Search Results for "data access layer" - Page 5
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Showing 358 open source projects for "data access layer"
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leafmap
A Python package for interactive mapping and geospatial analysis
...It is a spin-off project of the geemap Python package, which was designed specifically to work with Google Earth Engine (GEE). However, not everyone in the geospatial community has access to the GEE cloud computing platform. Leafmap is designed to fill this gap for non-GEE users. It is a free and open-source Python package that enables users to analyze and visualize geospatial data with minimal coding in a Jupyter environment, such as Google Colab, Jupyter Notebook, and JupyterLab. Leafmap is built upon several open-source packages, such as folium and ipyleaflet (for creating interactive maps), WhiteboxTools and whiteboxgui (for analyzing geospatial data), and ipywidgets (for designing interactive graphical user interface [GUI]). -
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EverMemOS
Long-term memory OS for AI with structured recall and context awarenes
EverMemOS is an open-source memory operating system built to give AI agents long-term, structured memory. It captures conversations, transforms them into organized memory units, and enables agents to recall past interactions with context and meaning. Instead of treating each prompt independently, it builds evolving user profiles, tracks preferences, and connects related events into coherent narratives. Its architecture combines memory storage, indexing, and retrieval with agent-level... -
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Instaloader
Download pictures (or videos) along with their captions
Instaloader is a mature open-source utility for downloading and archiving Instagram content along with rich metadata. It enables users to retrieve posts, stories, reels, highlights, profile pictures, and associated information such as captions, comments, timestamps, and geotags. The tool supports both public and permitted private content when proper authentication is provided, making it useful for research, digital archiving, and social media analysis. Instaloader can be run as a simple... -
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Cinemagoer
Python package useful to retrieve and manage the data of IMDb
Cinemagoer (previously known as IMDbPY) is a Python package for retrieving and managing the data of the IMDb movie database about movies and people. You can use the search_movie method of the access object to search for movies with a given (or similar) title. Similarly, you can search for people and companies using the search_person and the search_company methods. Movie, person, and company objects have id attributes which -when fetched through the IMDb web server- store the IMDb id of the object. ... -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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MasterHttpRelayVPN
Domain-fronted HTTP/SOCKS5 proxy tunneling traffic through Google Apps
MasterHttpRelayVPN is a networking tool designed to route traffic through HTTP-based relay systems, enabling VPN-like functionality over standard web protocols. It focuses on bypassing network restrictions by tunneling data through HTTP requests, making it effective in constrained or filtered environments. The system supports secure communication and can be configured to relay traffic across multiple endpoints. It is particularly useful for users who need to access restricted networks or maintain connectivity in limited conditions. The project emphasizes flexibility and adaptability in different network scenarios. ... -
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KIS Open API
Korea Investment & Securities Open API Github
The open-trading-api repository from Korea Investment & Securities provides sample code and developer resources for interacting with the KIS Developers Open Trading API, which enables programmatic access to financial market data and automated trading functionality. The project is designed primarily for Python developers and AI automation environments that want to build investment applications, algorithmic trading systems, or financial analytics tools using the brokerage’s infrastructure. It includes example scripts that demonstrate how to authenticate with the service, retrieve financial data, and execute trading operations through REST and WebSocket interfaces. ... -
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imodelsX
Interpretable prompting and models for NLP
Interpretable prompting and models for NLP (using large language models). Generates a prompt that explains patterns in data (Official) Explain the difference between two distributions. Find a natural-language prompt using input-gradients. Fit a better linear model using an LLM to extract embeddings. Fit better decision trees using an LLM to expand features. Finetune a single linear layer on top of LLM embeddings. Use these just a like a sci-kit-learn model. -
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LoLLMs Hub Fortress
A proxy server for multiple ollama instances with Key security
LoLLMs Hub Fortress is a high-performance AI orchestration platform designed to unify multiple large language model backends into a single, secure, and scalable API layer. It acts as a central gateway that connects different inference engines such as Ollama, llama.cpp, vLLM, and OpenAI-compatible services, allowing them to function as interchangeable compute nodes within one system. The architecture is built around a hierarchical “master and slave” hub model, enabling distributed deployments... -
