30 open-source projects similar to mit-lcp/mimic-code, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Mimic Code alternative.
OpenEMR is an open-source electronic health record (EHR) system that also functions as a medical practice management platform and a patient portal, all integrated with standards-based health data exchange. It stores and manages patient health records, handles clinical workflows, supports scheduling and billing, and provides patients with secure self-service access to their information. Interoperability is built in via FHIR and C-CDA for exchanging records with external systems and Direct protocol for encrypted provider messaging. The system is designed to be extensible, with a modular plugin
Weasis is a professional medical imaging platform designed for the visualization, analysis, and integration of clinical studies. It functions as a modular framework that supports the rendering of diverse medical data, including multi-modal images, 3D volumes, segmentations, and structured reports. By utilizing standardized protocols, the platform serves as a comprehensive viewer that connects directly to hospital archives and clinical information systems. The platform distinguishes itself through a highly extensible, plugin-based architecture that allows developers to integrate custom tools,
This library is a data processing framework for the JVM that provides a type-safe environment for manipulating structured tabular data. It functions as a comprehensive toolset for performing complex data transformations, aggregations, and statistical analysis, while leveraging compile-time schema validation to ensure structural integrity across data pipelines. The project distinguishes itself through its deep integration with interactive notebook environments and its use of compile-time code generation. By automatically deriving and enforcing schemas from raw inputs, it generates type-safe ac
This project is a Python-based framework that functions as a generative AI agent for programmatic data analysis. It enables users to interact with structured data sources through natural language prompts, translating these requests into executable code to perform analysis, data cleaning, and visualization. By maintaining conversational context across multi-turn interactions, the system allows for iterative exploration and the building of complex data narratives. The framework distinguishes itself through a robust semantic layer and secure execution model. It maps raw datasets to descriptive m
This project is a Node.js client for PostgreSQL databases, providing a protocol parser to translate raw binary streams into JavaScript objects. It serves as a driver for executing queries, managing data, and integrating Node.js applications with PostgreSQL backends. The library includes a connection pool manager to reduce network overhead by caching reusable connections and a result streamer that uses cursors to retrieve large datasets incrementally. It also functions as an event listener for subscribing to asynchronous server-side notifications to trigger real-time application events. Broad
This project is a library of national flag assets provided in SVG and PNG formats. These assets are indexed by standard two-letter ISO country codes to enable programmatic retrieval and mapping. The library includes a set of scalable vector graphics based on official national laws and regulations, alongside pre-rendered raster exports in multiple widths. It utilizes a mapping system to link flags to their respective ISO country codes or relate those codes to country names. The collection covers visual indicators for web localization and data visualization, providing a system for adding accur
This repository contains the lab materials and Jupyter notebooks for MIT's introductory deep learning course, using TensorFlow and Keras for hands-on exercises. The courseware is delivered as pre-configured notebooks that run on Google Colaboratory's cloud infrastructure, eliminating the need for local software installation. Learners can toggle the Colab runtime to a GPU-backed hardware accelerator for faster neural network training during lab exercises. A shared Python package provides helper functions that standardize common operations across all notebooks. The course guides students throug
Squirrel is a Go database library and SQL query builder that provides a programmatic interface for constructing and executing SQL statements. It enables the creation of queries using a fluent interface to avoid manual string concatenation. The library functions as a SQL dialect generator, producing queries formatted for specific database engines by adjusting placeholders and syntax to match target requirements. This allows for the generation of SQL compatible with multiple different database environments. Beyond query construction, the project covers the execution of generated statements aga
Oatpp is a high-performance C++ web framework and API development kit used for building REST APIs and web services. It functions as an asynchronous HTTP server that utilizes coroutines to handle thousands of simultaneous connections without blocking threads. The toolkit includes a native C++ object-relational mapping layer for executing SQL queries and transforming database results into data objects. It also provides a WebSocket communication library for establishing full-duplex channels to support real-time data streaming and live media. The framework covers a broad range of capabilities, i
Flask-SQLAlchemy is a relational database toolkit that integrates the SQLAlchemy object-relational mapper into web applications. It serves as a database session manager and schema toolkit, providing the necessary infrastructure to define data models and execute queries within a request lifecycle. The project is distinguished by its multi-database routing engine, which uses bind-keys to map different models to multiple distinct database engines. It also includes a SQL query auditing tool that captures and logs executed statements and timing data for a single request to identify performance bot
