Becquerel is a Python package for analyzing nuclear spectroscopic measurements, offering tools to read/write spectrum files, fit spectral features, perform detector calibrations, and interpret results. It relies on numpy, scipy, matplotlib, and pandas for data analysis and visualization. The package is designed for both educational and research use, supporting a wide range of users from undergraduates to advanced researchers.
- Developed by Lawrence Berkeley National Laboratory
- Supports spectrum file formats like N42, CHN, and CSV
- Includes tools for radiation spectrum plotting and nuclear data access
- Developed by Lawrence Berkeley National Laboratory
- Supports spectrum file formats like N42, CHN, and CSV
- Includes tools for radiation spectrum plotting and nuclear data access
Tyler August writes that CircuitPython has been enhanced with precompiled functions to boost performance. This new feature, developed by Mikey Sklar with help from Anthropic's Claude LLM, allows users to compile critical sections of code for faster execution, up to 70x speed improvements. The update enables 'native' mode for a 3X speed boost and 'viper' mode for significantly higher performance, similar to MicroPython's Viper compiler. While CircuitPython still lacks inline assembly, it's closer to the capabilities of MicroPython now. The article also notes the versatility of Python in microcontroller projects, ranging from e-bikes to music players.
- Enhances performance by allowing precompiled code execution
- Developed by Mikey Sklar with assistance from Anthropic's Claude LLM
- 'Native' mode offers 3X speed boost, 'Viper' mode up to 70X
- Still lacks inline assembly, but closer to MicroPython capabilities
- Python's versatility in microcontroller projects highlighted
- Enhances performance by allowing precompiled code execution
- Developed by Mikey Sklar with assistance from Anthropic's Claude LLM
- 'Native' mode offers 3X speed boost, 'Viper' mode up to 70X
- Still lacks inline assembly, but closer to MicroPython capabilities
- Python's versatility in microcontroller projects highlighted
VoidAuth is an open-source Single Sign-On (SSO) authentication and user management provider designed for self-hosted environments. It offers a variety of features to protect applications, including support for OpenID Connect (OIDC), LDAP directory services, multi-factor authentication (MFA), passkeys, and customizable themes.
- Supports Proxy ForwardAuth
- Offers encryption-at-rest using Postgres or SQLite databases
- Includes user self-registration and invitation capabilities
- Allows customization of logos, titles, colors, and email templates
- Supports Proxy ForwardAuth
- Offers encryption-at-rest using Postgres or SQLite databases
- Includes user self-registration and invitation capabilities
- Allows customization of logos, titles, colors, and email templates
This GitHub repository features ReadAny, a local-first AI e-book reader designed for desktop and mobile platforms. The application facilitates an intelligent reading workflow through semantic search, RAG (Retrieval-Augmented Generation) chat, highlights, text-to-speech, and WebDAV synchronization to build private knowledge bases from personal libraries.
- Supports multiple formats including EPUB, PDF, MOBI, AZW3, FB2, CBZ, and TXT.
- Features a "Skills System" for built-in or custom AI tasks like summarization or character tracking.
- Offers cross-device synchronization via WebDAV to keep notes and highlights in sync.
- Built with a modern tech stack including Tauri (Rust), React 19, TypeScript, and Tailwind CSS.
- Supports multiple formats including EPUB, PDF, MOBI, AZW3, FB2, CBZ, and TXT.
- Features a "Skills System" for built-in or custom AI tasks like summarization or character tracking.
- Offers cross-device synchronization via WebDAV to keep notes and highlights in sync.
- Built with a modern tech stack including Tauri (Rust), React 19, TypeScript, and Tailwind CSS.
The `check-if-email-exists` repository provides a Rust-based tool designed to verify the existence and deliverability of email addresses without actually sending an email. The project includes multiple ways to interact with it, including a CLI binary, a programmatic library for Rust projects, and a Dockerized HTTP backend that offers various verification features such as syntax validation, MX record checking, and SMTP server verification.
- Offers several modes: via CLI, through a Rust crate dependency, or using an HTTP/Docker backend.
- Verifies multiple properties including reachability status, disposable email detection, role account identification, and Gravatar URLs.
- Includes checks for "Have I Been Pwned?" to see if an email has been compromised in data breaches.
- Offers several modes: via CLI, through a Rust crate dependency, or using an HTTP/Docker backend.
- Verifies multiple properties including reachability status, disposable email detection, role account identification, and Gravatar URLs.
- Includes checks for "Have I Been Pwned?" to see if an email has been compromised in data breaches.
OpenHuman is an open-source agent harness designed as a personal AI super intelligence, featuring local-first memory through Markdown trees in SQLite and orchestration capabilities via checkpointed graphs. It functions as a brain that builds persistent context from various data sources like email and calendars, acting as both an orchestrator for multi-agent workflows and a deep researcher with built-in web search and media generation tools.
- Features "Memory Trees" stored locally in Markdown format to create a Karpathy-style Obsidian wiki.
