Base Map Site
A mapping platform that is configurable by a simple json file.
Explore our portfolio of projects and solutions
Showcasing 67 featured projects across 149 categories
A mapping platform that is configurable by a simple json file.
A BeeWare, multiplatform implementation of Barry.
Develop a web application framework using Doxus, featuring multiple configuration files spread across different directories, along with dependencies specified in Cargo.toml.
Simple drawing app to experiment with the html canvas.
Early version of Barry and Brian
A simple multiplatform application in Flet.
A Web Mapping tool focused on creating a modular, extensible caching/panelization framework for Python applications.
Builds an frontend application, manages backend servers with Celery workers, handles requests via Alembic migrations, and runs on development and production with Pymunko for JSON handling.
An application that generates a web-based map using Flask and OSM, to display the changes in OSM over time.
Create a plugin tool for handling OSM data within QGIS to process and map routes.
A Python-based application using APIs for financial data analysis and potentially as a trading backend.
Provide a comprehensive solution for managing Supabase databases integrated with Martin Vector tile server, including configuration setup, frontend development, and integration across various systems.
A desktop GUI for trading Crypto currencies with chart and analysis facilities.
The main goal is to manage manipulate the Blender space with python, building primitives and animations.
To create a robust and user-friendly web platform for managing and displaying cruise data aggregation from multiple sources. It uses Next.js, Supabase, and TypeScript/JavaScript to build an API endpoint as a React frontend that dynamically constructs a modern web interface for displaying cruise options and data.
Develop spatial tools in Databricks using Python and Sedona.
Develop a caching solution for GIS applications using DuckDB, focusing on efficient handling of various spatial data formats.
The project focuses on creating a simple charting solution for use with pytest. It includes modules for various chart types, configuration files, and example scripts, suggesting it handles data visualization tasks efficiently.
To develop Crosstabs from customer sentiment surveys.
Crypto websockets and real-time charting
The project MBUtil is focused on managing geospatial data files via utility applications, particularly for services like Mapbox or TileMill. It provides a solution for handling large MBTiles files on disk by offering utilities to import/export such data.
The main goal is to handle graph-related data in Python, using modular modules to analyse crypto currency markets.
The main goal is to develop a Python-based data analysis and trading system GUI application.
Provide tools and scripts to run tests for a trading backtesting system.
A BeeWare, multiplatform implementation of Barry.
A comprehensive framework for integrating cryptocurrency bot operations with various computational libraries such as PyTorch, NumPy, and Pandas.
Simple drawing app to experiment with the html canvas.
Early version of Barry and Brian
Develop a scalable, efficient spatial network matching tool with advanced features, including hierarchical and geometric/topological matching, leveraging high-performance computing techniques such as feature extraction, R-tree indexing, MMU-based Delaunay triangulation, and parallel processing.
A simple multiplatform application in Flet.
The project focuses on handling large financial datasets efficiently, using tools like Pandas for memory management of time series data. The main goal is to manage these datasets effectively, possibly through cache files and dependency management in a reproducible way.
A Web Mapping tool focused on creating a modular, extensible caching/panelization framework for Python applications.
Create a plugin tool for handling OSM data within QGIS to process and map routes.
An early version exploring arbitrage in the crypto currency market
A comprehensive framework for integrating cryptocurrency bot operations with various computational libraries such as PyTorch, NumPy, and Pandas.
Early version of Barry and Brian
A simple multiplatform application in Flet.
The project OrataMap is focused on implementing a cache to speed spatial processing.
Exploration of the spatial database Tile38
Create a KIVY based multi-platform AI tool similar to Barry.
The project _botAround uses Python libraries like pycryptobot for backend operations and focuses on managing data from cache directories. It suggests not using pytest due to security issues but advises alternative caching mechanisms. The main goal is to optimize performance through efficient resource management.
DuckMan is designed to offer a structured approach for managing and executing web-based applications in Python, emphasizing modular code design, configuration, and test integration.
