ejfox

An API and basic interface for entity searching from DBPedia, enhanced with images

// This approach uses the Sunset and Sunrise API to get sunset times for New York,

// This approach will fetch data from the specified endpoint, process it to create a GitHub-style contribution chart,

// This app creates a 10-second typing test with audio recording and spectrogram visualization.

An interactive, runnable TypeScript val by ejfox

* This API integrates with Calendly to fetch personal events for the current week. * It returns the events as raw JSON. * * Note: This requires a Calendly Personal Access Token to be set as an environment variable.

// This approach uses Google OAuth to authenticate the user and fetch their actual calendar events for the week.

* This chat application allows users to post messages and view a log of all messages. * It uses SQLite for persistence and React for the frontend. * The server handles message posting and retrieval, while the client renders the UI.

* This program creates a basic calculator endpoint that accepts and returns data in the specified format. * It uses a RESTful API approach where the operation is specified in the URL path. * The numbers to operate on are passed as query parameters. * The result is returned as JSON.

* This val creates a tech stack inventory chooser using React and Tailwind CSS for styling. * It allows users to select technologies for different categories and displays the chosen stack.

An interactive, runnable TypeScript val by ejfox

open "https://ejfox-codeshowcase.web.val.run/?code=$(pbpaste | jq -sRr @uri)" to get a screenshottable code snippet

@jsxImportSource https://esm.sh/react

* This val creates an interactive tech stack wizard that generates a video game-style inventory screen. * It uses React for the UI, leverages emoji and Unicode symbols for a visually rich experience, and * incorporates Tailwind CSS for elegant, grayscale styling. * The wizard allows users to select tools, libraries, and APIs, then displays them in a shareable format.

UMAP Dimensionality Reduction API This is a high-performance dimensionality reduction microservice using UMAP (Uniform Manifold Approximation and Projection). It provides an efficient way to reduce high-dimensional data to 2D or 3D representations, making it easier to visualize and analyze complex datasets. When to Use This Service Visualizing high-dimensional data in 2D or 3D space Reducing dimensionality of large datasets for machine learning tasks Exploring relationships and clusters in complex data Preprocessing step for other machine learning algorithms Common Use Cases Visualizing word embeddings in a scatterplotcs Exploring customer segmentation in marketing analytics Visualizing image embeddings in computer vision tasks

* This tool fetches real-time data from various free APIs to create a JSON object * representing the current state of the world from different perspectives. * Data is cached for 30 minutes using Val Town's SQLite database to reduce API calls and improve performance.