-native pricing and billing infrastructure designed to support usage-based billing, subscription management, invoicing, and cost-tracking — particularly for SaaS or product-led businesses that need flexible billing models beyond flat subscriptions. It provides an API-driven billing engine: you feed Meteroid usage data from your application (e.g. API calls, storage usage, seats, feature usage), define custom pricing rules or plans, and Meteroid calculates charges, generates invoices, tracks usage, and supports cost limits or quotas. The system is written in Rust, emphasizing performance, reliability, and safety, making it suitable for production use in small startups up to large enterprises. Meteroid handles complexities like plan versioning, usage-based billing, re-invoicing, grandfathering of plans, experiments, and cost limiting — giving teams a robust billing backend without building one from scratch. -
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OpenSourceBilling
A super simple way to create & send invoices, receive payments online
OpenSourceBilling or OSB is a simple, open source web application for creating and sending invoices, receiving payments, managing clients, and tracking and reporting. There’s no need to pay for these services because OSB does it all for free and easily. OSB can produce reports of sales, payments and collected revenues, and simply makes billing and invoicing hassle-free. OSB comes with plenty of built-in features, such as recurring invoices, exporting to PDF, time tracking, receiving payments through Paypal and credit card, Freshbooks and Quickbooks data importing and more. It also supports several different languages as well as currencies. -
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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 allocations. For example, you might want to use a 60/40 portfolio with SPY (S&P500 fund) and TLT (20-year treasury fund). This strategy reduces risk, but may also limit gains from big market swings. By reducing risk, one can increase leverage. ThetaGang will try to acquire your desired allocation of each stock or ETF according to the weights you specify in the config. To acquire the positions, the script will write puts when conditions are met. -
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alpha_vantage
A python wrapper for Alpha Vantage API for financial data.
Alpha Vantage delivers a free API for real time financial data and most used finance indicators in a simple json or pandas format. This module implements a python interface to the free API provided by Alpha Vantage. You can have a look at all the API calls available in their API documentation. For code-less access to the APIs, you may also consider the official Google Sheet Add-on or the Microsoft Excel Add-on by Alpha Vantage. To get data from the API, simply import the library and call the object with your API key. Next, get ready for some awesome, free, realtime finance data. Your API key may also be stored in the environment variable ALPHAVANTAGE_API_KEY. The library supports giving its results as json dictionaries (default), pandas dataframe (if installed) or csv, simply pass the parameter output_format='pandas' to change the format of the output for all the API calls in the given class.