The main goal of the "cache_duck" project is to create a cache library for GIS applications using DuckDB, focusing on core functionality, integration with existing tools, and support for various spatial data formats.
A desktop GUI for trading Crypto currencies with chart and analysis facilities.
A scalable API application using FastAPI with dependencies on Alembic for versioning. It includes Alembic for migrations, and standard FastAPI dependencies such as database integration.
An early version exploring arbitrage in the crypto currency market
Create a comprehensive TypeScript-based project with multiple subprojects for content creation, configuration setup, integration of testing frameworks, automation, and user-friendly workflow management.
An early version exploring arbitrage in the crypto currency market
A rudimentary IT network modeling application.
A locally hosted AutoGPT, a powerful platform that allows you to create, deploy, and manage continuous AI agents that automate complex workflows.
A mapping platform that is configurable by a simple json file.
The project focuses on handling large financial datasets efficiently, using tools like Pandas for memory management of time series data. The main goal is to manage these datasets effectively, possibly through cache files and dependency management in a reproducible way.
The project OrataMap is focused on implementing a cache to speed spatial processing.
The project focuses on handling large financial datasets efficiently, using tools like Pandas for memory management of time series data. The main goal is to manage these datasets effectively, possibly through cache files and dependency management in a reproducible way.
The project OrataMap is focused on implementing a cache to speed spatial processing.
A python based desktop AI application that uses PyMovie to create 1 Minute videos for social media. Uses AI to summarise text stories the create a script, then voice by text-to-speech, video clip created with market tickers for current crypto currency markets.
A development setup where Python files and other sources are used, potentially extending existing tools beyond coding itself.
Develop an automated trading bot using Python's Oanda API with components like pandas, numpy, matplotlib, and adodbapi.
To create .mp4 videos using Reddit posts and comments.
A comprehensive set of tools and libraries for AI-related tasks in a Python-based environment.
A comprehensive set of tools and libraries for AI-related tasks in a Python-based environment.
A comprehensive set of tools and libraries for AI-related tasks in a Python-based environment.
A comprehensive set of tools and libraries for AI-related tasks in a Python-based environment.
A comprehensive set of tools and libraries for AI-related tasks in a Python-based environment.
A comprehensive set of tools and libraries for AI-related tasks in a Python-based environment.
A map tool that integrates uses Supabase Real-time to track uses and implement geofencing, and real-time chat between groups of users.
A map tool that integrates uses Supabase Real-time to track uses and implement geofencing, and real-time chat between groups of users.
An early version exploring arbitrage in the crypto currency market
An early version exploring arbitrage in the crypto currency market
Locally hosted Archon server, Power up your AI coding assistants with your own custom knowledge base and task management as an MCP server
Locally hosted Archon server, Power up your AI coding assistants with your own custom knowledge base and task management as an MCP server
Locally hosted Archon server, Power up your AI coding assistants with your own custom knowledge base and task management as an MCP server
Locally hosted Archon server, Power up your AI coding assistants with your own custom knowledge base and task management as an MCP server
Locally hosted Archon server, Power up your AI coding assistants with your own custom knowledge base and task management as an MCP server
A locally hosted AutoGPT, a powerful platform that allows you to create, deploy, and manage continuous AI agents that automate complex workflows.
A locally hosted AutoGPT, a powerful platform that allows you to create, deploy, and manage continuous AI agents that automate complex workflows.
A locally hosted AutoGPT, a powerful platform that allows you to create, deploy, and manage continuous AI agents that automate complex workflows.
A locally hosted AutoGPT, a powerful platform that allows you to create, deploy, and manage continuous AI agents that automate complex workflows.
A voice interactive AI client.
A voice interactive AI client.
A voice interactive AI client.
A voice interactive AI client.
Create a KIVY based multi-platform AI tool similar to Barry.
Create a KIVY based multi-platform AI tool similar to Barry.
A mapping platform that is configurable by a simple json file.
A mapping platform that is configurable by a simple json file.
An AI application that responds to Telegram voice messages, converts to text, analysed by AI and then returns the result as voiced AI response.
