Showing 366 open source projects for "data access layer"

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  • 1
    Dash Data Agent

    Dash Data Agent

    Self-learning data agent that grounds its answers in layers of content

    Dash is a self-learning data agent built by the Agno AI community that generates grounded answers to English queries over structured data by synthesizing SQL and reasoning based on six layers of context, improving automatically with each run. It sidesteps common limitations of simple text-to-SQL agents by incorporating multiple context layers — including schema structure, human annotations, known query patterns, institutional knowledge from docs, machine-discovered error patterns, and live...
    Downloads: 1 This Week
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  • 2
    OPAL

    OPAL

    Policy and data administration, distribution, and real-time updates

    OPAL is an open-source administration layer for keeping authorization policies and authorization data synchronized in real time. It works with policy engines such as OPA and Cedar so applications can make decisions using current policy and data without constantly rebuilding custom sync logic. The project aggregates policy and data from external sources, watches for changes, and distributes updates to connected policy agents.
    Downloads: 1 This Week
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  • 3
    OCRmyPDF

    OCRmyPDF

    OCRmyPDF adds an OCR text layer to scanned PDF files

    OCRmyPDF adds an optical character recognition (OCR) text layer to scanned PDF files, allowing them to be searched. PDF is the best format for storing and exchanging scanned documents. Unfortunately, PDFs can be difficult to modify. OCRmyPDF makes it easy to apply image processing and OCR (recognized, searchable text) to existing PDFs.
    Downloads: 112 This Week
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  • 4
    Docling

    Docling

    Get your documents ready for gen AI

    ...Its modular architecture allows developers to extend functionality and integrate specialized models for tasks such as OCR and audio transcription. Overall, Docling serves as a comprehensive preprocessing layer for AI applications that require reliable, structured access to complex document data.
    Downloads: 6 This Week
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  • 5
    Feast

    Feast

    Feature Store for Machine Learning

    ...Avoid data leakage by generating point-in-time correct feature sets so data scientists can focus on feature engineering rather than debugging error-prone dataset joining logic. This ensure that future feature values do not leak to models during training. Decouple ML from data infrastructure by providing a single data access layer that abstracts feature storage from feature retrieval, ensuring models remain portable as you move from training models to serving models, from batch model
    Downloads: 0 This Week
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  • 6
    cognee

    cognee

    Deterministic LLMs Outputs for AI Applications and AI Agents

    Cognee implements scalable, modular data pipelines that allow for creating the LLM-enriched data layer using graph and vector stores. Cognee acts a semantic memory layer, unveiling hidden connections within your data and infusing it with your company's language and principles. This self-optimizing process ensures ultra-relevant, personalized, and contextually aware LLM retrievals.
    Downloads: 2 This Week
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  • 7
    E2M

    E2M

    E2M converts various file types (doc, docx, epub, html, htm, url

    ...By acting as a transformation layer, the software can support workflows such as converting data formats, integrating services, or bridging incompatible systems. The mirror hosted on SourceForge ensures that developers can continue accessing the project even if the primary repository becomes unavailable.
    Downloads: 0 This Week
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  • 8
    Smallpond

    Smallpond

    A lightweight data processing framework built on DuckDB and 3FS

    ...Users write Python-like code (via DataFrame APIs or SQL strings) to express their transformations; behind the scenes, tasks are scheduled (often via Ray) and pushed into DuckDB instances operating on partitioned data. Because the storage layer (3FS) is optimized for random access and high throughput, smallpond can shuffle data, repartition, and manage intermediate results across nodes.
    Downloads: 0 This Week
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  • 9
    PipesHub

    PipesHub

    Workplace AI platform for enterprise search and workflow automation

    PipesHub AI is an open-source, enterprise-grade workplace AI platform designed to unify search, knowledge management, and workflow automation across distributed organizational systems. It connects to a wide range of enterprise tools such as Google Workspace, Slack, Jira, and Confluence, aggregating data into a centralized knowledge layer that can be queried using natural language. The platform uses knowledge graphs and ranking algorithms to provide context-rich answers along with traceable sources, improving transparency and trust in AI-generated insights. PipesHub also enables the creation of custom AI agents and applications through a no-code interface, allowing teams to automate workflows and build intelligent tools without deep technical expertise. ...
    Downloads: 1 This Week
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  • 10
    Bracket

    Bracket

    Selfhosted tournament system

    Bracket is an open-source tool that tracks and manages data access across your PostgreSQL database. It provides visibility into which parts of your codebase are accessing which tables and columns, enabling data governance, security auditing, and architectural insights. Bracket is particularly helpful for growing teams needing better observability in complex applications.
    Downloads: 1 This Week
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  • 11
    DictDataBase

    DictDataBase

    A python NoSQL dictionary database, with concurrent access and ACID

    DictDataBase (DictDB) is a lightweight, Python-based in-memory database that uses dictionaries as its primary data structure. It provides a simple and efficient way to store, retrieve, and manipulate data without requiring an external database server. DictDB is useful for applications needing fast lookups, temporary storage, or embedded database functionalities.
    Downloads: 1 This Week
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  • 12
    Copulas

    Copulas

    A library to model multivariate data using copulas

    Access & manipulate learned parameters. With complete access to the internals of the model, set or tune parameters to your choosing.
    Downloads: 0 This Week
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  • 13
    Legion MCP

