Search Results for "open personal data"
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Showing 26713 open source projects for "open personal data"
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Personal Management System
Your web application for managing personal data
It's easier to understand this web application when you think about a CMS (WordPress) or CRM (SugarCRM); the logic behind this system is very similar to those two. My PMS may offer fewer possibilities than those systems above, but it just does what I want it to do. Additionally, writing extensions is not too hard, depending on the logic required. Anyone with development knowledge can pretty much write their own extensions for personal needs. Keep a track of your personal goals. You can use... -
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Synthetic Data Generator
SDG is a specialized framework
Synthetic Data Generator is an open-source framework designed to generate high-quality synthetic tabular datasets that replicate the statistical characteristics of real data while avoiding privacy risks. The platform enables developers and data scientists to create artificial datasets that preserve important relationships between variables without containing sensitive personal information. -
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Open CoDesign
Open-source Claude Design alternative
Open CoDesign is an open-source, desktop AI design tool that transforms natural language prompts into fully structured design artifacts such as prototypes, slide decks, and marketing assets. It is designed as a local-first alternative to cloud-based design tools, allowing users to run everything on their own machine while bringing their own AI model and API keys. -
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Open MCT
A web based mission control framework
Open MCT is a next-generation mission operations data visualization framework. Web-based, for desktop and mobile. Software based on Open MCT is in use as a data visualization tool in support of multiple missions at the Jet Propulsion Laboratory, and at NASA's Ames Research Center to support the development of lunar rover mission concepts. -
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Open Wearables
Self-hosted platform to unify wearable health data
Open Wearables is an open-source initiative that aims to provide a community-driven ecosystem for wearable device software and interoperability by connecting sensor data, activity tracking, and health insights across multiple platforms and devices. Instead of relying on closed vendor ecosystems, the project provides standardized data models and APIs that let developers and hobbyists collect, sync, and analyze biometric and environmental data from wearables, DIY sensors, and open hardware projects. ... -
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Open Notebook
An Open Source implementation of Notebook LM with more flexibility
Open Notebook is an open-source, privacy-focused alternative to Google’s Notebook LM that gives users full control over their research and AI workflows. Designed to be self-hosted, it ensures complete data sovereignty by keeping your content local or within your own infrastructure. The platform supports 16+ AI providers—including OpenAI, Anthropic, Ollama, Google, and LM Studio—allowing flexible model choice and cost optimization. -
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Open Interpreter
A natural language interface for computers
Open Interpreter is an open-source tool that provides a natural-language interface for interacting with your computer. It lets large language models (LLMs) run code locally (Python, JavaScript, shell, etc.), enabling you to ask your computer to do tasks like data analysis, file manipulation, browsing, etc. in human terms (“chat with your computer”), with safeguards. -
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Open Design
Local-first, open-source alternative to Anthropic's Claude Design
Open Design is a local-first, open-source AI design platform that enables coding agents to generate complete design systems and visual artifacts from prompts. It functions as an alternative to proprietary AI design tools by allowing users to connect their own models and run everything locally or deploy it as a web application. The system includes a library of design skills and brand-grade design systems that guide the generation process, ensuring consistency and quality. ... -
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Open Science
Open Science is an open-source, local-first, model-agnostic research
Open Science is an open-source, local-first AI research workbench built for scientific discovery on macOS, Windows, and Linux. Researchers can describe a task in plain language and let an agent inspect files, execute Python or R, search the web, and call scientific data connectors. The system is model-agnostic, allowing users to connect supported providers, compatible gateways, or subscription-based backends. -
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.
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Data Formulator
Create rich visualizations with AI
To create rich visualizations, data analysts often need to iterate back and forth among data processing and chart specification to achieve their goals. To achieve this, analysts need not only proficiency in data transformation and visualization tools but also efforts to manage the branching history consisting of many different versions of data and charts. Recent LLM-powered AI systems have greatly improved visualization authoring experiences, for example by mitigating manual data... -
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CasaOS
A simple, easy-to-use, elegant open-source Personal Cloud system
CasaOS by IceWhaleTech is a personal cloud OS designed around Docker. It offers a simple, elegant UI and streamlined installer to manage local storage, apps, media, and smart home services, all self-hosted. -
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Open Policy Agent
An open source, general-purpose policy engine
Policy-based control for cloud-native environments. Flexible, fine-grained control for administrators across the stack. Stop using a different policy language, policy model, and policy API for every product and service you use. Use OPA for a unified toolset and framework for policy across the cloud-native stack. Whether for one service or for all your services, use OPA to decouple policy from the service's code so you can release, analyze, and review policies (which security and compliance... -
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Open Gauss
Project-scoped Lean workflow orchestrator from Math, Inc.
