Blazingly fast data comparison tool for Python, powered by Rust. Compare massive CSV/Parquet datasets instantly.
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An UI and API for mididings https://github.com/mididings/mididings
- mididings
- live-music-automation
- osc-integration
- python-midi
extensible, high-performance configuration management library, optimized for hierarchical data
- configuration
- configuration-management
- config
- config-loader
High-performance Unicode width calculation library for Go 1.25+. 3.9-46x faster than go-runewidth with zero allocations. Perfect for TUI frameworks and terminal applications.
- cjk
- emoji
- go
- go125
Zero-config, auto-scaling worker pool for Go with priority-aware scheduling, adaptive resource management, and per-task retry logic.
- async
- auto-scaling
- backpressure
- concurrency
Get the global cache directory
- cache
- caching
- directory
- filesystem
High-performance 3D engine for Adobe Flash & AIR (GPU based)
UbikLoadPack observability plugin: Monitor your Apache JMeter performance test from your browser
The high-performance import map generator for the modern web
- golang
- import-maps
Performance Monitoring for Meteor
Simple solution for measuring the duration of Sitecore pipeline execution
Report of GTFS performance compared to schedule.
JChav is a way to see the change in performance of your web application over time, by running a benchmark test for each build you produce.
vertx-values enhances JSON handling in Vert.x by providing codecs for the immutable JSON objects from the json-values library. It eliminates the need for copying JSON data during transmission over the Event Bus, reducing garbage collection overhead and boosting performance.
- immutability
- json
- json-values
- persistent-data-structure
eBPF system monitor that runs inside the kernel. Sub-millisecond samples, zero allocations, faster than top.
Demo of high performance AI model (pmml export) evaluator api base on Vert.x, Supports dynamic routing configuration for multiple pmml models via JSON
- pmml
- ai
- java-pmml
- verticle
High performance, zero-allocation, low memory usage (8 bytes), low precision (17 digits), partially compatible with int64 and shopspring Decimal
JavaScript inheritance performance tests done right
Comparing the performance of Stacked Ensemble Learning & machine learning algorithms like Random Forest, Decision Tree, Adaboost, Gradient Boost and XGBoost Classifier in Python for Stock Market Trend Prediction.
Test
Basing on Magento 2 Translation Pack at Crowdin, Magento 2 Slovak Language Pack is buit by Mageplaza team to promote the performance of your storefront when you want to develop the own eCommerce business in the Slovakia market. Rather than the English language, you should consider Slovak language to apporach the domestic customers.