Posts

  • timing.js

    • Normalizes firstPaint across Chrome, Opera and IE11 to timing.getTimes().firstPaint. Firefox may be able to do similar with MozAfterPaint
    • Adds firstPaintTime (firstPaint - load/nav start)
    • Adds:domReadyTime, initDomTreeTime, loadEventTime, loadTime, redirectTime, requestTime, unloadEventTime connectTime

    Tags: #javascript

  • fusion2urdf

    A Fusion 360 Script to export URDF

    I have stopped developing this repo, but any contributions are welcome. This repo only supports Gazebo, if you are using pybullet, see: https://github.com/yanshil/Fusion2PyBullet.

    Tags: #python

  • rearview

    Timeseries data monitoring framework

    Download the latest release.

    Tags: #ruby

  • graphql-inspector

    🕵️‍♀️ Validate schema, get schema change notifications, validate operations, find breaking changes, look for similar types, schema coverage

    • Compares schemas
    • Detect breaking or dangerous changes
    • Schema change notifications
    • Use serverless functions validate changes
    • Validates Operations and Fragments against a schema
    • Finds similar / duplicated types
    • Schema coverage based on Operations and Fragments
    • Serves a GraphQL server with faked data and GraphiQL
    • Docker Image

    Tags: #typescript • graphql • javascript

  • jpush-api-java-client

    JiGuang’s officially supported Java client library for accessing JPush APIs. 极光官方支持的 Java 版本服务器端 SDK。

    欢迎使用新一代 jiguang-sdk-java!这个 SDK 旨在提供更好的性能、更多功能和更好的用户体验。

    为什么升级?

    • 性能优化:新版本经过优化,运行更快,消耗更少的资源。
    • 功能增强:引入了许多新功能和改进,使您的开发工作更加高效。
    • Bug 修复:解决了上个版本存在的问题,提高了稳定性和可靠性。

    极光已推出新版本的 SDK 供广大用户使用,当前版本后续将不推荐使用,请移步仓库 jiguang-sdk-java 了解更多。

    Tags: #java • jpush • sdk-java

  • hyperview

    Server-driven mobile apps with React Native

    Hyperview is a new hypermedia format and React Native client for developing server-driven mobile apps.

    • Serve your app as XML: On the web, pages are rendered in a browser by fetching HTML content from a server. With Hyperview, screens are rendered in your mobile app by fetching Hyperview XML (HXML) content from a server. HXML’s design reflects the UI and interaction patterns of today’s mobile interfaces.
    • Work with any backend web technology: Use battle-tested web technologies like Django, Rails, or Node. Any HTTP server can host a Hyperview app. You can even deploy your app as a collection of static XML files if you want!
    • Update your apps instantly by deploying your backend: Say goodbye to slow release cycles and long app store review times. With Hyperview, your backend controls your app’s layout, content, and available actions. This means you can update any aspect of your app with a server-side change. True CI/CD is finally attainable for mobile development.
    • Forget about API versioning and backwards compatibility: Unlike traditional native apps, every user always runs the most recent version of your code. With no version fragmentation, you can be more productive by eliminating the need to support and maintain older app versions.

    See the Hyperview website for more information about Hyperview and Hyperview XML.

    Tags: #typescript

  • coin-hive

    CoinHive cryptocurrency miner for node.js

    Mine cryptocurrencies Monero (XMR) and Electroneum (ETN) using CoinHive from node.js

    New: Now you can run this miner on any stratum based pool.

    New 2: Now you can mine Electroneum (ETN).

    Need a proxy? check coin-hive-stratum.

    Tags: #javascript • coinhive • monero

  • obsidian-webhooks

    Connect obsidian to the internet of things via webhooks

    Obsidian plugin and service that connects your editor to the internet of things through webhooks

    Tags: #typescript • obsidian • obsidian-plugin

  • leaf

    🍁 The easiest way to create clean, simple but powerful web apps and APIs quickly

    Leaf is a PHP micro framework that helps you create clean, simple but powerful web apps and APIs quickly.

    Tags: #php • php-framework • leaf

  • neuralnetworks

    java deep learning algorithms and deep neural networks with gpu acceleration

    Update This is a newer version of the framework, that I developed while working at ExB Research. Currently, you can build the project, but some of the tests are not working. If you want to access the previous version it’s available in the old branch.

    This is a Java implementation of some of the algorithms for training deep neural networks. GPU support is provided via the OpenCL and Aparapi. The architecture is designed with modularity, extensibility and pluggability in mind.

    Tags: #java

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