TablePro is a cross-platform database management client designed for browsing, querying, and administering both SQL and NoSQL databases. It functions as a unified workspace that integrates a code-centric SQL editor with schema visualization tools, allowing developers to manage complex data models and execute queries across diverse database engines. The application distinguishes itself through an agentic AI integration layer that connects language models directly to database tools, enabling automated query generation, optimization, and error fixing with configurable approval gates. It features
Memgraph is an in-memory, distributed graph database designed for high-performance labeled property graph management. It utilizes a Cypher query engine for declarative data retrieval and manipulation, providing a scalable knowledge graph backend that integrates vector search and graph traversals. The system distinguishes itself as a real-time graph analytics platform, employing native C++ and CUDA implementations to execute complex network analysis and dynamic community detection on streaming data. It provides specialized support for AI integration, including GraphRAG capabilities, the constr
koa2-note is a project focused on Koa2 web server development and Node.js asynchronous programming. It provides a framework for building web servers and APIs using an asynchronous middleware pipeline to handle request and response cycles. The project emphasizes a layered backend architecture that decouples routing, business services, and data models. It distinguishes itself through the integration of relational databases for persisting user sessions and application data, alongside a build process that includes JSX-to-JavaScript compilation for frontend assets. The capability surface covers b
whodb is a multi-database management interface and notebook client designed for exploring and managing data across various engines, including Postgres, MySQL, MongoDB, and Redis. It functions as a graphical interface for managing database connections, records, and schemas through a unified layer. The project features a natural language query interface that uses large language models to translate plain English into executable SQL or NoSQL queries. This is supported by schema-aware prompting that injects database metadata into the model context to ensure generated queries match actual table def
Peewee is a SQL object-relational mapper and query builder that provides an object-oriented interface for mapping application classes to relational database tables. It functions as a relational database toolkit for managing schemas, executing migrations, and handling complex table relationships. The project distinguishes itself by providing an asyncio database driver for non-blocking database operations, ensuring event loop responsiveness. It also supports semi-structured data storage, allowing the storage and querying of flexible JSON documents within traditional relational database systems.
CodeIgniter is a PHP web framework built on the Model-View-Controller pattern, designed for building full-stack web applications. It provides a lightweight toolkit with minimal configuration, organizing application logic into controllers, models, and views for clean separation of concerns. The framework includes a fluent query builder for constructing SQL statements programmatically, PSR-4 autoloading with namespace mapping, and a service-based dependency injection container for managing shared class instances. The framework distinguishes itself through its comprehensive set of built-in tools
Cloud Annotations is a web-based platform designed for collaborative image annotation and the preparation of computer vision datasets. It provides an interface for teams to draw bounding boxes and polygons over digital media, transforming raw images into structured training data for machine learning models. The platform distinguishes itself through a real-time synchronization engine that allows multiple users to edit the same image simultaneously. By utilizing browser-based local storage and standardized data serialization, it supports offline workflows and ensures that exported annotations r
Kore is an event-driven web and WebSocket server framework designed for building high-performance web services and APIs in C or Python. It functions as a secure, concurrent application framework that utilizes non-blocking I/O and isolated worker processes to handle high-concurrency traffic. The project is distinguished by a security-first architecture that features OS-level process sandboxing, privilege separation, and the isolation of private encryption keys into dedicated processes. It enables zero-downtime deployments through dynamic module hot-reloading and provides automated TLS certific
DB-GPT is an AI-driven database management system that uses agentic reasoning to execute data tasks. It converts natural language prompts into executable database queries and combines structured database records with unstructured knowledge bases to provide grounded analysis. The system orchestrates multi-step reasoning chains that integrate database queries, custom scripts, and external tool calls. It allows for the packaging of domain knowledge into reusable analysis skills and executes generated code within sandboxed environments for system safety. The platform covers data orchestration ac
Orange3 is a visual data mining platform that provides an interactive canvas for building data analysis workflows without writing code. At its core, it offers a widget-based visual programming environment where users connect configurable components to perform data preprocessing, machine learning model training, statistical evaluation, and interactive visualization. The platform is built on NumPy-backed data tables with domain descriptors that define variable names, types, and roles, and includes a lazy SQL query proxy for working with database tables without loading all data into memory. The