An AI application that responds to Telegram voice messages, converts to text, analysed by AI and then returns the result as voiced AI response.
The main goal of the "cache_duck" project is to create a cache library for GIS applications using DuckDB, focusing on core functionality, integration with existing tools, and support for various spatial data formats.
The main goal of the "cache_duck" project is to create a cache library for GIS applications using DuckDB, focusing on core functionality, integration with existing tools, and support for various spatial data formats.
The main goal of the "cache_duck" project is to create a cache library for GIS applications using DuckDB, focusing on core functionality, integration with existing tools, and support for various spatial data formats.
The main goal of the "cache_duck" project is to create a cache library for GIS applications using DuckDB, focusing on core functionality, integration with existing tools, and support for various spatial data formats.
A project to discover arbitrage opportunities in the crypto market across exchanges, it was 3 currencies arbitrage with as many exchanges as configured. It is desktop GUI featuring graphs and real time reporting and trade execution.
A project to discover arbitrage opportunities in the crypto market across exchanges, it was 3 currencies arbitrage with as many exchanges as configured. It is desktop GUI featuring graphs and real time reporting and trade execution.
A project to discover arbitrage opportunities in the crypto market across exchanges, it was 3 currencies arbitrage with as many exchanges as configured. It is desktop GUI featuring graphs and real time reporting and trade execution.
A project to discover arbitrage opportunities in the crypto market across exchanges, it was 3 currencies arbitrage with as many exchanges as configured. It is desktop GUI featuring graphs and real time reporting and trade execution.
A comprehensive framework for integrating cryptocurrency bot operations with various computational libraries such as PyTorch, NumPy, and Pandas.
Develop a web application framework using Doxus, featuring multiple configuration files spread across different directories, along with dependencies specified in Cargo.toml.
Develop a web application framework using Doxus, featuring multiple configuration files spread across different directories, along with dependencies specified in Cargo.toml.
Develop a web application framework using Doxus, featuring multiple configuration files spread across different directories, along with dependencies specified in Cargo.toml.
Develop a web application framework using Doxus, featuring multiple configuration files spread across different directories, along with dependencies specified in Cargo.toml.
Develop a web application framework using Doxus, featuring multiple configuration files spread across different directories, along with dependencies specified in Cargo.toml.
The project aims to develop a web-based application using Rust, focusing on server and client components, asset management, and a modular structure across multiple packages.
The project aims to develop a web-based application using Rust, focusing on server and client components, asset management, and a modular structure across multiple packages.
The project aims to develop a web-based application using Rust, focusing on server and client components, asset management, and a modular structure across multiple packages.
The project aims to develop a web-based application using Rust, focusing on server and client components, asset management, and a modular structure across multiple packages.
Develop a scalable, efficient spatial network matching tool with advanced features, including hierarchical and geometric/topological matching, leveraging high-performance computing techniques such as feature extraction, R-tree indexing, MMU-based Delaunay triangulation, and parallel processing.
Develop a scalable, efficient spatial network matching tool with advanced features, including hierarchical and geometric/topological matching, leveraging high-performance computing techniques such as feature extraction, R-tree indexing, MMU-based Delaunay triangulation, and parallel processing.
The main goal is to develop a Fastader application for multiple trading exchanges.
The main goal is to develop a Fastader application for multiple trading exchanges.
Repository of exercises created in Udemy AI course
Repository of exercises created in Udemy AI course
Repository of exercises created in Udemy AI course
Repository of exercises created in Udemy AI course
Repository of exercises created in Udemy AI course
The project "GEOpandasPlay" focuses on providing a stable and documented implementation of the pandas library for data manipulation, including related configurations and sample code examples to assist developers in using it effectively.
The project "GEOpandasPlay" focuses on providing a stable and documented implementation of the pandas library for data manipulation, including related configurations and sample code examples to assist developers in using it effectively.
The project "GEOpandasPlay" focuses on providing a stable and documented implementation of the pandas library for data manipulation, including related configurations and sample code examples to assist developers in using it effectively.