Open Gauss is an enterprise-grade open-source relational database management system designed to handle large-scale data processing with high performance, reliability, and security. It is based on the PostgreSQL ecosystem but significantly extends its capabilities through architectural optimizations, AI-driven features, and enterprise-level enhancements. -
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Personal AI Infrastructure
Agentic AI Infrastructure for magnifying HUMAN capabilities
Personal AI Infrastructure (PAI) is an ambitious open-source project focused on building a deeply personalized agentic AI system that learns from every interaction to magnify human capabilities across tasks and workflows. Unlike once-stateless chatbots, this platform captures context, memory, goals, preferences, and feedback to enable an AI that understands you and improves over time, using a full agentic stack rather than simple question-answer loops. -
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data.table
Extends base R’s data for high-performance data manipulation
data.table is an R package that extends base R’s data.frame for high-performance data manipulation. It offers concise syntax, blazing speed, and memory-efficient operations. It supports fast file reading/writing, joins, grouping, reshaping, and updates by reference. It is heavily used in large data workflows, big data in R, production pipelines, etc. Extremely efficient grouping/aggregation/summarization; can handle very large datasets (hundreds of millions to billions of rows) in memory (if... -
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Azure Data Studio
A data management tool that enables working with other SQL tools
Azure Data Studio is a cross-platform database tool for data professionals who use on-premises and cloud data platforms on Windows, macOS, and Linux. Azure Data Studio offers a modern editor experience with IntelliSense, code snippets, source control integration, and an integrated terminal. It's engineered with the data platform user in mind, with the built-in charting of query result sets and customizable dashboards. Use Azure Data Studio to query, design, and manage your databases and data... -
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a-stock-data
Full-stack China A-Share data toolkit for AI coding assistants
a-stock-data is a self-contained AI agent skill for accessing Chinese A-share market data through direct HTTP data sources. It packages data access logic into a structured skill file so coding assistants can retrieve and analyze stock information without relying on separate third-party wrapper libraries. The project organizes data across multiple layers, including market quotes, research reports, signals, capital flows, news, announcements, macro data, and financial statements. It is... -
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Open Hardware Monitor
Monitor temperature sensors, fan speeds, voltages, load & clock speeds
Open Hardware Monitor is a free and open-source hardware monitoring tool that helps users track the health and performance of their computer. It monitors key system metrics such as CPU temperatures, fan speeds, voltages, clock speeds, and system load. The software supports many hardware monitoring chips commonly found on modern motherboards. It can also read Intel and AMD processor temperature sensors, GPU sensors from ATI and Nvidia cards, and SMART hard drive temperatures. Users can view... -
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Explorer
Series (one-dimensional) and dataframes (two-dimensional)
Explorer brings series (one-dimensional) and data frames (two-dimensional) to Elixir for fast data exploration. -
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Open Source Point of Sale
Open Source Point of Sale is a web based point of sale application
Open Source Point of Sale (OSPOS) is a free and open-source point-of-sale system for small and medium-sized businesses. It helps manage sales, inventory, and customer data through a user-friendly web interface. OSPOS is highly customizable and supports barcode scanning, multi-language support, and detailed reporting, making it ideal for retail stores, restaurants, and small businesses seeking an affordable POS solution. -
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Open X-Embodiment
Unified open dataset enabling cross-embodiment learning for robotics
Open X-Embodiment is a large-scale collaborative initiative led by Google DeepMind to unify robotic learning datasets into a consistent and standardized format, simplifying access and usage across the robotics research community. Its primary goal is to make all available open-source robotic data interoperable by representing them using the RLDS (Reinforcement Learning Dataset Structure) episode format. -
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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... -
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Personal Security Checklist
A compiled checklist of 300+ tips for protecting digital security
Personal Security Checklist is a comprehensive, plain-language checklist for improving personal digital security and privacy across devices, accounts, and everyday workflows. It’s organized so that complete beginners can make quick, high-impact changes, while advanced users can dig into deeper hardening steps. The guidance spans topics like passwords, 2FA, device encryption, browser hygiene, network safety, backups, and incident response planning. Each section breaks recommendations into... -
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Form-Data
A module to create readable `"multipart/form-data"` streams
A library to create readable "multipart/form-data" streams. Can be used to submit forms and file uploads to other web applications. -
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Data-Juicer
Data processing for and with foundation models
Data-Juicer is an open-source data processing and augmentation framework designed to enhance the quality and diversity of datasets for machine learning tasks. It includes a modular pipeline for scalable data transformation.