Search Results for "code"
Sort By:
Showing 170 open source projects for "code"
View related business solutions-
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
-
1
PhpSpreadsheet
A pure PHP library for reading and writing spreadsheet files
PhpSpreadsheet is a library written in pure PHP and offers a set of classes that allow you to read and write various spreadsheet file formats such as Excel and LibreOffice Calc. PhpSpreadsheet is a library written in pure PHP and offers a set of classes that allow you to read and write various spreadsheet file formats such as Excel and LibreOffice Calc. Support for PHP versions will only be maintained for a period of six months beyond the end of life of that PHP version. Use composer to... -
2
AI Hedge Fund
An AI Hedge Fund Team
This repository demonstrates how to build a simplified, automated hedge fund strategy powered by AI/ML. It integrates financial data collection, preprocessing, feature engineering, and predictive modeling to simulate decision-making in trading. The code shows workflows for pulling stock or market data, applying machine learning algorithms to forecast trends, and generating buy/sell/hold signals based on the predictions. Its structure is educational: intended more as a proof-of-concept than a ready-to-use financial product, giving learners insight into the mechanics of quantitative finance automation. ... -
3
...All content is encrypted client-side, ensuring that only authorized users can access the information. CryptPad supports various applications, including rich text documents, spreadsheets, presentations, code editing, kanban boards, polls, and whiteboards, facilitating real-time collaboration among teams. Users can access CryptPad without creating an account, and the platform also offers self-hosting options for organizations seeking full control over their data.
-
4
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. 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. ... -
Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
-
5
Quadratic
Data science spreadsheet with Python & SQL
...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. No more squinting into a tiny terminal to see your data output. -
6
VisiData
A terminal spreadsheet multitool for discovering and arranging data
...VisiData supports tsv, CSV, SQLite, JSON, xlsx (Excel), hdf5, and many other formats. Requires Linux, OS/X, or Windows (with WSL). Hundreds of other commands and options are also available; see the documentation. Code in the stable branch of this repository, including the main vd application, loaders, and plugins, is available for use and redistribution under GPLv3. VisiData is a free, open-source tool that lets you quickly open, explore, summarize, and analyze datasets in your computer’s terminal. VisiData works with CSV files, Excel spreadsheets, SQL databases, and many other data sources. -
7
ML for Trading
Code for machine learning for algorithmic trading, 2nd edition
On over 800 pages, this revised and expanded 2nd edition demonstrates how ML can add value to algorithmic trading through a broad range of applications. Organized in four parts and 24 chapters, it covers the end-to-end workflow from data sourcing and model development to strategy backtesting and evaluation. Covers key aspects of data sourcing, financial feature engineering, and portfolio management. The design and evaluation of long-short strategies based on a broad range of ML algorithms,... -
8
Yahoo! Finance market data downloader
Yahoo! Finance market data downloader
...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. -
9
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 parity challenge of keeping the Python research/backtest environment, consistent with the production live trading environment. NautilusTraders design, architecture and implementation philosophy holds software correctness and safety at the highest level, with the aim of supporting Python native, mission-critical, trading system backtesting and live deployment workloads. -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
-
10
QuantDinger
AI-driven, local-first quantitative trading platform for research
...QuantDinger also incorporates optional AI features via external APIs, assisting in tasks like strategy ideation or interpreting market indicators, but strategy logic remains inspectable and transparent in code. -
11
AIQuant
AI-powered platform for quantitative trading
...Stock trading strategies: large models, factor mining, traditional strategies, machine learning, deep learning, reinforcement learning, graph networks, high-frequency trading, etc. Resource summary: network-wide resource summary, practical cases, paper interpretation, and code implementation. -
12
Optopsy
A nimble options backtesting library for Python
...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 the heavy work of backtesting option strategies, the API is designed to be simple and easy to implement into your regular Panda's data analysis workflow. As such, we just need to call the long_calls() function to have Optopsy generate all combinations of a simple long call strategy for the specified time period and return a DataFrame. ... -
13
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. The platform is particularly focused on funding open-source software, free knowledge, and creative work, helping contributors maintain... -
14
Google Spreadsheets Python
Google Sheets Python API
...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. -
15
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. -
16
Optional Fund Assistant
Quickly obtain real-time data of the funds of interest
...The extended form is very suitable for office workers, without opening the website, it is only displayed in the form of a small window, which will not attract the attention of the boss, which is convenient for working and fishing. First, enter the fund code to add a fund, and the price information and income information can be displayed in the browser in the form of corner labels, which is more convenient and intuitive. -
17
alpha_vantage
A python wrapper for Alpha Vantage API for financial data.
...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. ... -
18
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... -
19
esniper was a lightweight console application for sniping eBay auctions. *It does not work anymore.* The development stopped in 2020 because ebay has changed the login mechanism in a way we could not handle in the existing code.
-
20
Invoiso
Free Invoice & Billing Software for Windows, Linux & Mac
Free offline invoice software for Windows, Linux and Mac. Create professional PDF invoices, manage clients and products - no internet, no subscription, no account needed. Invoiso is a free, open-source desktop invoicing app for small businesses, shops, and freelancers on Windows and Linux. All data stays on your device — no internet required, ever. Default Login: Username: admin Password: admin You will be prompted to change the password on first login. -
21
webERP Accounting & Business Management
Accounting & Best Practice Business Administration System
...Mature codebase with a wealth of features: - Multi-currency - Multi-inventory location - Serial and Lot tracking inventory - Full double entry general ledger - Weighted Average or Standard Costing - Manufacturing works orders - Material Requirements Planning - Shipment costing - Contract/job costing - Fixed asset management - Sales Analysis - Expense claims - Can be integrated with an number of 3rd party wikis Particularly suited to wholesale, distribution, manufacturing and now also as the hub for multi-branch retail businesses (with an external deskop POS add-on). Translations into over 20 Languages. Easily modifiable code, written using simple and accessible PHP for ease of maintenance and understanding. Reporting direct to UTF-8 PDF -
22
QuickFIX is the worlds first Open Source C++ FIX (Financial Information eXchange) engine, helping financial institutions easily integrate with each other. The SVN repository is now locked. Latest code is hosted at github. https://github.com/quickfix/quickfix
-
23
OpenClinic GA
Open Source Integrated Hospital Information Management System
OpenClinic GA is an open source integrated hospital information management system covering management of administrative, financial, clinical, lab, x-ray, pharmacy, meals distribution and other data. Extensive statistical and reporting capabilities. OpenClinic GA and OpenClinic GMAO are owned by Frank Verbeke, MD, PhD at Post-Factum BV (https://www.post-factum.be) -
24
Rapid ERP Development
Great Open Source Plugins For iDempiere ERP Project
I created a set of simple plugins to use iDempiere ERP with Unicenta POS, Android Scanner, Budgeting, Warehousing, Manufacturing, on-the-fly generators for App Dictionary, CRM Board and Charts, Kanban Board, Translation and more. Always complete with full technical documentation, blogs and movie tutorials. No information hiding. Its the open source sharing passion and i wanted to give it all back. Much of my present work is sponsored by SYSNOVA, the largest iDempiere conglomerate user and... -
25
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...
