#open-source + #code

The complete kits include a carbon-fibre QAV250 racing frame, flight controller and almost all other components needed (except battery and receiver).

This topic provides full instructions for building the kit and configuring PX4 using QGroundControl.

Collection of 3D printable components for DEXI drone builds and AVR competition kits.

With a payload capacity of up to 0.5 lbs DEXI offers a range of benefits and opens up various possibilities for both recreational and professional applications.

DroneBlocks provides a complete educational platform for STEM educators, combining drones and robotics to bring cutting-edge technology into the classroom.

Mission-Critical Drone Electronics.

PX4 is used in a wide range of use-cases, from consumer drones to industrial applications. It is also the leading research platform for drones and has been successfully applied to under water vehicles and boats.

integrated AI Companion Computer and Flight Controller

VOXL 2 Features

16 grams, 70x36mm SWAP-optimized design
Powered by Qualcomm® QRB5165: 8 cores up to 3.091 GHz, 8GB LPDDR5
15 TOPS AI embedded Neural Processing Unit (NPU)
Integrated flight controller on DSP with TDK® ICM-42688 IMU and ICP-10111 Barometer
5G, 4G/LTE, WiFi, Microhard add-on connectivity

$1,269.99

ArduPilot provides a comprehensive suite of tools suitable for almost any vehicle and application. As an open source project, it is constantly evolving based on rapid feedback from a large community of users. The Development Team works with the community and commercial partners to add functionality to ArduPilot that benefits everyone. Although ArduPilot does not manufacture any hardware, ArduPilot firmware works on a wide variety of different hardware to control unmanned vehicles of all types. Coupled with ground control software, unmanned vehicles running ArduPilot can have advanced functionality including real-time communication with operators.

Installed in over 1,000,000 vehicles world-wide, and with advanced data-logging, analysis and simulation tools, ArduPilot is a deeply tested and trusted autopilot system.

The software suite is installed in vehicles from many manufacturers

Forgejo is a self-hosted lightweight software forge. Easy to install and low maintenance, it just does the job.

Brought to you by an inclusive community under the umbrella of Codeberg e.V., a democratic non-profit organization, Forgejo can be trusted to be exclusively Free Software. You can create an account on Codeberg and other instances or download it to self-host your own. It focuses on security, scaling, federation and privacy. Learn more about how it compares with other forges.

Today we’re releasing OpenAI Privacy Filter, an open-weight model for detecting and redacting personally identifiable information (PII) in text.

It is designed for high-throughput privacy workflows, and is able to perform context-aware detection of PII in unstructured text. It can run locally, which means that PII can be masked or redacted without leaving your machine. It processes long inputs efficiently, making redaction decisions in a quick, single pass.

Career-Ops turns any AI coding CLI into a full job search command center. Instead of manually tracking applications in a spreadsheet, you get an AI-powered pipeline that:

Evaluates offers with a structured A-F scoring system (10 weighted dimensions)
Generates tailored PDFs -- ATS-optimized CVs customized per job description
Scans portals automatically (Greenhouse, Ashby, Lever, company pages)
Processes in batch -- evaluate 10+ offers in parallel with sub-agents
Tracks everything in a single source of truth with integrity checks

Important: This is NOT a spray-and-pray tool. Career-ops is a filter -- it helps you find the few offers worth your time out of hundreds. The system strongly recommends against applying to anything scoring below 4.0/5. Your time is valuable, and so is the recruiter's. Always review before submitting.

Career-ops is agentic: Claude Code navigates career pages with Playwright, evaluates fit by reasoning about your CV vs the job description (not keyword matching), and adapts your resume per listing.

Heads up: the first evaluations won't be great. The system doesn't know you yet. Feed it context -- your CV, your career story, your proof points, your preferences, what you're good at, what you want to avoid. The more you nurture it, the better it gets. Think of it as onboarding a new recruiter: the first week they need to learn about you, then they become invaluable.

Built by someone who used it to evaluate 740+ job offers, generate 100+ tailored CVs, and land a Head of Applied AI role. Read the full case study.

Connecting the most prolific open source maintainers & contributors with their next jobs

This program generates images from text prompts (and optionally from other images) using the FLUX.2-klein-4B model from Black Forest Labs. It can be used as a library as well, and is implemented entirely in C, with zero external dependencies beyond the C standard library. MPS and BLAS acceleration are optional but recommended.

the short version is that it’s now possible to point a coding agent at some other open source project and effectively tell it “port this to language X and make sure the tests still pass” and have it do exactly that.

the short version is that it’s now possible to point a coding agent at some other open source project and effectively tell it “port this to language X and make sure the tests still pass” and have it do exactly that.

Does this library represent a legal violation of copyright of either the Rust library or the Python one? #

I decided that the right thing to do here was to keep the open source license and copyright statement from the Python library author and treat what I had built as a derivative work, which is the entire point of open source.

Even if this is legal, is it ethical to build a library in this way? #

After sitting on this for a while I’ve come down on yes, provided full credit is given and the license is carefully considered. Open source allows and encourages further derivative works! I never got upset at some university student forking one of my projects on GitHub and hacking in a new feature that they used. I don’t think this is materially different, although a port to another language entirely does feel like a slightly different shape.

The much bigger concern for me is the impact of generative AI on demand for open source. The recent Tailwind story is a visible example of this—while Tailwind blamed LLMs for reduced traffic to their documentation resulting in fewer conversions to their paid component library, I’m suspicious that the reduced demand there is because LLMs make building good-enough versions of those components for free easy enough that people do that instead.

SearXNG is a free internet metasearch engine which aggregates results from up to 244 search services. Users are neither tracked nor profiled. Additionally, SearXNG can be used over Tor for online anonymity.

Get started with SearXNG by using one of the instances listed at searx.space. If you don’t trust anyone, you can set up your own, see Installation.

Lemmy is similar to sites like Reddit, Lobste.rs, or Hacker News: you subscribe to forums you're interested in, post links and discussions, then vote, and comment on them. Behind the scenes, it is very different; anyone can easily run a server, and all these servers are federated (think email), and connected to the same universe, called the Fediverse.

For a link aggregator, this means a user registered on one server can subscribe to forums on any other server, and can have discussions with users registered elsewhere.

It is an easily self-hostable, decentralized alternative to Reddit and other link aggregators, outside of their corporate control and meddling.

Each Lemmy server can set its own moderation policy; appointing site-wide admins, and community moderators to keep out the trolls, and foster a healthy, non-toxic environment where all can feel comfortable contributing.

Embed charts anywhere. Our chart API generates chart images, QR codes, and more.

Highly customizable. We're built on Chart.js, the most popular open-source charting library. We'll render any Chart.js configuration.

Easy to use. Start by putting your Chart.js definition in a URL: https://quickchart.io/chart?c={your chart here}

No-code support. Not technical? No problem. Design your chart using the Chart Maker, Zapier, or Make.