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Browser Harness
Self-healing browser harness that enables LLMs to complete any task
...The implementation is intentionally compact, with a small set of core files handling installation, day-to-day usage, helper methods, and the daemon layer that maintains the CDP websocket bridge. The repository also includes domain and interaction skills, suggesting that it is meant to be used as part of a broader agentic workflow rather than only as a low-level developer tool. -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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Text Embeddings Inference
High-performance inference server for text embeddings models API layer
Text Embeddings Inference is a high-performance server designed to serve text embedding models efficiently in production environments. It focuses on delivering fast and scalable embedding generation by leveraging optimized inference techniques and modern hardware acceleration. It is built to support transformer-based embedding models, making it suitable for tasks such as semantic search, clustering, and retrieval-augmented systems. It provides an API interface that allows developers to... -
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Android Emulator Container Scripts
Minimal scripts to run the emulator in a container for various systems
android-emulator-container-scripts turns the Android Emulator into a cloud-native service you can run in Docker and Kubernetes, so teams can provision ephemeral Android devices on demand. It includes scripts and container images that configure the emulator for headless operation, wire up networking, and expose endpoints for ADB and web access. A built-in WebRTC bridge lets you stream the emulator screen to a browser with interactive input, which is ideal for CI dashboards, remote debugging, or demo environments. The project focuses on reproducibility and scale: you define which system image to boot, how to persist or reset data, and how many instances to run, then schedule them like any other workload. ... -
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Django OAuth Toolkit
OAuth2 goodies for the Djangonauts!
Django OAuth Toolkit can help you by providing, out of the box, all the endpoints, data, and logic needed to add OAuth2 capabilities to your Django projects. Django OAuth Toolkit makes extensive use of the excellent OAuthLib, so that everything is rfc-compliant. OAuth is an open standard for access delegation, commonly used as a way for Internet users to grant websites or applications access to their information on other websites but without giving them the passwords. ... -
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Tweepy
Twitter for Python
...You can also use Git to clone the repository from GitHub to install the latest development version. The easiest way to install the latest version from PyPI is by using pip. Twitter requires all requests to use OAuth for authentication. The API class provides access to the entire twitter RESTful API methods. Each method can accept various parameters and return responses. When we invoke an API method most of the time returned back to us will be a Tweepy model class instance. This will contain the data returned from Twitter which we can then use inside our application. Models contain the data and some helper methods which we can then use. ... -
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Hindsight
Hindsight: Agent Memory That Learns
Hindsight is an advanced, open-source memory system for AI agents designed to enable long-term learning, reasoning, and consistency across interactions by treating memory as a first-class component of intelligence rather than a simple retrieval layer. It addresses one of the core limitations of modern AI agents, which is their inability to retain and meaningfully use past experiences over time, by introducing a structured, biomimetic memory architecture inspired by how human memory works. Instead of relying solely on vector similarity or basic retrieval techniques, Hindsight organizes information into distinct categories such as facts, experiences, beliefs, and observations, allowing agents to differentiate between raw data and inferred knowledge. ... -
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Biomni
Biomni: a general-purpose biomedical AI agent
Biomni is a general-purpose biomedical AI agent designed to autonomously perform complex research tasks across a wide range of scientific domains, combining language model reasoning with structured planning and execution. It integrates retrieval-augmented generation with code-based execution, allowing it to access external knowledge, process data, and generate testable hypotheses in scientific workflows. The system is built to support researchers by automating repetitive and time-consuming tasks such as literature review, data analysis, and experimental design. Biomni operates within a comprehensive environment that includes tools, APIs, and datasets, enabling it to execute multi-step research processes rather than just generating text responses. ... -
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Basic Memory
Persistent AI memory using local Markdown knowledge graphs
...Instead of losing context after each chat, it stores information as simple Markdown files on your device, allowing both you and AI to read and write to the same knowledge base. It uses the Model Context Protocol (MCP) so compatible AI tools can access, update, and build on your notes across sessions. Basic Memory creates a semantic knowledge graph by linking related ideas, making it easier to retrieve, expand, and connect information over time. With a local-first design, your data stays private and portable, while optional cloud sync enables cross-device access. It combines simplicity with powerful indexing and search, giving you a flexible way to build long-term memory for projects, research, and workflows. -