- Provides end-to-end encrypted agent-to-agent messaging using the Signal protocol.
- Supports visual, trigger-driven workflows that can be proposed by an AI and reviewed on a canvas.
- Includes a "Privacy Mode" which ensures no inference data leaves the user's machine when toggled.
- Features "Memory Trees" stored locally in Markdown format to create a Karpathy-style Obsidian wiki.
- Provides end-to-end encrypted agent-to-agent messaging using the Signal protocol.
- Supports visual, trigger-driven workflows that can be proposed by an AI and reviewed on a canvas.
- Includes a "Privacy Mode" which ensures no inference data leaves the user's machine when toggled.
The OpenAI Agents API architecture consists of three primary components: the harness, which is a hosted Codex instance that manages model loops and sessions; the environment, where compute or file operations occur via sandboxes or local infrastructure; and the application server, which acts as the bridge between the user's product and the agent. Depending on requirements, an environment can be non-existent (using only external tools), OpenAI-hosted in a managed sandbox, or self-hosted on private infrastructure through an executor connection.
- Users can use "none" for `environment.type` if agents only need to call external services via function tools without local compute.
- Self-hosted environments require the developer to manage provisioning, reconnection, and shutdown of the lifecycle.
- Progress can be tracked using streaming for real-time events or webhooks for asynchronous state changes.
- Managed sandboxes allow developers to pre-configure specific packages, files, and network access levels.
- Users can use "none" for `environment.type` if agents only need to call external services via function tools without local compute.
- Self-hosted environments require the developer to manage provisioning, reconnection, and shutdown of the lifecycle.
- Progress can be tracked using streaming for real-time events or webhooks for asynchronous state changes.
- Managed sandboxes allow developers to pre-configure specific packages, files, and network access levels.
Yash Patel writes about his preferred writing workflow, which centers on using Markdown for the actual drafting process to minimize distractions and maintain focus. To meet professional requirements when sharing finished work with clients or editors who require .docx files, he utilizes Pandoc, an open-source document converter, to bridge the gap between simple text files and Microsoft Word documents.
- Pandoc is a free, open-source tool available for installation or via web.
- The basic command line usage for conversion is: `pandoc article.md -o article.docx`
- Markdown allows authors to focus on writing by using symbols instead of formatting buttons.
- Pandoc is a free, open-source tool available for installation or via web.
- The basic command line usage for conversion is: `pandoc article.md -o article.docx`
- Markdown allows authors to focus on writing by using symbols instead of formatting buttons.
Frederic Lardinois writes that Harness field CTO Martin Reynolds is addressing the surge in pull requests caused by coding agents, which can increase new code volume from 1.5x to as much as 50x. To manage this "review bottleneck," Harness has launched a rebuilt Code Repository and an AI Code Review product designed specifically for high-frequency agent traffic rather than just human teams. The company's approach focuses on using a software delivery knowledge graph to provide reviewers with context quickly, helping them distinguish critical code changes from routine dependency updates.
- Coding agents can increase the volume of pull requests by 10x to 50x compared to traditional developer workflows.
- Harness rebuilt its repository service as an "AI-first" platform that is Kubernetes-based and runs across multiple clouds.
- The new AI Code Review tool integrates with existing GitHub repositories, allowing teams to use it without migrating their entire codebase.
- Coding agents can increase the volume of pull requests by 10x to 50x compared to traditional developer workflows.
- Harness rebuilt its repository service as an "AI-first" platform that is Kubernetes-based and runs across multiple clouds.
- The new AI Code Review tool integrates with existing GitHub repositories, allowing teams to use it without migrating their entire codebase.
Chris Burnell writes about the increasing ability of HTML to perform dynamic functions that were previously dependent on JavaScript. He highlights several modern features, such as popovers, dialog elements, and grouped details accordions, which allow for complex user interface behaviors directly through native browser attributes.
- The `popover` attribute manages light dismissals (Esc key) and top-layer positioning without extra scripting or z-index management.
- A shared `name` attribute on `<details>` elements creates a native accordion effect where opening one item closes others in the same group.
- New "invoker commands" like `command="show-popover"` allow buttons to control popovers and dialogs without JavaScript.
- The `hidden="until-found"` attribute allows content to be hidden but automatically revealed when a user searches for it using browser default search functions.
- While HTML offers many native components like `<datalist>` or `<meter>`, the author cautions that accessibility support and styling consistency vary significantly across browsers.
- The `popover` attribute manages light dismissals (Esc key) and top-layer positioning without extra scripting or z-index management.
- A shared `name` attribute on `<details>` elements creates a native accordion effect where opening one item closes others in the same group.
- New "invoker commands" like `command="show-popover"` allow buttons to control popovers and dialogs without JavaScript.
- The `hidden="until-found"` attribute allows content to be hidden but automatically revealed when a user searches for it using browser default search functions.
- While HTML offers many native components like `<datalist>` or `<meter>`, the author cautions that accessibility support and styling consistency vary significantly across browsers.
