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SocketRocket
A conforming Objective-C WebSocket client library
A conforming WebSocket (RFC 6455) client library for iOS, macOS and tvOS. SocketRocket currently conforms to all core ~300 of Autobahn's fuzzing tests (aside from two UTF-8 ones where it is merely non-strict tests 6.4.2 and 6.4.4). SocketRocket is asynchronous and non-blocking. Most of the work is done on a background thread. You can include SocketRocket as a subproject inside of your application if you'd prefer, although we do not recommend this, as it will increase your indexing time significantly. ... -
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CloudCompare
CloudCompare main repository
CloudCompare is a 3D point cloud (and triangular mesh) processing software. It was originally designed to perform comparison between two 3D points clouds (such as the ones obtained with a laser scanner) or between a point cloud and a triangular mesh. It relies on an octree structure that is highly optimized for this particular use-case. It was also meant to deal with huge point clouds (typically more than 10 million points, and up to 120 million with 2 GB of memory). -
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DeepSpeed
Deep learning optimization library: makes distributed training easy
DeepSpeed is an easy-to-use deep learning optimization software suite that enables unprecedented scale and speed for Deep Learning Training and Inference. With DeepSpeed you can: 1. Train/Inference dense or sparse models with billions or trillions of parameters 2. Achieve excellent system throughput and efficiently scale to thousands of GPUs 3. Train/Inference on resource constrained GPU systems 4. Achieve unprecedented low latency and high throughput for inference 5. Achieve extreme compression for an unparalleled inference latency and model size reduction with low costs DeepSpeed offers a confluence of system innovations, that has made large scale DL training effective, and efficient, greatly improved ease of use, and redefined the DL training landscape in terms of scale that is possible. ... -
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LEANN
Local RAG engine for private multimodal knowledge search on devices
LEANN is an open source system designed to enable retrieval-augmented generation (RAG) and semantic search across personal data while running entirely on local devices. It focuses on dramatically reducing the storage overhead typically required for vector search and embedding indexes, enabling efficient large-scale knowledge retrieval on consumer hardware. LEANN introduces a storage-efficient approximate nearest neighbor index combined with on-the-fly embedding recomputation to avoid storing... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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MLE-bench
AI multi-agent framework for automating data-driven R&D workflows
...It uses large language models and multiple collaborating agents to simulate the typical cycle of research, experimentation, and improvement that human data scientists follow. It separates the process into two core phases: a research stage that proposes hypotheses and ideas, and a development stage that implements and evaluates them through code execution and experiments. By iterating through these stages, the framework continuously refines models and strategies using feedback from previous results. RD-Agent focuses heavily on automating complex tasks such as feature engineering, model design, and experimentation, which are traditionally time-consuming in machine learning and quantitative research workflows. ... -
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Sage Chat
Chat with any codebase in under two minutes | Fully local
Sage is an open-source AI developer assistant designed to help engineers understand and work with complex codebases more effectively. The tool functions similarly to an intelligent research agent that can analyze a repository and answer questions about how the software works. Instead of focusing solely on code generation, Sage emphasizes code comprehension, system architecture analysis, and integration guidance. Developers can ask natural language questions about a project, and the system... -
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Proton Drive for Mac
macOS client for end-to-end encrypted cloud storage
Proton Drive for macOS is Proton’s official macOS client repository for end-to-end encrypted cloud storage, designed to provide a desktop experience that integrates naturally with macOS while keeping sync logic transparent and inspectable. The project explicitly separates responsibilities into two major development targets: a menu bar app and a File Provider extension that handles file synchronization operations, reflecting Apple’s modern approach to cloud file integration on macOS. It is built using Xcode and an Xcode workspace, with setup steps that walk through provisioning profiles for multiple targets, which is typical for macOS apps that include extensions and background components. ... -
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Autocxx
Tool for safe ergonomic Rust/C++ interop driven from existing C++
...It integrates the functionality of bindgen (for parsing and generating Rust bindings from C++ headers) with cxx (for safe and idiomatic Rust–C++ communication), automating the creation of bridges between the two languages. With autocxx, developers can include C++ headers directly in Rust source code and automatically generate bindings for the corresponding C++ classes, functions, and types. This approach greatly simplifies working with existing C++ libraries in Rust while maintaining safety and memory correctness. By reducing the amount of boilerplate and manual configuration typically needed for FFI (Foreign Function Interface) bindings, autocxx allows developers to focus on higher-level logic rather than low-level integration details. -
