#rust #high_performance #native_apps #webview #works_with_clojurescript #works_with_construct #works_with_elm #works_with_flutter #works_with_gatsby #works_with_mint #works_with_phaser #works_with_quasar #works_with_react #works_with_reason #works_with_svelte #works_with_vue #works_with_yew

https://github.com/tauri-apps/tauri

#html #blog #clean #fast #grayscale #high_performance #hugo_theme #mit_license #mods #portfolio #social_icons

https://github.com/adityatelange/hugo-PaperMod

#rust #search_engine #machine_learning #algorithm #neural_network #high_performance #artificial_intelligence #simd #data_structures #image_search #recommender_system #approximate_nearest_neighbor_search #similarity_search #k_nearest_neighbors #hnsw #vector_search

https://github.com/hora-search/hora

#go #cache #database #databases #disk #distributed_database #distributed_systems #golang #high_performance #key_value #kvstore #leveldb #lsm #nosql #persistence #raft #redis #storage

https://github.com/gitsrc/IceFireDB

#java #apache #data_integration #data_pipeline #etl_framework #high_performance #offline #real_time #seatunnel #sql_engine

https://github.com/apache/incubator-seatunnel

#scala #actor_model #akka #cloud_native #concurrency #distributed_actors #distributed_systems #hacktoberfest #high_performance #reactive #streaming

https://github.com/akka/akka

#java #big_data #data_integration #data_lake #data_pipeline #data_synchronization #flink #high_performance #real_time

https://github.com/bytedance/bitsail

#cplusplus #compiler #gpu_programming #high_performance #llvm #parallel_programming #python

https://github.com/exaloop/codon

#go #high_performance #jit #json #simd

https://github.com/bytedance/sonic

#cplusplus #compiler #high_performance #python

https://github.com/lcompilers/lpython

#cplusplus #async #asynchronous #cpp #cpp14 #cpp17 #cpp20 #cross_platform #fmtlib #high_performance #log_library #logger #logging #logging_library #low_latency

https://github.com/odygrd/quill

#java #android #big_data #deserialization #fastjson #fastjson2 #graal #graalvm_native_image #high_performance #java #java_json #json #json_deserialization #json_parser #json_path #json_serialization #json_serializer #jsonb #serialization

FASTJSON 2 is a highly performant and easy-to-use Java JSON library. It offers significant performance improvements over other popular JSON libraries like Jackson and Gson. Here are the key benefits FASTJSON 2 outperforms other JSON libraries, making it ideal for applications requiring fast data processing.
- **Advanced Features** It includes support for JSONPath, SQL You can easily integrate it into your project using Maven or Gradle dependencies.

Using FASTJSON 2 simplifies your JSON handling tasks while providing superior performance and robust features.

https://github.com/alibaba/fastjson2

#rust #chatgpt #gpt_4 #high_performance #linux_desktop #mac #mac_desktop #music #no_electron #open #openai #poe #productivity #programming #rust #tauri #twitter #webview #windows_desktop #youtube

Pake is a tool that lets you turn any webpage into a desktop app using Rust, making it lightweight and fast. It supports Mac, Windows, and Linux. Here are the key benefits Pake apps are nearly 20 times smaller than Electron packages.
- **Fast** You can easily package webpages using command-line tools or online compilation with GitHub Actions.
- **Customizable**: You can customize app windows, add shortcuts, and more.

This makes Pake a convenient and efficient way to create desktop apps from web pages.

https://github.com/tw93/Pake

#cplusplus #abstraction #c_plus_plus #high_performance_computing #hpsf #kokkos #parallel_computing #programming_model

Kokkos is a tool that helps you write programs that run fast on many different computer systems. It works with various programming models like CUDA, HIP, and OpenMP, making it easy to use on different hardware. This means your programs can be efficient and work well on complex computer architectures. To get started, you can watch video lectures, read the programming guide, and look at examples. You can download Kokkos from GitHub or install it using tools like Spack. The benefit is that your programs will be faster and more flexible, working well on various high-performance computing platforms.

https://github.com/kokkos/kokkos