Performance Libraries

19 Components & Libraries

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Performance Libraries

The fastest HTTP/2 Go Web Framework. New, modern and easy to learn. Fast development with Code you control. Unbeatable cost-performance ratio :leaves: :rocket: | 谢谢 | #Go

Iris is a fast, simple yet fully featured and very efficient web framework for Go. It provides a beautifully expressive and easy to use foundation for your next website or API. Some of the features I…

:rocket: Build and manage real-life ML, AI, and data science projects with ease!

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Continuous Profiling Platform. Debug performance issues down to a single line of code

Pyroscope is an open source continuous profiling platform. It will help you: Pyroscope supports all major architectures and is very easy to install. For example, here is how you install on a mac: Pyr…

A curated list of awesome test automation frameworks, tools, libraries, and software for different programming languages. Sponsored by https://zapple.tech

Also we are supporting and looking for contribution for project: Feel free to fork and add new content! Your contributions are always welcome!

An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈

These three functionalities enable a variety of use cases for data scientists, machine learning engineers, and data engineers: From here, you can quickly log a dataset: And there you have it, you now…

Visual Python and C++ nanosecond profiler, logger, tests enabler

Palanteer is a set of lean and efficient tools to improve the quality of software, for C++ and Python programs. Simple code instrumentation, mostly automatic in Python, delivers powerful features: Pa…

Evolutionary algorithm toolbox and framework with high performance for Python

The Genetic and Evolutionary Algorithm Toolbox for Python with high performance. The features of Geatpy: Capability of solving single-objective, multi-objectives, many-objectives and combinatorial op…

Detecting silent model failure. NannyML estimates performance for regression and classification models using tabular data. It alerts you when and why it changed. It is the only open-source library capable of fully capturing the impact of data drift on performance.

Because NannyML can estimate performance, it is possible to weed out data drift alerts that do not impact expected performance, combatting alert fatigue. Besides linking data drift issues to drops in…

No effort, no worry, maximum performance.

Caches your Django ORM queries and automatically invalidates them. Table of Contents: Cachalot officially supports Python 3.7-3.11 and Django 3.2, 4.1, 4.2 with the databases PostgreSQL, SQLite, and …

Collective Mind (CM) is a collection of portable and extensible automation recipes with a unified and human-friendly interface and minimal dependencies to make it easier to compose, benchmark and optimize AI, ML and other applications and systems across diverse and continuously changing models, data sets, software and hardware (cloud/edge)

For example, you should be able to run the MLPerf inference benchmark on Linux, Windows and MacOS using a few CM commands: You can also run the same commands using a unified CM Python API:

Version 1 of Technical Best Practices of Azure Databricks based on real world Customer and Technical SME inputs

Authors: Dhruv Kumar, Senior Solutions Architect, Databricks Premal Shah, Azure Databricks PM, Microsoft Bhanu Prakash, Azure Databricks PM, Microsoft Written by: Priya Aswani, WW Data Engineering &a…

Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python :zap:

If you use pip and don't have JAX installed already, you will also need to do: Running this script on 4 processes gives:

A command-line interface (CLI) utility written in pure Python to help you reduce the file size of images.

A command-line interface (CLI) utility written in pure Python to help you reduce the file size of images. This application is intended to be pure Python, with no special dependencies besides Pillow, …

Fast OpenGL Mathematics (GLM) for Python

And finally imported and used: In case you need the size of a PyGLM datatype, you can use

A fast poisson image editing implementation that can utilize multi-core CPU or GPU to handle a high-resolution image input.

Jiayi Weng (jiayiwen), Zixu Chen (zixuc) The above output shows all extensions have successfully installed. We have prepared the test suite to run: This script will download 8 tests from GitHub, and …

A performance library for machine learning applications.

You can also install Trident using pip.

A highly optimised C++ library for mathematical applications and neural networks.

LibRapid is an extremely fast, highly-optimised and easy-to-use C++ library for mathematics, linear algebra and more, with an extremely powerful multidimensional array class at it's core. Every part …

Analyses your database queries and schema and suggests indices and schema improvements

Results can be reported in a human-readable form, as YAML or sent to syslog and later aggregated & processed using ELK stack. Wait until the server is up and running. An example: MySQL's slow que…

Artificial intelligence (AI, ML, DL) performance metrics implemented in Python

Please include these citations if you plan to use this library: After installation, you can import Permetrics as any other Python module: Below is the most efficient and effective way to use this lib…

Related tags

term-rewriting-system

linux

scikit-learn