The project "GEOpandasPlay" focuses on providing a stable and documented implementation of the pandas library for data manipulation, including related configurations and sample code examples to assist developers in using it effectively.
The project "GEOpandasPlay" focuses on providing a stable and documented implementation of the pandas library for data manipulation, including related configurations and sample code examples to assist developers in using it effectively.
The project "GEOpandasPlay" focuses on providing a stable and documented implementation of the pandas library for data manipulation, including related configurations and sample code examples to assist developers in using it effectively.
The main goal of the LegoCar project is to develop a vehicle control system using PyBricks, and Lego Mindstorm.
The main goal of the LegoCar project is to develop a vehicle control system using PyBricks, and Lego Mindstorm.
The main goal of the LegoCar project is to develop a vehicle control system using PyBricks, and Lego Mindstorm.
The main goal is to create tools to match OSM road networks with a reference network, ensuring accurate data alignment and providing real-time data validation. Using the Manus AI.
The main goal is to create tools to match OSM road networks with a reference network, ensuring accurate data alignment and providing real-time data validation. Using the Manus AI.
The main goal is to create tools to match OSM road networks with a reference network, ensuring accurate data alignment and providing real-time data validation. Using the Manus AI.
Adhoc static map products
Adhoc static map products
Adhoc static map products
Adhoc static map products
Adhoc static map products
Adhoc static map products
Adhoc static map products
Provides a comprehensive toolkit for sentiment analysis by offering test scripts for evaluating sentiment.
Provides a comprehensive toolkit for sentiment analysis by offering test scripts for evaluating sentiment.
Provides a comprehensive toolkit for sentiment analysis by offering test scripts for evaluating sentiment.
Provides a comprehensive toolkit for sentiment analysis by offering test scripts for evaluating sentiment.
Provides a comprehensive toolkit for sentiment analysis by offering test scripts for evaluating sentiment.
Provides a comprehensive toolkit for sentiment analysis by offering test scripts for evaluating sentiment.
The project provides a custom Time MCP Server tool designed for automatic time conversion via command-line tools or scripts.
The project provides a custom Time MCP Server tool designed for automatic time conversion via command-line tools or scripts.
The project provides a custom Time MCP Server tool designed for automatic time conversion via command-line tools or scripts.
Develop a multi-platform React application using Python integration for various functions. A predecessor to Cros Trader.
Develop a multi-platform React application using Python integration for various functions. A predecessor to Cros Trader.
Develop a multi-platform React application using Python integration for various functions. A predecessor to Cros Trader.
Create a comprehensive TypeScript-based project with multiple subprojects for content creation, configuration setup, integration of testing frameworks, automation, and user-friendly workflow management.
A python based desktop AI application that uses PyMovie to create 1 Minute videos for social media. Uses AI to summarise text stories the create a script, then voice by text-to-speech, video clip created with market tickers for current crypto currency markets.
Develop an automated trading bot using Python's Oanda API with components like pandas, numpy, matplotlib, and adodbapi.
Develop an automated trading bot using Python's Oanda API with components like pandas, numpy, matplotlib, and adodbapi.
OrartaGroup_Utility is a utility package focused on managing PyPI packages according to specific vendor policies, likely offering tools for command-line interaction and version control.
OrartaGroup_Utility is a utility package focused on managing PyPI packages according to specific vendor policies, likely offering tools for command-line interaction and version control.
OrartaGroup_Utility is a utility package focused on managing PyPI packages according to specific vendor policies, likely offering tools for command-line interaction and version control.
Builds an frontend application, manages backend servers with Celery workers, handles requests via Alembic migrations, and runs on development and production with Pymunko for JSON handling.
The main goal is to create a comprehensive toolset integrating multiple tools within a data advisory firm's workflow.
The main goal is to create a comprehensive toolset integrating multiple tools within a data advisory firm's workflow.
The main goal is to create a comprehensive toolset integrating multiple tools within a data advisory firm's workflow.
The main goal is to create a comprehensive toolset integrating multiple tools within a data advisory firm's workflow.