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Streamlink
Streamlink is a CLI utility which pipes video streams
...The main purpose of Streamlink is to avoid resource-heavy and unoptimized websites, while still allowing the user to enjoy various streamed content. There is also an API available for developers who want access to the stream data. Streamlink is built upon a plugin system that allows support for new services to be easily added. Most of the big streaming services are supported. Streamlink is made up of two parts, a cli and a library API. See their respective sections for more information on how to use them. The default behavior of Streamlink is to playback streams in the VLC player. ... -
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OpenMemory
Local long-term memory engine for AI apps with persistent storage
OpenMemory is a self-hosted memory engine designed to provide long-term, persistent storage for AI and LLM-powered applications. It enables developers to give otherwise stateless models a structured memory layer that can store, retrieve, and manage contextual information over time. OpenMemory is built around a hierarchical memory architecture that organizes data into semantic sectors and connects them through a graph-based structure for efficient retrieval. It supports multiple embedding strategies, including synthetic and semantic embeddings, allowing developers to balance speed and accuracy depending on their use case. ... -
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Mathematics Dataset
This dataset code generates mathematical question and answer pairs
The Mathematics Dataset, developed by Google DeepMind, is a synthetic dataset designed to evaluate and train machine learning models on mathematical reasoning and symbolic manipulation. It generates question-and-answer pairs across a wide range of mathematical topics typically found in school-level curricula, testing a model’s ability to reason about algebra, arithmetic, calculus, probability, and more. Each question is programmatically generated with structured templates to ensure clear... -
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MemOS
AI memory OS for LLM and Agent systems
MemOS is an experimental operating system and runtime built around the concept of memory-centric computing, where memory objects are first-class citizens and program execution is organized around efficient, persistent memory access rather than traditional process and file system boundaries. The project explores rethinking system abstractions by tightly coupling computation with memory objects so that programs can operate on large datasets without expensive serialization or context switching. It aims to support advanced workflows like persistent in-memory data structures, crash-resilient state handling, and seamless sharing of data across tasks without copying. ... -
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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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Pydoll
Async Python library in automating Chromium browsers without WebDriver
Pydoll is a Python library designed for automating Chromium-based web browsers such as Chrome and Edge without relying on a traditional WebDriver layer. Instead of using external drivers, it connects directly to the Chrome DevTools Protocol through WebSocket, allowing scripts to control browser behavior more efficiently and with fewer compatibility issues. It provides a high-level API that simplifies common browser automation tasks while still offering access to low-level protocol features for advanced control. ... -
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StableSwarmUI
Multi-user UI for managing and running Stable Diffusion workflows tool
StableSwarmUI is a web-based interface designed to manage and coordinate Stable Diffusion image generation workflows in a multi-user environment. It focuses on enabling multiple users to interact with shared resources, making it suitable for collaborative or server-based deployments. It provides a centralized system where users can submit, monitor, and manage generation tasks through a browser interface. It abstracts much of the complexity involved in running diffusion models by offering a... -
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Natural Language Toolkit
NLTK Source
...NLTK was originally developed to support research and teaching in computational linguistics and artificial intelligence, and it has become one of the most influential educational platforms for learning NLP in Python. The project also includes access to numerous linguistic corpora and lexical resources that can be downloaded and used directly in experiments and applications. -
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Xteam
All-in-one command-line toolkit for security testing and OSINT tools
Xteam is a command-line security toolkit designed to provide multiple penetration testing and information-gathering utilities in a single interface. It combines several modules and external tools to help users perform security research tasks related to mobile devices, wireless networks, and online services. It acts as a centralized launcher that integrates scripts and third-party tools, allowing users to access different testing functions through a menu-based command line workflow. Xteam...