    Legion MCP

    A server that helps people access and query data in databases

    The Legion MCP Server is designed to help users access and query data in databases using the Legion Query Runner, integrated with the Model Context Protocol (MCP) Python SDK. It facilitates efficient data retrieval and analysis through standardized interfaces. ​
    Downloads: 0 This Week
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  • 14
    Seeker

    Seeker

    Accurately Locate Smartphones using Social Engineering

    Seeker is an open source project that demonstrates how to obtain precise location information from devices using social engineering and web-based techniques. The tool sets up a phishing page that asks for location permissions, allowing GPS and other device data to be shared if the user consents. It can capture latitude, longitude, accuracy, altitude, direction, and even speed, with results displayed in a terminal. The project supports both manual deployment and tunneling services like Ngrok for external access. While primarily intended as an educational resource on security awareness, it highlights the risks of exposing geolocation data online. ...
    Downloads: 31 This Week
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  • 15
    DouK-Downloader

    DouK-Downloader

    TikTok releases/likes/compilations/live streams/videos/atlases/music

    ...The software goes beyond simple downloading by offering comprehensive data collection features, including comments, user statistics, and trending data such as hot boards and search results. It supports automated workflows like incremental downloads, duplicate detection, and persistent storage of collected data in formats like CSV, XLSX, and SQLite, making it useful for both content archiving and analytics.
    Downloads: 13 This Week
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  • 16
    notebooklm-py

    notebooklm-py

    Unofficial Python API and agentic skill for Google NotebookLM

    notebooklm-py is an unofficial Python API and agent-ready integration layer for Google NotebookLM that exposes NotebookLM functionality through code, the command line, and AI agent workflows. Its goal is to provide programmatic access not just to standard notebook operations, but also to many capabilities that are either limited or unavailable in the web interface, making it especially useful for automation and custom pipelines.
    Downloads: 7 This Week
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  • 17
    OpenDataMCP

    OpenDataMCP

    Connect any Open Data to any LLM with Model Context Protocol

    An initiative aimed at connecting open datasets to Large Language Models (LLMs) using the Model Context Protocol, facilitating seamless access and integration of public data into AI applications. ​
    Downloads: 0 This Week
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  • 18
    glom

    glom

    Python's nested data operator

    glom is a Python library and command-line tool for accessing, restructuring, and transforming nested data. It is designed for real-world data structures where dictionaries, objects, and lists are deeply nested and difficult to handle cleanly. Developers can use path-based access to retrieve values without writing long chains of fragile indexing code. The library also provides readable error messages, which makes debugging broken paths much easier.
    Downloads: 1 This Week
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  • 19
    kagglehub

    kagglehub

    Python library to access Kaggle resources

    ...The library is designed to work both inside and outside Kaggle Notebooks, with native behavior that can adapt when it runs in Kaggle’s hosted notebook environment. It is useful for machine learning workflows where data, models, and notebook artifacts need to be pulled into scripts, experiments, or pipelines. kagglehub also supports authentication so users can access private or restricted resources when their account has permission. Its main value is making Kaggle assets easier to consume programmatically in Python-first data science and AI development workflows.
    Downloads: 1 This Week
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  • 20
    Omnigent

    Omnigent

    A meta-harness for all your AI agents

    Omnigent is a meta-harness for managing many AI agents through one shared layer. It works with Claude Code, Codex, Cursor, Pi, and custom YAML-defined agents, so users can swap or combine agent runtimes without rebuilding their workflows. Sessions can move across terminal, browser, desktop, and mobile interfaces while keeping messages, files, terminals, and subagents in sync. The platform supports collaboration, shared live sessions, co-driving, conversation forking, and remote access from deployed servers. ...
    Downloads: 2 This Week
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  • 21
    jlens

    jlens

    Companion code for the global workspace interpretability paper

    ...It supports open-weight Hugging Face decoder models, with Qwen used in the included examples. The repository also provides synthetic evaluation data and an end-to-end notebook, but it is not maintained.
    Downloads: 1 This Week
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  • 22
    GAM

    GAM

    Command line management for Google Workspace

    ...GAM will also be added to your path so you can run GAM even if you're not in the GAM folder. At the end of the MSI install process, GAM will open a command prompt to allow you to setup a project and authorize GAM for admin management and user data/config access.
    Downloads: 42 This Week
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  • 23
    Claude Scientific Skills

    Claude Scientific Skills

    A set of ready to use Agent Skills for research, science, engineering

    ...Overall, the repository acts as a modular capability layer that transforms general AI agents into domain-aware computational scientists.
    Downloads: 10 This Week
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  • 24
    Logfire MCP

    Logfire MCP

    The Logfire MCP Server is here

    The Logfire MCP Server is a Model Context Protocol server that allows AI applications to access OpenTelemetry traces and metrics sent to Logfire. It enables retrieval and analysis of telemetry data, enhancing debugging and observability workflows. ​
    Downloads: 14 This Week
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  • 25
    SQLAlchemy

    SQLAlchemy

    The Database Toolkit for Python

    SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL. SQLAlchemy provides a full suite of well known enterprise-level persistence patterns, designed for efficient and high-performing database access, adapted into a simple and Pythonic domain language. An industrial strength ORM, built from the core on the identity map, unit of work, and data mapper patterns. These patterns allow the transparent persistence of objects using a declarative configuration system. Domain models can be constructed and manipulated naturally, and changes are synchronized with the current transaction automatically. ...
    Downloads: 4 This Week
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