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Pearl
A Production-ready Reinforcement Learning AI Agent Library
...It is organized around modular components—policy learners, replay buffers, exploration strategies, safety modules, and history summarizers—that snap together to form reliable agents with clear boundaries and strong defaults. The library implements classic and modern algorithms across two regimes: contextual bandits (e.g., LinUCB, LinTS, SquareCB, neural bandits) and fully sequential RL (e.g., DQN, PPO-style policy optimization), with attention to practical concerns like nonstationarity and dynamic action spaces. Tutorials demonstrate end-to-end workflows on OpenAI Gym tasks and contextual-bandit setups derived from tabular datasets, emphasizing reproducibility and clear baselines. ... -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Smallpond
A lightweight data processing framework built on DuckDB and 3FS
smallpond is a lightweight distributed data processing framework built by DeepSeek, designed to scale DuckDB workloads over clusters using their 3FS (Fire-Flyer File System) backend. The idea is to preserve DuckDB’s fast analytics engine but lift it from single-node to multi-node settings, giving you the ability to operate on large datasets (e.g. petabyte scale) without moving to a heavyweight system like Spark. Users write Python-like code (via DataFrame APIs or SQL strings) to express... -
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Elixir Code Smells
Catalog of Elixir-specific code smells
...Initially compiled via grey literature (blogs, talks, forums), the catalog now includes 23 Elixir-specific smells plus 12 traditional smells adapted to Elixir. Each entry documents the name, category, problem, example, refactoring strategy, and step-by-step treatments. The smells are grouped into two categories: design-related (coarse-grained, harder to detect, affecting architecture/processes) and low-level concerns (fine-grained, often readability and maintainability issues). The catalog evolves with community feedback and contributions, aiming to help developers recognize harmful patterns and apply disciplined refactoring to improve maintainability, testability, and performance in Elixir systems. -
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RustPython
A Python Interpreter written in Rust
...The interpreter aims to support the Python standard library, dynamic typing, garbage collection, and common builtins, although full compatibility is a work in progress. It also supports bytecode compilation and execution, enabling faster startup and reuse of parsed code. By bridging the two language ecosystems, RustPython offers a compelling path for projects that want Python flexibility but desire Rust’s performance and safety discipline. -
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DTCoreText
Methods to allow using HTML code with CoreText
DTCoreText renders HTML into Core Text–backed attributed text on iOS, providing fine control over typography and inline content. It parses a practical subset of HTML/CSS and maps elements to attributed strings, handling fonts, colors, paragraph styles, lists, links, and embedded images or attachments. The layout engine uses Core Text framesetting to produce high-quality text rendering, including proper line breaking, kerning, and ligatures. Developers can plug in custom URL handlers,... -
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Clay
High performance UI layout library in C
...The Clay macro by default accepts an ID as its first argument, which is usually provided by the CLAY_ID() convenience macro. Elements can also be created with auto-generated IDs, by using the CLAY_AUTO_ID() macro. Element IDs have two main use cases. Firstly, tagging an element with an ID allows you to query information about the element later, such as its mouseover state or dimensions. Secondly, IDs are visually useful when attempting to read and modify UI code, as well as when using the built-in debug tools. -
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Async.MQTT5
A C++17 MQTT client based on Boost.Asio
...Async.MQTT5 represents a comprehensive implementation of the MQTT 5.0 protocol standard, offering full support for publishing or receiving messages with QoS 0, 1, and 2. The MQTT protocol is widely utilised for communication in various real-world scenarios, primarily serving as a reliable communication protocol for data transfer to and from IoT devices. While the MQTT protocol itself is relatively straightforward, integrating it into an application can be complex, especially due to the challenging implementation of message retransmission after a disconnect/reconnect sequence. ... -
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Isaac ROS Visual SLAM
Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM
Discover a faster, easier way to build advanced AI robotics applications with the NVIDIA Isaac™ ROS collection of accelerated computing packages and AI models, bringing NVIDIA acceleration to ROS developers everywhere. Isaac ROS Visual SLAM provides a high-performance, best-in-class ROS 2 package for VSLAM (visual simultaneous localization and mapping). This package uses one or more stereo cameras and optionally an IMU to estimate odometry as an input to navigation. It is GPU-accelerated to provide real-time, low-latency results in a robotics application. VSLAM provides an additional odometry source for mobile robots (ground-based) and can be the primary odometry source for drones. ... -
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fast_float