An application that generates a web-based map using Flask and OSM, to display the changes in OSM over time.
An application that generates a web-based map using Flask and OSM, to display the changes in OSM over time.
An application that uses OAuth2 authentication to update parts of the OpenStreetMap dataset batch-wise. This involves creating a Python script that interacts with these tools, managing configuration, and processing data in batches while handling potential errors gracefully.
An application that uses OAuth2 authentication to update parts of the OpenStreetMap dataset batch-wise. This involves creating a Python script that interacts with these tools, managing configuration, and processing data in batches while handling potential errors gracefully.
An application that uses OAuth2 authentication to update parts of the OpenStreetMap dataset batch-wise. This involves creating a Python script that interacts with these tools, managing configuration, and processing data in batches while handling potential errors gracefully.
An application that uses OAuth2 authentication to update parts of the OpenStreetMap dataset batch-wise. This involves creating a Python script that interacts with these tools, managing configuration, and processing data in batches while handling potential errors gracefully.
An application that uses OAuth2 authentication to update parts of the OpenStreetMap dataset batch-wise. This involves creating a Python script that interacts with these tools, managing configuration, and processing data in batches while handling potential errors gracefully.
An application that uses OAuth2 authentication to update parts of the OpenStreetMap dataset batch-wise. This involves creating a Python script that interacts with these tools, managing configuration, and processing data in batches while handling potential errors gracefully.
A Valhalla based method for matching road networks.
A Valhalla based method for matching road networks.
A Valhalla based method for matching road networks.
A Valhalla based method for matching road networks.
A Valhalla based method for matching road networks.
A development setup where Python files and other sources are used, potentially extending existing tools beyond coding itself.
A development setup where Python files and other sources are used, potentially extending existing tools beyond coding itself.
A Python-based QR code generation system with configuration support.
The project focuses on developing a Qt-based application using C++ with Qt components for a graphical user interface.
The project focuses on developing a Qt-based application using C++ with Qt components for a graphical user interface.
To create .mp4 videos using Reddit posts and comments.
A Python-based application using APIs for financial data analysis and potentially as a trading backend.
A Python-based application using APIs for financial data analysis and potentially as a trading backend.
A desktop GUI for trading Crypto currencies with chart and analysis facilities.
The main goal of _TheDesk2_ is to provide a Python-based data processing system optimized for performance using modern libraries, likely for applications in finance or trading.
The main goal of _TheDesk2_ is to provide a Python-based data processing system optimized for performance using modern libraries, likely for applications in finance or trading.
The main goal of _TheDesk2_ is to provide a Python-based data processing system optimized for performance using modern libraries, likely for applications in finance or trading.
Exploration of the spatial database Tile38
Exploration of the spatial database Tile38
Exploration of the spatial database Tile38
Exploration of the spatial database Tile38
The main goal of this Unreal_Projects folder is to develop and manage an Unreal Engine project efficiently.
The main goal of this Unreal_Projects folder is to develop and manage an Unreal Engine project efficiently.
The main goal of the _whoswhere project is to create an interactive discovery interface using Python and QML to connect with various user data sources in different environments, likely managing multiple concurrent setups within a Docker environment.
The main goal of the _whoswhere project is to create an interactive discovery interface using Python and QML to connect with various user data sources in different environments, likely managing multiple concurrent setups within a Docker environment.
The main goal of the _whoswhere project is to create an interactive discovery interface using Python and QML to connect with various user data sources in different environments, likely managing multiple concurrent setups within a Docker environment.
The main goal of the _whoswhere project is to create an interactive discovery interface using Python and QML to connect with various user data sources in different environments, likely managing multiple concurrent setups within a Docker environment.
A scalable API application using FastAPI with dependencies on Alembic for versioning. It includes Alembic for migrations, and standard FastAPI dependencies such as database integration.
A scalable API application using FastAPI with dependencies on Alembic for versioning. It includes Alembic for migrations, and standard FastAPI dependencies such as database integration.
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