This project is a collection of educational resources and study materials focused on scientific computing and data analysis using Python. It consists of translated notes and Jupyter notebooks designed to guide learners through the Python data ecosystem. The content covers specialized workflows including numerical computation, data cleaning, and time series analysis. These materials provide a reference for performing complex data manipulations and processing sequential data to identify patterns. The resource is organized as a series of static files and markdown documents using a flat-file dir
sqlx is a set of extensions for the Go database/sql package that reduces boilerplate code by automating the mapping of database query results directly into structs and slices. It provides a wrapper around standard database types to eliminate manual row scanning and repetitive error handling. The project distinguishes itself through named parameter binding and query placeholder rebinding, which translate generic markers into driver-specific symbols. It also enables dynamic SQL execution by allowing the application to read and execute SQL statements directly from the filesystem. The library co
Rainfrog is a terminal-based database client that connects to multiple database engines, combining schema browsing, interactive SQL query execution, and inline data editing into a single terminal interface. It provides a tree navigator for exploring tables, columns, and indexes, and an inline cell editor that automatically constructs and executes the necessary UPDATE statements when a cell value is changed. The application also supports modal Vim-style keyboard shortcuts for cursor movement and editing, making it usable entirely from the keyboard. Query results are fetched in chunks and pagin
dlib is a C++ machine learning toolkit and data analysis framework. It provides a collection of algorithms and utilities for building predictive modeling applications and performing statistical analysis on large datasets within native C++ environments. The project functions as a binding library that wraps low-level C++ machine learning algorithms into high-level Python scripting interfaces. This allows for the integration of high-performance native implementations with Python for machine learning development. The framework covers the implementation of predictive models, the execution of mach
fmdb is an object-oriented SQLite database library and persistence layer for native macOS and iOS environments. It provides an Objective-C wrapper that encapsulates the low-level C API, allowing applications to manage local relational data storage and embedded database connections through a high-level interface. The library focuses on thread-safe database access by synchronizing operations across multiple threads using serialized queues to prevent data corruption and race conditions. It includes specialized capabilities for secure local storage, such as database encryption and the management
This project is a database access layer for PHP that provides a consistent interface for interacting with multiple relational database management systems. It functions as a unified abstraction layer, enabling developers to connect to various SQL databases and perform data operations through a standardized command set. The library distinguishes itself by utilizing a fluent query builder that allows for the programmatic construction of complex SQL statements. It further abstracts database interactions through a schema definition language, which enables the creation, modification, and management
Common.Utility is a general purpose utility library providing a collection of helper classes for common programming tasks. It functions as a data security framework, a database access wrapper, and a suite of tools for system administration and network communication. The library includes a multimedia processing suite for generating barcodes and QR codes, editing images, and converting video formats. It also provides a network communication toolkit for managing HTTP requests and FTP transfers, as well as integration with email and notification services. The project covers a broad set of capabi
sqlboiler is a database-first ORM generator for Go that analyzes an existing database schema to produce strongly typed structures and query helpers. It functions as a schema-driven code generator, transforming database tables and relationships into executable Go source code. The project distinguishes itself through a type-safe query builder that uses chainable modifiers to construct SQL statements, eliminating the need for raw string concatenation. It utilizes customizable text templates to generate source code, allowing for the aliasing of schema entities and the creation of custom templates
This project is an asyncio database abstraction layer that provides a common interface for performing non-blocking database operations in Python. It functions as an asynchronous database driver wrapper and a SQL expression builder, allowing for the construction of raw SQL strings from structured Python objects. The library includes an asyncio connection pool manager that utilizes task-local storage to handle connection lifecycles and reduce resource overhead. It also serves as an async database transaction manager, wrapping operations in atomic transactions and savepoints to maintain data int
Viewers is a zero-footprint DICOMweb medical imaging viewer and a modular plugin framework. It serves as a diagnostic interface for rendering 2D and 3D medical images, providing a web-based clinical workflow engine to automate image layouts and toolsets. The project distinguishes itself through a highly extensible architecture that allows for the development of custom clinical workflows, specialized viewing modes, and the integration of external functional extensions. It includes a dedicated command line interface for managing these plugins and supports white-labeling through a comprehensive