Implementation of the C++ from_chars functions for number types
...The resulting floating-point value is the closest floating-point value (using either float or double), using the "round to even" convention for values that would otherwise fall right in between two values. That is, we provide exact parsing according to the IEEE standard. -
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CRI-O
Open Container Initiative-based implementation of Kubernetes Container
...If a Kubernetes release goes End of Life, then the corresponding CRI-O version can be considered in the same way. This means that CRI-O also follows the Kubernetes n-2 release version skew policy when it comes to feature graduation, deprecation or removal. This also applies to features that are independent of Kubernetes. Nevertheless, feature backports to supported release branches, which are independent from Kubernetes or other tools like cri-tools, are still possible. This allows CRI-O to decouple from the Kubernetes release cycle and have enough flexibility when it comes to implementing new features. ... -
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Graphile's Crystal Monorepo
Graphile's Crystal Monorepo; home to Grafast, PostGraphile
...At Graphile we love GraphQL so much we named ourself for our love of it! This repository houses many of the Graphile packages that relate to GraphQL (or relate to the packages that relate to GraphQL, or relate to that package...); the two headline projects are Grafast and PostGraphile but there are many other packages, a fair few of which can be used independently. -
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NeuralOperators.jl
DeepONets, Neural Operators, Physics-Informed Neural Ops in Julia
...Instead of solving by finite element method, a PDE problem can be resolved by training a neural network to learn an operator mapping from infinite-dimensional space (u, t) to infinite-dimensional space f(u, t). Neural operator learns a continuous function between two continuous function spaces. The kernel can be trained on different geometry, which is learned from a graph. Fourier neural operator learns a neural operator with Dirichlet kernel to form a Fourier transformation. It performs Fourier transformation across infinite-dimensional function spaces and learns better than neural operators. ... -
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ParallelStencil.jl
Package for writing high-level code for parallel stencil computations
...Performance similar to CUDA C / HIP can be achieved, which is typically a large improvement over the performance reached when using only CUDA.jl or AMDGPU.jl GPU Array programming. For example, a 2-D shallow ice solver presented at JuliaCon 2020 [1] achieved a nearly 20 times better performance than a corresponding GPU Array programming implementation; in absolute terms, it reached 70% of the theoretical upper performance bound of the used Nvidia P100 GPU, as defined by the effective throughput metric, T_eff. ParallelStencil relies on the native kernel programming capabilities of CUDA.jl and AMDGPU.jl and on Base.Threads for high-performance computations on GPUs and CPUs, respectively. ... -
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Jekyll Picture Tag
Easy responsive images for Jekyll
My life just got a lot busier; I'd really like a maintainer or two to help. I'm not abandoning JPT, I just don't have a ton of time to put into hacking on it. If you've been learning Ruby and you want to move beyond tutorials and throwaway projects, I'd love to hear from you. I'd be happy to help you gain experience and credibility, if you're willing to help me maintain this project! It's simple to throw a photo on a page and call it a day, but doing justice to users on all different browsers and devices is tedious and tricky. ... -
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Jitsu
Jitsu is an open-source Segment alternative
Jitsu is a fully-scriptable data ingestion engine for modern data teams. Set-up a real-time data pipeline in minutes, not days. Installing Jitsu is a matter of selecting your framework and adding few lines of code to your app. Jitsu is built to be framework agnostic, so regardless of your stack, we have a solution that'll work for your team. Connect data warehouse (Snowflake, Clickhouse, BigQuery, S3, Redshift ot Postgres) and query your data instantly. Jitsu can either stream data in... -
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gusty
Making DAG construction easier
...All you have to do is provide a list of dependencies or external_dependencies inside of a task file, and gusty will automatically set each task's dependencies and create external task sensors for any external dependencies listed. gusty works with both Airflow 1.x and Airflow 2.x, and has even more features, all of which aim to make the creation, management, and iteration of DAGs more fluid, so that you can intuitively design your DAG and build your tasks. -
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Adblock FastOwnTracks Recorder
Store and access data published by OwnTracks apps
The OwnTracks Recorder is a lightweight program for storing and accessing location data published via MQTT (or HTTP) by the OwnTracks apps. It is a compiled program which is easy to install and operate even on low-end hardware, and it doesn't require an external database. There are two main components: the Recorder obtains data via MQTT subscribes or HTTP POST, stores the data in plain files and serve it via its built-in REST API, and the ocat command-line utility reads stored data in a variety of formats. We developed the Recorder as a one-stop solution to storing location data published by our OwnTracks apps (iOS and Android) and retrieving this data. ...
